diff --git a/public/images/green-map.png b/public/images/green-map.png new file mode 100644 index 00000000..c356280c Binary files /dev/null and b/public/images/green-map.png differ diff --git a/public/images/interactive-map.png b/public/images/interactive-map.png new file mode 100644 index 00000000..134f8a95 Binary files /dev/null and b/public/images/interactive-map.png differ diff --git a/public/images/mama-pro.png b/public/images/mama-pro.png new file mode 100644 index 00000000..e34290c9 Binary files /dev/null and b/public/images/mama-pro.png differ diff --git a/src/assets/csv/technology_radar_dataset_updated_v10.csv b/src/assets/csv/technology_radar_dataset_updated_v10.csv new file mode 100644 index 00000000..5eab4d18 --- /dev/null +++ b/src/assets/csv/technology_radar_dataset_updated_v10.csv @@ -0,0 +1,213 @@ +Unnamed: 0,Ideas/Concepts/Examples,Description,Theme,Use Case,Status/Maturity,Disaster Cycle,Technology,Disaster Type,Region,Subregion,Country of Implementation,Supporting Partners,Un Host Organisation,Data,SDG,Date of Implementation,Source,imgurl +0,The UN Biodiversity Lab ,"UNDP, UN Environment, and the CBD Secretariat launched the UN Biodiversity Lab - an interactive mapping platform designed to solve biodiversity conservation and development challenges- as a free, open-source platform to provide policy makers with access to world-class data for national action. The spatial data platform that will help countries support conservation efforts and accelerate delivery of the 2030 Agenda.",Biodiversity ,Situational awareness/actionable information gathering,production,preparedness,Geographical Information Systems,Various,Global ,Global ,Global ,"UNDP, UNDP Nature Climate and Energy Team","UNDP, UNEP",Spatial Data,SDG 15,2016,https://www.unbiodiversitylab.org/,https://unbiodiversitylab.org/wp-content/uploads/2020/07/UNBL_FULL_WEBSITE.png +1,Disaster Resilience for Pacific SIDS (RESPAC),"Focuses on areas where Russian assistance can have maximum impact in close partnership with regional organizations and development partners, to provide support, technical assistance and results. Given identified gaps, the work of others, the skills and experience of UNDP, the project: - Strengthens EWs and climate monitoring capacity; - Strengthens preparedness/planning mechanisms to manage disaster recovery; - Increased use of financial instruments to manage and share disaster-related risks and fund post-disaster recovery efforts. It strengthens preparedness through improved disaster EW and climate information, response services and communication to reduce losses/impacts on the most vulnerable and addresses Resilient recovery.",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,recovery,Geographical Information Systems,Climate Change,Oceania,"Melanesia, Micronesia, Polynesia","Fiji, Kiribati, Marshall Islands, Micronesi, Nauru, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu","UNDP, The Russian Federation, UNDP Pacific Office in Fiji, Pacific Island Governments","UNDP, UNDP Pacific ",Spatial Data,SDG 13,2019,https://sustainabledevelopment.un.org/partnership/?p=14656,https://pbs.twimg.com/profile_images/933452262940147712/xKUhY-Bj_400x400.jpg +2,Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters,"After the massive earthquake struck Central Sulawesi, Indonesia in September 2018, through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific region can be used to support evidence-based decision making. From modelling population displacement to understanding changes in citizens behaviour after natural disasters, the research has yielded actionable insights for policymakers and a wealth of experiential knowledge.",Disaster Risk Management ,Disaster Relief logistic/resource allocation ,prototype,preparedness,"Data Collection, Data Analysis, Cyber Physical Systems, Geographical Information Systems",Earthquakes,Asia,South-eastern Asia,Indonesia," Digicel, International Organisation for Migration (IOM)",UN Pulse Lab Jakarta,"Mobile Network Data, Spatial Data",SDG 9,2019,https://www.unglobalpulse.org/2019/12/understanding-population-movement-after-the-2018-central-sulawesi-natural-disasters/,https://www.unglobalpulse.org/wp-content/uploads/2019/12/PLJ-Palu-visualization.webp +3,Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters,"After the massive earthquake struck Central Sulawesi, Indonesia in September 2018, through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific region can be used to support evidence-based decision making. From modelling population displacement to understanding changes in citizens behaviour after natural disasters, the research has yielded actionable insights for policymakers and a wealth of experiential knowledge.",Disaster Risk Management ,Disaster Relief logistic/resource allocation ,prototype,recovery,"Data Collection, Data Analysis, Cyber Physical Systems, Geographical Information Systems",Earthquakes,Asia,South-eastern Asia,Indonesia," Digicel, International Organisation for Migration (IOM)",UN Pulse Lab Jakarta,"Mobile Network Data, Spatial Data",SDG 9,2019,https://www.unglobalpulse.org/2019/12/understanding-population-movement-after-the-2018-central-sulawesi-natural-disasters/,https://www.unglobalpulse.org/wp-content/uploads/2019/12/PLJ-Palu-visualization.webp +4,Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters,"After the massive earthquake struck Central Sulawesi, Indonesia in September 2018, through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific region can be used to support evidence-based decision making. From modelling population displacement to understanding changes in citizens behaviour after natural disasters, the research has yielded actionable insights for policymakers and a wealth of experiential knowledge.",Disaster Risk Management ,Disaster Relief logistic/resource allocation ,prototype,response,"Data Collection, Data Analysis, Cyber Physical Systems, Geographical Information Systems",Earthquakes,Asia,South-eastern Asia,Indonesia," Digicel, International Organisation for Migration (IOM)",UN Pulse Lab Jakarta,"Mobile Network Data, Spatial Data",SDG 9,2019,https://www.unglobalpulse.org/2019/12/understanding-population-movement-after-the-2018-central-sulawesi-natural-disasters/,https://www.unglobalpulse.org/wp-content/uploads/2019/12/PLJ-Palu-visualization.webp +5,Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters,"After the massive earthquake struck Central Sulawesi, Indonesia in September 2018, through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific region can be used to support evidence-based decision making. From modelling population displacement to understanding changes in citizens behaviour after natural disasters, the research has yielded actionable insights for policymakers and a wealth of experiential knowledge.",Disaster Risk Management ,Disaster Relief logistic/resource allocation ,prototype,mitigation,"Data Collection, Data Analysis, Cyber Physical Systems, Geographical Information Systems",Earthquakes,Asia,South-eastern Asia,Indonesia," Digicel, International Organisation for Migration (IOM)",UN Pulse Lab Jakarta,"Mobile Network Data, Spatial Data",SDG 9,2019,https://www.unglobalpulse.org/2019/12/understanding-population-movement-after-the-2018-central-sulawesi-natural-disasters/,https://www.unglobalpulse.org/wp-content/uploads/2019/12/PLJ-Palu-visualization.webp +6,Quantifying Real-Time Rainfall Intensity in Bosnia and Herzegovina,"Accurate, spatially dense real-time rainfall measurements are essential for water management of any region, which in turn impacts agriculture, transportation and mobility, energy and weather hazards. After the war in Bosnia and Herzegovina, only 100 out of 500 rainfall stations have remained operational, hampering its spatial hydrological data collection. The project employs Big Data and Machine Learning, to fill in the missing gap by turning CCTV footage and videos obtained by smartphones into a real-time rainfall observation, allowing for accurately geo-referenced and cost-effective data collection. All the information collected is then available on the web portal and enable the authorities to be better prepared for meteorologically and hydrologically based hazards and associated risks for the population and to lead to a better-informed policymaking.","Environment, Agriculture",Situational awareness/actionable information gathering,prototype,recovery,"Data Collection, Big Data, Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Cloud Computing",Climate Change,Europe,Southern Europe,Bosnia and Herzegovina ,"Aqua Procon s.r.o., H2I Balkans D.O.O. Sarajevo","UNDP, UNDP Bosnia and Herzegovina",Spatial Data,SDG 13,2020,https://undp.cz/portfolio-item/quantifying-real-time-rainfall-intensity-in-bosnia-and-herzegovina/,https://undp.cz/wp-content/uploads/2020/04/7.jpg +8,Computer Vision Flood Forecasting using Remotely Sensed Data,"Regional flood forecasting and modeling is a big problem in the hydrological sciences. The issue is even more pronounced in Bosnia and Herzegovina due to inadequate hydro meteorological monitoring network, where only 100 out of 500 rainfall stations remained operational after the war. The project solicits the latest technology from different fields: Remote Sensing to acquire Earth Observations (EO) data, Computer Vision to process these data and Machine Learning (ML) to develop models in order to relate meteorological and other EO data with flooding. The approach is deployed to address one of the most pressing problems B&H currently faces increasingly frequent occurrence of floods, and shall result in accurate models of rainfal runoff behavior's, which would help Water Agencies and the Federal Hydro Meteorological Institute with flood prediction and management.",Sustainable management of natural resources,Disaster assessment/prediction and early warning systems,production,preparedness,"Data Collection, Artificial Intelligence, Machine Learning, Computer Vision, Remote Sensing, Mobile App",Floods,Europe,"Eastern Europe, Southern Europe","Bosnia and Herzegovina, Czechia"," GISAT, H2I Balkans ","UNDP, UNDP Bosnia and Herzegovina",Spatial Data,SDG 13,2020,https://undp.cz/portfolio-item/computer-vision-flood-forecasting-using-remotely-sensed-data/,https://undp.cz/wp-content/uploads/2020/09/gisat.jpg +9,C Bot ChatBot ,"AI-based chatboat assists Georgian businesses and the more than 125,000 residents of Rustavi by keeping them informed about city services, new regulations, and steps to take to cope with coronavirus challenges without leaving their homes.",Pandemic/Epidemic,Emergency communications,production,preparedness,"Chatbot, Artificial Intelligence, Natural Language Processing",Pandemic/Epidemic,Asia,Western Asia,Georgia,"Rustavi Innovations Hub, Rustavi Municipality, EU4Business","UNDP, UNDP Georgia",Text Data,SDG 3,2020,https://eu4georgia.ge/c-bot-chatbot-with-ai-keeps-georgian-business-informed-during-pandemic/,https://eu4georgia.eu/wp-content/themes/yootheme/cache/Banner_-01-729de3fc.jpeg +10,C Bot ChatBot ,"AI-based chatboat assists Georgian businesses and the more than 125,000 residents of Rustavi by keeping them informed about city services, new regulations, and steps to take to cope with coronavirus challenges without leaving their homes.",Pandemic/Epidemic,Emergency communications,production,recovery,"Chatbot, Artificial Intelligence, Natural Language Processing",Pandemic/Epidemic,Asia,Western Asia,Georgia,"Rustavi Innovations Hub, Rustavi Municipality, EU4Business","UNDP, UNDP Georgia",Text Data,SDG 3,2020,https://eu4georgia.ge/c-bot-chatbot-with-ai-keeps-georgian-business-informed-during-pandemic/,https://eu4georgia.eu/wp-content/themes/yootheme/cache/Banner_-01-729de3fc.jpeg +11,C Bot ChatBot ,"AI-based chatboat assists Georgian businesses and the more than 125,000 residents of Rustavi by keeping them informed about city services, new regulations, and steps to take to cope with coronavirus challenges without leaving their homes.",Pandemic/Epidemic,Emergency communications,production,response,"Chatbot, Artificial Intelligence, Natural Language Processing",Pandemic/Epidemic,Asia,Western Asia,Georgia,"Rustavi Innovations Hub, Rustavi Municipality, EU4Business","UNDP, UNDP Georgia",Text Data,SDG 3,2020,https://eu4georgia.ge/c-bot-chatbot-with-ai-keeps-georgian-business-informed-during-pandemic/,https://eu4georgia.eu/wp-content/themes/yootheme/cache/Banner_-01-729de3fc.jpeg +12,C Bot ChatBot ,"AI-based chatboat assists Georgian businesses and the more than 125,000 residents of Rustavi by keeping them informed about city services, new regulations, and steps to take to cope with coronavirus challenges without leaving their homes.",Pandemic/Epidemic,Emergency communications,production,mitigation,"Chatbot, Artificial Intelligence, Natural Language Processing",Pandemic/Epidemic,Asia,Western Asia,Georgia,"Rustavi Innovations Hub, Rustavi Municipality, EU4Business","UNDP, UNDP Georgia",Text Data,SDG 3,2020,https://eu4georgia.ge/c-bot-chatbot-with-ai-keeps-georgian-business-informed-during-pandemic/,https://eu4georgia.eu/wp-content/themes/yootheme/cache/Banner_-01-729de3fc.jpeg +13,AgroVision,"High-density cities face the challenge of food security given little areas suitable for growing food but urban farms also have the challenges such as the incursion of pest and disease in agriculture. The project (finalist of Hackathon) provides a solution of integrated farm health management tool that leverages machine learning and IoT to improve the yield and quality of crops from urban farms in high-density cities. The system collects the information on the plants health and its environment, which allows farmers to manage pests and diseases better.",Agriculture,Situational awareness/actionable information gathering,prototype,mitigation ,"Machine Learning, Internet of Things",Droughts,Asia,South-eastern Asia,Singapore,Microsoft Asia Pacific,"Singapore Global Center for Technology, Innovation and Sustainable Development",None,SDG 12,2020,https://sgtechcentre.undp.org/content/sgtechcentre/en/home/blogs/microsoft-azure-hackathon-with-undp-and-grab-press-release.html,https://sgtechcentre.undp.org/content/dam/gctisd/images/Microsoft%20PR%20Azure%20Photo.jpeg +14,Ecuador: Mitigating Deforestation through Sustainable Cattle Raising,"In 2017, a coalition of stakeholders including UNDP and the Ecuadorian Ministries of Environment and Agriculture launched the PROAmazonia initiative, an ambitious, five-year project that aims to transform the agriculture and forestry sectors in the Amazon region. Part of this ambition is to reduce CO2 emissions by mitigating deforestation in the Ecuadorian Amazon through the promotion of sustainable land-use that does not require cutting down additional forest for local agriculture. Our DPPD team members from GIZ Ecuador are working with the Ecuadorian Ministry of Environment and Water to implement its national bioeconomy strategy for the protection and sustainable use of biodiversity by developing socially, economically, and ecologically sustainable solutions. Agricultural practices are one of the main causes of deforestation in the Ecuadorian Amazon. 99% of deforested areas are transformed into agricultural fields, and 64.9% of these are used as grassland for livestock.development challenges they face.",Agriculture,Situational awareness/actionable information gathering,prototype,mitigation ,Remote Sensing,Droughts,Americas,South America,Ecuador,Ecuadorian Ministries of Environment,UNDP,Spatial Data,SDG 15,2017,https://medium.com/@acclabs/positive-deviance-positive-outliers-matter-a323f7f5b13e,https://miro.medium.com/max/1400/1*mA24nNw45r_aN1d2o0JRTg.png +15,Data Visualization for Household and Building Damage Assessment,"UNDP has developed a toolkit to support authorities in crisis-affected countries around the world, to assess residential and non-residential infrastructure and collect timely data to inform decisions. The toolkit will also inform prioritization for risk-informed rehabilitation and rebuilding.",Disaster Risk Management ,Damage and loss assessment,production,recovery,"Geographical Information Systems, Drones",Various,Global ,Global ,Global,"UNDP, UNDP Crisis Bureau",UNDP,Spatial Data,SDG 9,2017,https://www.undp.org/content/buildingdamageassessment/en/home.html,https://www1.undp.org/content/dam/building-damage-assessment/img/undp-bb-bda-pic23-2019.PNG +16,Drones for Social Good,"Climate change and its consequences are becoming more evident. Erosion, tsunami hazard, and rising sea levels threaten the Maldives. UNDP and the Government of Maldives used drones for creating risk maps which provide essential data required to inform emergency response plans in case of disasters. ",Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,response,Drones,Floods,Asia,Southern Asia,Maldives,"DJI (the leading drone company from China), Maldives National Disaster Management Centre, the Maldives National Defence Force","UNDP, UNDP Maldives",Spatial Data,"SDG 9, SDG 13, SDG 15, SDG 17",2017,https://stories.undp.org/drones-for-social-good,https://www.unicef.org/innovation/sites/unicef.org.innovation/files/styles/two_column/public/UN0265425_1.jpg?itok=8qmoy5kY +17,Multi Hazard EWS,"The report firstly mentioned theoretical tools to understand the legal and institutional framework needed for the early warning process. In the second part of the report, a catalog of practical solutions and five intervention areas are mentioned. Five intervention areas are: 1. Institutions, regulations, and capacity development, 2. Technological solutions, 3. Community outreach and community-based solutions, 4. Private sector engagement, 5. International Co-operation and Data-sharing. ","Disaster Risk Management , EWS",Disaster assessment/prediction and early warning systems,production,preparedness,"Geographical Information Systems, Data Collection, Data Analysis, Web mapping",Various,Global ,Global ,Global ,"UNDP, UNDP country offices, International organisations, Nongovernmental organisations, Governments, Civil Society Organisat","UNDP, UNDP Serbia",Spatial Data,SDG 13,2019,https://www.eurasia.undp.org/content/rbec/en/home/library/environment_energy/five-approaches-to-build-functional-early-warning-systems.html,https://climateadaptationplatform.com/wp-content/uploads/2021/04/climate-adaptation-early-warning-systems-UN.jpg +18,Data Visualization of COVID-19's Impact on Food Supply Chains,An explanation for Data visualization of COVID19 impact on food supply chains,"Disaster Risk Management , EWS",Disaster Relief logistic/resource allocation ,validation ,preparedness,"Data collection, Data Analysis",Pandemic/Epidemic,Africa,Eastern Africa,Zimbabwe,UNDP,"UNDP, UNDP Zimbabwe",Spatial Data,No Information,2021,https://www.youtube.com/watch?v=j93sng3fVaQ,https://yt3.ggpht.com/ytc/AMLnZu_9XrWkDUB4_CBK_ePWUOd9QQSbB5DyHuRghSXC=s88-c-k-c0x00ffffff-no-rj +19,UN Pilot In Mongolia Uses Blockchain To Help Farmers Deliver Sustainable Cashmere,"Grazing lands are rapidly degrading, threatening the viability of the entire cashmere industry. The quality of cashmere is decreasing in Mongolia, due in part to climate change. Blockchain technology is used to interact with herders and cooperatives to help sustainable supply chain tracking. ",Agriculture,Disaster Relief logistic/resource allocation ,production,mitigation,Blockchain,Various,Asia,Eastern Asia,Mongolia,Covergence.tech,UNDP,RFID (Radio-frequency identification),SDG 12,2019,https://www.forbes.com/sites/rogerhuang/2019/12/28/un-pilot-in-mongolia-uses-blockchain-to-help-farmers-deliver-sustainable-cashmere/?sh=3cd43e6217d9,https://imageio.forbes.com/specials-images/imageserve/5e075c2925ab5d0007cf6a62/Two-young-Mongolian-children-play-with-the-goats-that-provide-cashmere-/960x0.jpg?fit=bounds&format=jpg&width=960 +20,Red Cross Implements Crypto To Boost Disaster-Prone Communities,"The Red Cross societies of Norway, Denmark and Kenya launched a two-year effort to help solve this lack of hard cash by deploying blockchain-backed local currencies to smooth trade in communities and spur economic activity.",Humanitarian aid,Disaster Relief logistic/resource allocation ,production,response,Blockchain,Various,Africa,Eastern Africa,"Kenya, Ethiopia","Grassroots Economics,Red Cross societies of Norway, Denmark ",None,"Text Data, Numerical Data",SDG 2,2019,https://www.forbes.com/sites/darrynpollock/2019/11/28/red-cross-implements-crypto-to-boost-disaster-prone-communities/?sh=2d7696cb48e2,https://imageio.forbes.com/specials-images/imageserve/1163318612/Aid-organisations-inform-about-the-condition-of-their-equipment/960x0.jpg?fit=bounds&format=jpg&width=960 +21,Blockchain Records for Refugees,"World Bank estimates that 1/6 of the world's population cannot legally prove their identity. These are not only refugees but also large swaths of the poor. The only solution to the problem of lack of documentation is preventative: governments, educational institutions, companies, and other organizations worldwide must begin issuing official records in a format that is permanent, portable, easily recoverable, and individual-owned long before a catastrophe occurs. Governments, international organizations, NGOs, etc. should ensure that refugees from future disasters have reliable, portable documentation is to begin issuing official records to the blockchain.","Situational awareness, Improved organizational efficiency",Situational awareness/actionable information gathering,production,mitigation ,Blockchain,Various,"Asia, Africa","Western Asia, Middle Africa, Northern Africa","Syrian Arab Republic, Central African Republic, Sudan","World Bank's ID4D,",UNHCR,Text Data,SDG 16,2017,https://medium.com/learning-machine-blog/blockchain-records-for-refugees-bd27ad6e6da1,https://miro.medium.com/max/1400/1*0SiIZzXBGpWlUn9b2h81gQ.png +22,Forecasting asylum-related migration flows with machine learning and data at scale,Information is presented on an adaptive machine learning algorithm that broadly integrates administrative statistics and non-traditional data sources to effectively predict asylum-related migration flows. The project focus on asylum applications lodged in countries of the European Union (EU) by nationals of all countries of origin worldwide. The project aims is to increase the preparedness of EU Member States for sudden increases in asylum applications in order to process them quickly and fairly; while also foreseeing proper reception conditions in line with EU law.,Humanitarian aid,Disaster assessment/prediction and early warning systems,validation ,preparedness,"Machine Learning, Big Data",Various,Europe,"Eastern Europe, Southern Europe, Northern Europe, Western Europe",EU countries,"European Union Agency for Asylum (EUAA), the European Commission (Joint Research Centre) and University of Catania",None,Text Data,SDG 10,2022,https://reliefweb.int/report/world/forecasting-asylum-related-migration-flows-machine-learning-and-data-scale,https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41598-022-05241-8/MediaObjects/41598_2022_5241_Fig4_HTML.png +23,The application framework of big data technology in the COVID-19 epidemic emergency management,"COVID-19 spreaded globally, traditional emergency management measures faced many practical limitations. In China the application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. China-Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. The project demonstrated that the roles, governance networks and mechanisms used by the legislative branch, government agencies and social organizations of Hainan Province and verified the feasibility and value of the application framework of big data technology to support their collective response to the COVID-19 epidemic.",Health,Situational awareness/actionable information gathering,production,preparedness,"Big data, Internet of Things",Pandemic/Epidemic,Asia,Eastern Asia,China,The National Disaster Reduction Center of China (NDRCC),None,Spatial Data,SDG 3,2021,https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-12065-0,https://www.researchgate.net/publication/355914464/figure/fig1/AS:1086503904124933@1636054125269/Application-of-big-data-technology-in-COVID-19-epidemic-emergency-management-in-Hainan.png +24,The application framework of big data technology in the COVID-19 epidemic emergency management,"COVID-19 spreaded globally, traditional emergency management measures faced many practical limitations. In China the application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. China-Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. The project demonstrated that the roles, governance networks and mechanisms used by the legislative branch, government agencies and social organizations of Hainan Province and verified the feasibility and value of the application framework of big data technology to support their collective response to the COVID-19 epidemic.",Health,Situational awareness/actionable information gathering,production,recovery,"Big data, Internet of Things",Pandemic/Epidemic,Asia,Eastern Asia,China,The National Disaster Reduction Center of China (NDRCC),None,Spatial Data,SDG 3,2021,https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-12065-0,https://www.researchgate.net/publication/355914464/figure/fig1/AS:1086503904124933@1636054125269/Application-of-big-data-technology-in-COVID-19-epidemic-emergency-management-in-Hainan.png +25,The application framework of big data technology in the COVID-19 epidemic emergency management,"COVID-19 spreaded globally, traditional emergency management measures faced many practical limitations. In China the application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. China-Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. The project demonstrated that the roles, governance networks and mechanisms used by the legislative branch, government agencies and social organizations of Hainan Province and verified the feasibility and value of the application framework of big data technology to support their collective response to the COVID-19 epidemic.",Health,Situational awareness/actionable information gathering,production,response,"Big data, Internet of Things",Pandemic/Epidemic,Asia,Eastern Asia,China,The National Disaster Reduction Center of China (NDRCC),None,Spatial Data,SDG 3,2021,https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-12065-0,https://www.researchgate.net/publication/355914464/figure/fig1/AS:1086503904124933@1636054125269/Application-of-big-data-technology-in-COVID-19-epidemic-emergency-management-in-Hainan.png +26,The application framework of big data technology in the COVID-19 epidemic emergency management,"COVID-19 spreaded globally, traditional emergency management measures faced many practical limitations. In China the application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. China-Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. The project demonstrated that the roles, governance networks and mechanisms used by the legislative branch, government agencies and social organizations of Hainan Province and verified the feasibility and value of the application framework of big data technology to support their collective response to the COVID-19 epidemic.",Health,Situational awareness/actionable information gathering,production,mitigation,"Big data, Internet of Things",Pandemic/Epidemic,Asia,Eastern Asia,China,The National Disaster Reduction Center of China (NDRCC),None,Spatial Data,SDG 3,2021,https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-021-12065-0,https://www.researchgate.net/publication/355914464/figure/fig1/AS:1086503904124933@1636054125269/Application-of-big-data-technology-in-COVID-19-epidemic-emergency-management-in-Hainan.png +27,4W-Wizard: AI Is Magical Tool For Faster Disaster Relief,"This social-impact program ""4W-Wizard"" was designed to speed up disaster management efforts. The program instantly categorizes and classify huge datasets. Regardless of how NGOs and other relief teams in the field have formatted information about the help they're providing, the tool quickly converts unstructured data into structured data. It corrects typos, extracts details and consolidates many worksheets into one clean file. SAP and OCHA tested 4W Wizard in humanitarian missions across the Asia Pacific region, helping people in Nepal, Papua New Guinea, Vietnam, and Cambodia, as well as recent crises in the Philippines, Turkey, and South Sudan.",Humanitarian aid,Disaster Relief logistic/resource allocation ,production,recovery,"Machine learning, Artificial Intelligence",Various,Global,Global,Global,"Relief.iO, SAP",UN OCHA,Text Data,SDG 3,2018,https://medium.com/sap-innovation-spotlight/for-united-nations-ai-is-a-magical-tool-for-faster-disaster-relief-3b1cb505748d ,https://miro.medium.com/max/1400/1*PKFo6K2d4wW5qX3hj0e_8g.jpeg +28,Finding Water in the Driest Places,"The most sustainable groundwater is very deep. To locate it and then to drill and extract it is a major challenge. Since 2017, UNICEF has collaborated with the European Union Joint Research Centre (EU-JRC) to develop this new way of mapping groundwater using geospatial imagery and data. A data-driven approach is used to help find groundwater before drilling. The project has already been successfully piloted in Ethiopia and Madagascar. Drilling success rates increased from 50% to 92%. ",Clean water,Disaster Relief logistic/resource allocation ,production,mitigation ,"Web mapping, Geographical Information Systems, Remote sensing",Droughts,Africa,Eastern Africa,"Ethiopia, Madagascar",European Union Joint Research Centre (EU-JRC),UNICEF,Spatial Data,SDG 6,2021,https://www.unicef.org/innovation/stories/finding-water-driest-places ,https://www.unicef.org/innovation/sites/unicef.org.innovation/files/styles/hero_desktop/public/UN0469332.JPG?itok=kVidUCkh +29,Space-based Flood Monitoring to Support Disaster Risk Management,"Floods lead to the highest number of people affected compared to other disasters as they affect human activities and the economy. Sudan was affected due to large floods partly caused by torrential rainfall in the Ethiopian Highlands. In the case of the Sudanese flood event, a timely response is needed for stakeholders to assess the situation. High resolution monitoring helps to identify areas at risk and information on the people and cropland. Geospatial analysis was conducted based on the identified floods areas. ","Disaster Risk Management, EWS",Disaster detection,production,preparedness,"Web mapping, Geographical Information Systems, Remote sensing",Floods,Africa,Northern Africa,Sudan,Ministry of Agriculture and Natural Resources of Sudan,UNOOSA (The United Nations Office for Outer Space Affairs),Spatial Data,"SDG 1, SDG 2, SDG 13, SDG 15",2020,https://www.space4water.org/news/floods-sudan-space-based-flood-monitoring-support-disaster-risk-management ,https://www.space4water.org/s4w/web/sites/default/files/inline-images/MainImage_PleiadesbyCNES160820.jpg +30,Space-based Flood Monitoring to Support Disaster Risk Management,"Floods lead to the highest number of people affected compared to other disasters as they affect human activities and the economy. Sudan was affected due to large floods partly caused by torrential rainfall in the Ethiopian Highlands. In the case of the Sudanese flood event, a timely response is needed for stakeholders to assess the situation. High resolution monitoring helps to identify areas at risk and information on the people and cropland. Geospatial analysis was conducted based on the identified floods areas. ","Disaster Risk Management, EWS",Disaster detection,production,recovery,"Web mapping, Geographical Information Systems, Remote sensing",Floods,Africa,Northern Africa,Sudan,Ministry of Agriculture and Natural Resources of Sudan,UNOOSA (The United Nations Office for Outer Space Affairs),Spatial Data,"SDG 1, SDG 2, SDG 13, SDG 15",2020,https://www.space4water.org/news/floods-sudan-space-based-flood-monitoring-support-disaster-risk-management ,https://www.space4water.org/s4w/web/sites/default/files/inline-images/MainImage_PleiadesbyCNES160820.jpg +31,Space-based Flood Monitoring to Support Disaster Risk Management,"Floods lead to the highest number of people affected compared to other disasters as they affect human activities and the economy. Sudan was affected due to large floods partly caused by torrential rainfall in the Ethiopian Highlands. In the case of the Sudanese flood event, a timely response is needed for stakeholders to assess the situation. High resolution monitoring helps to identify areas at risk and information on the people and cropland. Geospatial analysis was conducted based on the identified floods areas. ","Disaster Risk Management, EWS",Disaster detection,production,response,"Web mapping, Geographical Information Systems, Remote sensing",Floods,Africa,Northern Africa,Sudan,Ministry of Agriculture and Natural Resources of Sudan,UNOOSA (The United Nations Office for Outer Space Affairs),Spatial Data,"SDG 1, SDG 2, SDG 13, SDG 15",2020,https://www.space4water.org/news/floods-sudan-space-based-flood-monitoring-support-disaster-risk-management ,https://www.space4water.org/s4w/web/sites/default/files/inline-images/MainImage_PleiadesbyCNES160820.jpg +32,Space-based Flood Monitoring to Support Disaster Risk Management,"Floods lead to the highest number of people affected compared to other disasters as they affect human activities and the economy. Sudan was affected due to large floods partly caused by torrential rainfall in the Ethiopian Highlands. In the case of the Sudanese flood event, a timely response is needed for stakeholders to assess the situation. High resolution monitoring helps to identify areas at risk and information on the people and cropland. Geospatial analysis was conducted based on the identified floods areas. ","Disaster Risk Management, EWS",Disaster detection,production,mitigation,"Web mapping, Geographical Information Systems, Remote sensing",Floods,Africa,Northern Africa,Sudan,Ministry of Agriculture and Natural Resources of Sudan,UNOOSA (The United Nations Office for Outer Space Affairs),Spatial Data,"SDG 1, SDG 2, SDG 13, SDG 15",2020,https://www.space4water.org/news/floods-sudan-space-based-flood-monitoring-support-disaster-risk-management ,https://www.space4water.org/s4w/web/sites/default/files/inline-images/MainImage_PleiadesbyCNES160820.jpg +33,SKAI Platform,"A lack of on-the-ground information at the start of a humanitarian crisis is a major obstacle to a quick, effective response. The WFP partnered with Google Research to set up the SKAI platform. Skai (formerly known as RUDA) uses Artificial Intelligence (AI) and satellites to help WFP reduce the amount of time needed to understand the impact of disasters. By using Artificial Intelligence (AI) to analyze images provided by satellites, WFP can respond to emergencies without the delays and logistics obstacles associated with a traditional response. Skai dramatically speeds up the process of determining what has happened, what to expect on the ground, and help define the kind of support that is required. ",Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,response,"Artificial Intelligence, Machine Learning, Geographical Information Systems",Various,Global,Global,Global,Google Research,WFP,Spatial Data,SDG 13,2021,https://wfpinnovation.medium.com/the-skai-isnt-the-limit-how-wfp-uses-satellite-imagery-and-machine-learning-in-emergencies-b5c866ace186 ,https://miro.medium.com/max/1400/0*nvO60Aq7ny2r1Gwu +34,Artificial Intelligence Weather Chatbot,The Chatbot directly interacts with users through the Facebook Messenger app giving weather related information. The potential of this tool is what lends itself to e-resilience - application of AI through simple messaging services to provide weather related information which can potentially save lives and reduces damages to property. ,Early Warning,Situational awareness/actionable information gathering,prototype,preparedness,Chatbot,Various,Asia,South-eastern Asia,Singapore,RobustTechHouse,None,Text Data,No Information,No Information,https://bit.ly/3sTk2ia,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/singapore-skyline-200679_1280.jpg +35,Artificial Intelligence Weather Chatbot,The Chatbot directly interacts with users through the Facebook Messenger app giving weather related information. The potential of this tool is what lends itself to e-resilience - application of AI through simple messaging services to provide weather related information which can potentially save lives and reduces damages to property. ,Early Warning,Situational awareness/actionable information gathering,prototype,recovery,Chatbot,Various,Asia,South-eastern Asia,Singapore,RobustTechHouse,None,Text Data,No Information,No Information,https://bit.ly/3sTk2ia,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/singapore-skyline-200679_1280.jpg +36,Artificial Intelligence Weather Chatbot,The Chatbot directly interacts with users through the Facebook Messenger app giving weather related information. The potential of this tool is what lends itself to e-resilience - application of AI through simple messaging services to provide weather related information which can potentially save lives and reduces damages to property. ,Early Warning,Situational awareness/actionable information gathering,prototype,response,Chatbot,Various,Asia,South-eastern Asia,Singapore,RobustTechHouse,None,Text Data,No Information,No Information,https://bit.ly/3sTk2ia,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/singapore-skyline-200679_1280.jpg +37,Artificial Intelligence Weather Chatbot,The Chatbot directly interacts with users through the Facebook Messenger app giving weather related information. The potential of this tool is what lends itself to e-resilience - application of AI through simple messaging services to provide weather related information which can potentially save lives and reduces damages to property. ,Early Warning,Situational awareness/actionable information gathering,prototype,mitigation,Chatbot,Various,Asia,South-eastern Asia,Singapore,RobustTechHouse,None,Text Data,No Information,No Information,https://bit.ly/3sTk2ia,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/singapore-skyline-200679_1280.jpg +38,PRISM,"When natural disasters strike, rescue services need to know where people are most at risk. The last population census in the former Yugoslav Republic of Macedonia was carried out in 2002, leaving a major gap in population data. This gap can create serious problems during emergencies. For example, during a winter storm in 2012, rescue helicopters were dispatched to remote villages only to discover that nobody was there. Having real-time tools in place could help capture the population's mobility and ensure that those most-at risk are reached on time. UNDP and the former Yugoslav Republic of Macedonia Crisis Management Center have recently completed integrated risk and hazard assessments in each of the 81 municipalities in the country. Using mobile data to complement all this work seemed the natural next step. The way people use mobile phones provides insights into patterns of behaviour on the ground that can be life-saving. The team set out to study whether mobile phone calls could serve as proxy indicators for people's mobility, as well as to understand how men and women use mobile phones differently (for clues into their diverse levels of vulnerability based on sex-disaggregated data).",EWS,Disaster Relief logistic/resource allocation ,production,response,Mobile App,Various,Asia,South-eastern Asia,Cambodia,"WFP, Cambodia's National Committee for Disaster Management","WFP, WFP Innovation Accelerator",Text Data,No Information,2018,https://medium.com/world-food-programme-insight/prism-using-data-to-save-lives-in-cambodia-9607ebde5e21,https://miro.medium.com/max/1400/1*tszoPbwOGexrjfwcWVMt4g.jpeg +39,PRISM,"When natural disasters strike, rescue services need to know where people are most at risk. The last population census in the former Yugoslav Republic of Macedonia was carried out in 2002, leaving a major gap in population data. This gap can create serious problems during emergencies. For example, during a winter storm in 2012, rescue helicopters were dispatched to remote villages only to discover that nobody was there. Having real-time tools in place could help capture the population's mobility and ensure that those most-at risk are reached on time. UNDP and the former Yugoslav Republic of Macedonia Crisis Management Center have recently completed integrated risk and hazard assessments in each of the 81 municipalities in the country. Using mobile data to complement all this work seemed the natural next step. The way people use mobile phones provides insights into patterns of behaviour on the ground that can be life-saving. The team set out to study whether mobile phone calls could serve as proxy indicators for people's mobility, as well as to understand how men and women use mobile phones differently (for clues into their diverse levels of vulnerability based on sex-disaggregated data).",EWS,Disaster Relief logistic/resource allocation ,production,recovery,Mobile App,Various,Asia,South-eastern Asia,Cambodia,"WFP, Cambodia's National Committee for Disaster Management","WFP, WFP Innovation Accelerator",Text Data,No Information,2018,https://medium.com/world-food-programme-insight/prism-using-data-to-save-lives-in-cambodia-9607ebde5e21,https://miro.medium.com/max/1400/1*tszoPbwOGexrjfwcWVMt4g.jpeg +40,Crisis Mapping,"Using the information from geotagged Twitter messages and other mappable content from hundreds of other online sources, volunteers created an interactive map (Ushahidi Platform) with the information on the damaged areas during Haiti earthquake",Situational Awareness,Damage and loss assessment,prototype,recovery,Geographical Information Systems,Various,Global,Global,Global,"U.S. Coast Guard, the American Red Cross, and the U.S. Marine Corps. ",None,Spatial Data,No Information,2010,https://www.dhs.gov/sites/default/files/publications/Social-Media-EM_0913-508_0.pdf,https://www.dhs.gov/sites/default/files/images/st/FRG/SAVER.jpg +41,Crisis Mapping,"Using the information from geotagged Twitter messages and other mappable content from hundreds of other online sources, volunteers created an interactive map (Ushahidi Platform) with the information on the damaged areas during Haiti earthquake",Situational Awareness,Damage and loss assessment,prototype,mitigation,Geographical Information Systems,Various,Global,Global,Global,"U.S. Coast Guard, the American Red Cross, and the U.S. Marine Corps. ",None,Spatial Data,No Information,2010,https://www.dhs.gov/sites/default/files/publications/Social-Media-EM_0913-508_0.pdf,https://www.dhs.gov/sites/default/files/images/st/FRG/SAVER.jpg +42,Cholera outbreaks predicted using climate data and AI,"Climate data taken from Earth orbiting satellites, combined with machine learning techniques, are helping to better predict outbreaks of cholera and potentially save lives.",Disease Prediction,Disaster assessment/prediction and early warning systems,production,preparedness,Geographical Information Systems,Pandemic/Epidemic,Asia,Southern Asia,India,ESA,None,Spatial Data,No Information,2020,"https://www.esa.int/Applications/Observing_the_Earth/Space_for_our_climate/Cholera_outbreaks_predicted_using_climate_data_and_AI#:~:text=A%20new%20study%20shows%20how,surface%20salinity%20for%20forecasting%20cholera.",https://www.esa.int/var/esa/storage/images/esa_multimedia/images/2020/12/medical_lab/22393483-1-eng-GB/Medical_lab_pillars.jpg +43,Cholera outbreaks predicted using climate data and AI,"Climate data taken from Earth orbiting satellites, combined with machine learning techniques, are helping to better predict outbreaks of cholera and potentially save lives.",Disease Prediction,Disaster assessment/prediction and early warning systems,production,response,Geographical Information Systems,Pandemic/Epidemic,Asia,Southern Asia,India,ESA,None,Spatial Data,No Information,2020,"https://www.esa.int/Applications/Observing_the_Earth/Space_for_our_climate/Cholera_outbreaks_predicted_using_climate_data_and_AI#:~:text=A%20new%20study%20shows%20how,surface%20salinity%20for%20forecasting%20cholera.",https://www.esa.int/var/esa/storage/images/esa_multimedia/images/2020/12/medical_lab/22393483-1-eng-GB/Medical_lab_pillars.jpg +44,I-react,"I-REACT is the result of a three-year European Project that developed the first European-wide platform to integrate emergency management data coming from multiple sources, including that provided by citizens through social media and crowdsourcing. This way, I-react produces information faster and allow citizens, civil protection services and policymakers to effectively prevent and/or react against disasters. I-REACT integrates big data with information for danger forecast services, crowdsourced information, UAVs and wearables, satellite data and historical record",Monitoring System,Emergency communications,production,preparedness,Mobile App,Various,Europe,"Eastern Europe, Southern Europe, Northern Europe, Western Europe",EU countries,"EU, Istituto Superiore Mario Boella (ISMB), Joint Research Centre, Scienceseed and others",UNESCO,"Spatial Data, Text Data",No Information,2019,https://cordis.europa.eu/article/id/247441-crowdsourcing-emergency-management-services,https://cordis.europa.eu/docs/results/images/2019-01/247441.jpg +45,I-react,"I-REACT is the result of a three-year European Project that developed the first European-wide platform to integrate emergency management data coming from multiple sources, including that provided by citizens through social media and crowdsourcing. This way, I-react produces information faster and allow citizens, civil protection services and policymakers to effectively prevent and/or react against disasters. I-REACT integrates big data with information for danger forecast services, crowdsourced information, UAVs and wearables, satellite data and historical record",Monitoring System,Emergency communications,production,recovery,Mobile App,Various,Europe,"Eastern Europe, Southern Europe, Northern Europe, Western Europe",EU countries,"EU, Istituto Superiore Mario Boella (ISMB), Joint Research Centre, Scienceseed and others",UNESCO,"Spatial Data, Text Data",No Information,2019,https://cordis.europa.eu/article/id/247441-crowdsourcing-emergency-management-services,https://cordis.europa.eu/docs/results/images/2019-01/247441.jpg +46,I-react,"I-REACT is the result of a three-year European Project that developed the first European-wide platform to integrate emergency management data coming from multiple sources, including that provided by citizens through social media and crowdsourcing. This way, I-react produces information faster and allow citizens, civil protection services and policymakers to effectively prevent and/or react against disasters. I-REACT integrates big data with information for danger forecast services, crowdsourced information, UAVs and wearables, satellite data and historical record",Monitoring System,Emergency communications,production,response,Mobile App,Various,Europe,"Eastern Europe, Southern Europe, Northern Europe, Western Europe",EU countries,"EU, Istituto Superiore Mario Boella (ISMB), Joint Research Centre, Scienceseed and others",UNESCO,"Spatial Data, Text Data",No Information,2019,https://cordis.europa.eu/article/id/247441-crowdsourcing-emergency-management-services,https://cordis.europa.eu/docs/results/images/2019-01/247441.jpg +47,Earthquake Scenarios Project,"Using GIS software the project produced a deterministic assessment of seismic risk. The model estimated the potential population losses, damages and other risks which allowed to produce acurate DRR plan.",Disaster Risk Management,Disaster assessment/prediction and early warning systems,production,mitigation ,Geographical Information Systems,Earthquakes,Asia,Western Asia,Armenia,"National Academy of Science, Ministry of Emergency and Georisk","UNDP, UNDP Armenia",Spatial Data,No Information,2019,https://www.eurasia.undp.org/content/rbec/en/home/library/environment_energy/five-approaches-to-build-functional-early-warning-systems.html,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1258783-UNDP%20Brochure%20Early%20Warning%20Systems.png?itok=WmUyWBX6 +48,Volcanoes & Earthquakes Application,The Volcanoes & Earthquakes smartphone application shows the latest earthquakes and active volcanoes on a map and as list.,Disaster Risk Management,Situational awareness/actionable information gathering,production,preparedness,Mobile App,Volcanos,Global,Global,Global,Volcano Discovery,None,Text Data,No Information,2022,https://drrgateway.net/e-resilience/tool/volcanoes-earthquakes-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/volcano-earthquake-application-discovery.jpg +49,Volcanoes & Earthquakes Application,The Volcanoes & Earthquakes smartphone application shows the latest earthquakes and active volcanoes on a map and as list.,Disaster Risk Management,Situational awareness/actionable information gathering,production,response,Mobile App,Volcanos,Global,Global,Global,Volcano Discovery,None,Text Data,No Information,2022,https://drrgateway.net/e-resilience/tool/volcanoes-earthquakes-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/volcano-earthquake-application-discovery.jpg +50,Beidou Navigation Satellite System,"The Beidou Navigation Satellite system is used to monitor natural disasters occurring in the Peoples Republic of China. In recent years, after natural disasters, such as forest fires, earthquakes and floods, communication networks were broken. This has a negative impact on communications and disaster recovery.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,"Data Collection, Geographical Information Systems",Various,Asia,Eastern Asia,China,China National Administration of GNSS and Applications,None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/beidou-navigation-satellite-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/beidou-navigation-satellite-system-e-resilience.jpg +51,Beidou Navigation Satellite System,"The Beidou Navigation Satellite system is used to monitor natural disasters occurring in the Peoples Republic of China. In recent years, after natural disasters, such as forest fires, earthquakes and floods, communication networks were broken. This has a negative impact on communications and disaster recovery.",Risk Reduction,Situational awareness/actionable information gathering,production,response,"Data Collection, Geographical Information Systems",Various,Asia,Eastern Asia,China,China National Administration of GNSS and Applications,None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/beidou-navigation-satellite-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/beidou-navigation-satellite-system-e-resilience.jpg +52,Nepal Government Geo-Portal,"Nepal is a landlocked country in South Asia that is highly vulnerable to earthquakes. In order to better understand seismic risk and build resilience, the World Bank and GFDRR, in collaboration with the Government of Nepal and the Open Data for Resilience Initiative have provided a data sharing portal that offers maps and map layers relevant to disaster risk management.",Disaster Risk Management,Situational awareness/actionable information gathering,production,preparedness,"Data Collection, Geographical Information Systems",Earthquakes,Global,Global,Global,"Government of Nepal, Open Data for Resilience Initia",None,Spatial Data,No Information,2015,https://drrgateway.net/e-resilience/tool/nepal-government-geo-portal,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/drought-map-nepal-e-resilience.jpg +53,Nepal Government Geo-Portal,"Nepal is a landlocked country in South Asia that is highly vulnerable to earthquakes. In order to better understand seismic risk and build resilience, the World Bank and GFDRR, in collaboration with the Government of Nepal and the Open Data for Resilience Initiative have provided a data sharing portal that offers maps and map layers relevant to disaster risk management.",Disaster Risk Management,Situational awareness/actionable information gathering,production,response,"Data Collection, Geographical Information Systems",Earthquakes,Global,Global,Global,"Government of Nepal, Open Data for Resilience Initia",None,Spatial Data,No Information,2015,https://drrgateway.net/e-resilience/tool/nepal-government-geo-portal,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/drought-map-nepal-e-resilience.jpg +54,The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI),The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI) aims to provide the Pacific Island Countries (PICs) with disaster risk modeling and assessment tools. It also aims to engage in a dialogue with the PICs on integrated financial solutions for the reduction of their financial vulnerability to natural disasters and to climate change. The initiative is part of the broader agenda on disaster risk management and climate change adaptation in the Pacific region.,Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Data Collection,Various,Global,Global,Global,The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI),None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/pacific-catastrophe-risk-assessment-and-financing-initiative,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/pcrafi-pacific-portal-e-resilience.jpg +55,The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI),The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI) aims to provide the Pacific Island Countries (PICs) with disaster risk modeling and assessment tools. It also aims to engage in a dialogue with the PICs on integrated financial solutions for the reduction of their financial vulnerability to natural disasters and to climate change. The initiative is part of the broader agenda on disaster risk management and climate change adaptation in the Pacific region.,Risk Reduction,Situational awareness/actionable information gathering,production,response,Data Collection,Various,Global,Global,Global,The Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI),None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/pacific-catastrophe-risk-assessment-and-financing-initiative,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/pcrafi-pacific-portal-e-resilience.jpg +56,InaSAFE Hazard Impact Scenario Software,"InaSAFE is free software that produces realistic natural hazard impact scenarios for better planning, preparedness and response activities. It provides a simple but rigorous way to combine data from scientists, local governments and communities to provide insights into the likely impacts of future disaster events.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Geographical Information Systems,Various,Asia,South-eastern Asia,Indonesia,"Indonesian Government-BNPB, the Australian Government, the World Bank-GFDRR and independent contributors",None,Spatial Data,No Information,2018,https://drrgateway.net/e-resilience/tool/inasafe-hazard-impact-scenario-software,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/inasafe-screen-image-jpg.jpg +57,InaSAFE Hazard Impact Scenario Software,"InaSAFE is free software that produces realistic natural hazard impact scenarios for better planning, preparedness and response activities. It provides a simple but rigorous way to combine data from scientists, local governments and communities to provide insights into the likely impacts of future disaster events.",Risk Reduction,Situational awareness/actionable information gathering,production,recovery,Geographical Information Systems,Various,Asia,South-eastern Asia,Indonesia,"Indonesian Government-BNPB, the Australian Government, the World Bank-GFDRR and independent contributors",None,Spatial Data,No Information,2018,https://drrgateway.net/e-resilience/tool/inasafe-hazard-impact-scenario-software,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/inasafe-screen-image-jpg.jpg +58,InaSAFE Hazard Impact Scenario Software,"InaSAFE is free software that produces realistic natural hazard impact scenarios for better planning, preparedness and response activities. It provides a simple but rigorous way to combine data from scientists, local governments and communities to provide insights into the likely impacts of future disaster events.",Risk Reduction,Situational awareness/actionable information gathering,production,response,Geographical Information Systems,Various,Asia,South-eastern Asia,Indonesia,"Indonesian Government-BNPB, the Australian Government, the World Bank-GFDRR and independent contributors",None,Spatial Data,No Information,2018,https://drrgateway.net/e-resilience/tool/inasafe-hazard-impact-scenario-software,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/inasafe-screen-image-jpg.jpg +59,Pakistan Disaster Info Portal,"Pakistan Disaster Info is a nationally owned, open source data platform that aims to enable the mandated agencies to share their geospatial datasets and maps on hazards and exposure. In order to ensure that risk information is widely accessible to all decision makers, this platform will also host newly developed datasets, hazard and risk information.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Data Collection,Various,Asia,Southern Asia,Pakistan,"Global Facility for Disaster Reduction and recovery (GFDRR), World Bank, Department for International Development (DFID)",None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/pakistan-disaster-info-portal,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/pakistan-gfdrr-e-resilience-platform-disaster-info.jpg +60,Pakistan Disaster Info Portal,"Pakistan Disaster Info is a nationally owned, open source data platform that aims to enable the mandated agencies to share their geospatial datasets and maps on hazards and exposure. In order to ensure that risk information is widely accessible to all decision makers, this platform will also host newly developed datasets, hazard and risk information.",Risk Reduction,Situational awareness/actionable information gathering,production,response,Data Collection,Various,Asia,Southern Asia,Pakistan,"Global Facility for Disaster Reduction and recovery (GFDRR), World Bank, Department for International Development (DFID)",None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/pakistan-disaster-info-portal,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/pakistan-gfdrr-e-resilience-platform-disaster-info.jpg +61,Help Kids Cope Application,Help Kids Cope is a smartphone application designed to assist parents in talking to their children about different disasters they may experience or have already experienced.,Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Mobile App,Various,Global,Global,Global,"Ozark Center, National Child Traumatic Stress Network",None,Text Data,No Information,2016,https://drrgateway.net/e-resilience/tool/help-kids-cope-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/iphone-app-kids-cope-e-resilience.jpg +62,Help Kids Cope Application,Help Kids Cope is a smartphone application designed to assist parents in talking to their children about different disasters they may experience or have already experienced.,Risk Reduction,Situational awareness/actionable information gathering,production,response,Mobile App,Various,Global,Global,Global,"Ozark Center, National Child Traumatic Stress Network",None,Text Data,No Information,2016,https://drrgateway.net/e-resilience/tool/help-kids-cope-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/iphone-app-kids-cope-e-resilience.jpg +63,GeoDASH,"GeoDASH is geo-spatial data storing and sharing initiative by Bangladesh Government. It is a web based platform for compiling, updating and sharing geospatial database which will allow facilitating the use, management, exchange and quality control of geospatial data sets in a collaborative manner.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,"Geographical Information Systems, Web Mapping",Various,Asia,Southern Asia,Bangladesh,The Government of Bangladesh,None,Spatial Data,No Information,2016,https://drrgateway.net/e-resilience/tool/geodash-geospatial-data-platform-bangladesh,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geodash-e-resilience-bangladesh-platform.jpg +64,GeoDASH,"GeoDASH is geo-spatial data storing and sharing initiative by Bangladesh Government. It is a web based platform for compiling, updating and sharing geospatial database which will allow facilitating the use, management, exchange and quality control of geospatial data sets in a collaborative manner.",Risk Reduction,Situational awareness/actionable information gathering,production,response,"Geographical Information Systems, Web Mapping",Various,Asia,Southern Asia,Bangladesh,The Government of Bangladesh,None,Spatial Data,No Information,2016,https://drrgateway.net/e-resilience/tool/geodash-geospatial-data-platform-bangladesh,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geodash-e-resilience-bangladesh-platform.jpg +65,GeoNet New Zealand Earthquake Application,"GeoNet Quake is a smartphone application available on Android and iOS operating systems that provides information and alerts with regard to earthquake hazard in New Zealand. The application is free of charge and notifications can be set based on location and intensity, magnitude and depth.",Risk Reduction,Disaster assessment/prediction and early warning systems,production,preparedness,Mobile App,Earthquakes,Oceania,Australia and New Zealand,New Zealand,"Ministry of Civil Defence and Emergency Management, New Zealand",None,Spatial Data,No Information,2021,https://drrgateway.net/e-resilience/tool/geonet-new-zealand-earthquake-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geonet-earthquake-application-e-resilience.jpg +66,GeoNet New Zealand Earthquake Application,"GeoNet Quake is a smartphone application available on Android and iOS operating systems that provides information and alerts with regard to earthquake hazard in New Zealand. The application is free of charge and notifications can be set based on location and intensity, magnitude and depth.",Risk Reduction,Disaster assessment/prediction and early warning systems,production,response,Mobile App,Earthquakes,Oceania,Australia and New Zealand,New Zealand,"Ministry of Civil Defence and Emergency Management, New Zealand",None,Spatial Data,No Information,2021,https://drrgateway.net/e-resilience/tool/geonet-new-zealand-earthquake-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geonet-earthquake-application-e-resilience.jpg +67,GeoNet New Zealand Tsunami Warning System,The Ministry of Civil Defence and Emergency Management of New Zealand (MCDEM) uses seismic sensors able to characterise potential tsunami-generating earthquakes occurring off the country's coast. It also operates or shares tsunami gauges across the greater New Zealand region to observe any tsunamis that may have been generated.,Risk Reduction,Disaster assessment/prediction and early warning systems,production,preparedness,Mobile App,Tsunamis,Oceania,Australia and New Zealand,New Zealand,"Ministry of Civil Defence and Emergency Management, New Zealand",None,Spatial Data,No Information,2021,https://drrgateway.net/e-resilience/tool/geonet-new-zealand-tsunami-warning-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geonet-earthquake-application-e-resilience.jpg +68,GeoNet New Zealand Tsunami Warning System,The Ministry of Civil Defence and Emergency Management of New Zealand (MCDEM) uses seismic sensors able to characterise potential tsunami-generating earthquakes occurring off the country's coast. It also operates or shares tsunami gauges across the greater New Zealand region to observe any tsunamis that may have been generated.,Risk Reduction,Disaster assessment/prediction and early warning systems,production,response,Mobile App,Tsunamis,Oceania,Australia and New Zealand,New Zealand,"Ministry of Civil Defence and Emergency Management, New Zealand",None,Spatial Data,No Information,2021,https://drrgateway.net/e-resilience/tool/geonet-new-zealand-tsunami-warning-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geonet-earthquake-application-e-resilience.jpg +69,Global Earthquake Model & OpenQuake Platform,The Global Earthquake Model (GEM) Foundation is a public-private partnership that drives a global collaborative effort in which science is applied to develop high-quality resources for transparent assessment of earthquake risk and to facilitate their application for risk management around the globe.,Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,"Web mapping, Geographical Information Systems",Earthquakes,Global,Global,Global,Global Earthquake Model Foundation,None,Spatial Data,No Information,2019,https://drrgateway.net/e-resilience/tool/global-earthquake-model-openquake-platform,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/openquake-e-resilience-platform.jpg +70,Global Earthquake Model & OpenQuake Platform,The Global Earthquake Model (GEM) Foundation is a public-private partnership that drives a global collaborative effort in which science is applied to develop high-quality resources for transparent assessment of earthquake risk and to facilitate their application for risk management around the globe.,Risk Reduction,Situational awareness/actionable information gathering,production,response,"Web mapping, Geographical Information Systems",Earthquakes,Global,Global,Global,Global Earthquake Model Foundation,None,Spatial Data,No Information,2019,https://drrgateway.net/e-resilience/tool/global-earthquake-model-openquake-platform,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/openquake-e-resilience-platform.jpg +71,EWBS Emergency Warning Broadcast System,The Emergency Warning Broadcast System (EWBS) incorporates new technology into early warning systems alongside traditional methods of communication. EWBS is a remote activation system for Radio & TV that transmits alert/warning information to viewers and listener about a relevant disaster.,Risk Reduction,Emergency communications,production,preparedness,Geographical Information Systems,Various,Asia,South-eastern Asia,Philippines,"National Telecommunications Commission (NTC), Philippines",None,None,No Information,2008,https://drrgateway.net/e-resilience/tool/ewbs-emergency-warning-broadcast-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/radio-1475054_1280.jpg +72,EWBS Emergency Warning Broadcast System,The Emergency Warning Broadcast System (EWBS) incorporates new technology into early warning systems alongside traditional methods of communication. EWBS is a remote activation system for Radio & TV that transmits alert/warning information to viewers and listener about a relevant disaster.,Risk Reduction,Emergency communications,production,response,Geographical Information Systems,Various,Asia,South-eastern Asia,Philippines,"National Telecommunications Commission (NTC), Philippines",None,None,No Information,2008,https://drrgateway.net/e-resilience/tool/ewbs-emergency-warning-broadcast-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/radio-1475054_1280.jpg +73,MyShake Earthquake Application,MyShake is a free app for Android smartphones that has the ability to recognize earthquake shaking using the sensors (such as the accelerometer) in every smartphone. The app runs 'silently' in the background of a phone using very little power.,Risk Reduction,Disaster assessment/prediction and early warning systems,production,response,Mobile App,Earthquakes,Global,Global,Global,Berkeley Seismology Lab,None,None,No Information,2021,https://drrgateway.net/e-resilience/tool/myshake-earthquake-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-03/myshake-image.jpg +74,Bhutan Forest Fire Detection and Monitoring System,"For Bhutan, there is a clear need for reliable and time-effective information on forest fires. To this regard, satellite imagery has found to be useful in fire detection and monitoring, and burnt area assessment on near real-time basis. To this regard, the International Centre for Integrated Mountain Development (ICIMOD) has developed a forest fire detection and monitoring system for Bhutan in close collaboration with the Department of Forests of Bhutan.",Disaster Risk Management,Damage and loss assessment,production,recovery,Geographical Information Systems,Wildfires,Asia,Southern Asia,Bhutan,International Centre for Integrated Mountain Development (ICIMOD),None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/bhutan-forest-fire-detection-and-monitoring-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/bhutan-forest-fire-dection-monitoring-system.jpg +75,South Asia Drought Monitoring System,"The South Asia Drought Monitoring System (SADMS) was established in 2014 and provides weekly maps that reflects drought conditions in South Asia. The system uses numerous drought indices, including the Integrated Drought severity Index and Soil Moisture Index, to monitor and assess drought conditions. The system and its outcomes are imperative to decision-making process.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Geographical Information Systems,Droughts,Asia,Southern Asia,"Bangladesh, India, Nepal, Pakistan, Sri Lanka","International Water Management Institute (IWMI), Sri Lanka",None,Spatial Data,No Information,2014,https://drrgateway.net/e-resilience/tool/south-asia-drought-monitoring-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/south-asia-drought-monitoring-system-e-resilience.jpg +76,Philippines Nationwide Operational Assessment of Hazards (NOAH),"The University of the Philippines Nationwide Operational Assessment of Hazards (UP-NOAH) is a multidisciplinary research center housed in the UP National Institute of Geological Sciences with the goal of helping reduce the impacts of hazards. It seeks to assist the country in disaster risk reduction and management, climate change adaptation and mitigation efforts and related activities through research, development and extension services.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Geographical Information Systems,Various,Asia,South-eastern Asia,Philippines,University of the Philippines,None,Spatial Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/philippines-nationwide-operational-assessment-hazards-noah,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/noah-philippines-e-resilience.jpg +77,Arko Philippines Typhoon Application,"The Philippines is hit by several typhoons a year. Most of the time, these cause major flooding that can be a danger to people's life and livelihood. Against this backdrop, the smartphone application Arko aims to address the need of Filipino citizens for more information during times of major rains, typhoons and floods. By accessing the extensive databases of Project NOAH and DOST, Arko enables a user up-to-the-minute updates on rainfall and other weather conditions in close proximity or chosen location.",Risk Reduction,Emergency communications,production,preparedness,Mobile App,Various,Asia,South-eastern Asia,Philippines,"Pointwest Technologies Corporation, NOAH",None,Spatial Data,No Information,2017,https://drrgateway.net/e-resilience/tool/arko-philippines-typhoon-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/arko-application-e-resilience-philippines.jpg +78,Arko Philippines Typhoon Application,"The Philippines is hit by several typhoons a year. Most of the time, these cause major flooding that can be a danger to people's life and livelihood. Against this backdrop, the smartphone application Arko aims to address the need of Filipino citizens for more information during times of major rains, typhoons and floods. By accessing the extensive databases of Project NOAH and DOST, Arko enables a user up-to-the-minute updates on rainfall and other weather conditions in close proximity or chosen location.",Risk Reduction,Emergency communications,production,response,Mobile App,Various,Asia,South-eastern Asia,Philippines,"Pointwest Technologies Corporation, NOAH",None,Spatial Data,No Information,2017,https://drrgateway.net/e-resilience/tool/arko-philippines-typhoon-application,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/arko-application-e-resilience-philippines.jpg +79,Monster Guard Kids Mobile Application,"Monster Guard is a mobile application created by the American Red Cross that is designed specifically for kids with the aim of preparing them for disasters. Follow Maya, Chad, Olivia and all the monsters as they teach kids (aged 7-11) about how to prepare for real-life emergencies-at home plus other environments-in a fun and engaging game.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Mobile App,Various,Americas,Northern America,United States of America,American Red Cross,None,None,No Information,2019,https://www.redcross.org/get-help/how-to-prepare-for-emergencies/teaching-kids-about-emergency-preparedness.html/?subcode=monsterguard-retirement-lightbox,https://www.justserve.org/api/images/1df2edf8-2de1-4e61-851d-fc93dce8a2df.png +80,Mobile4D Disaster Alert System,"In case of natural disasters such as floods and extreme weather, a fast and secure flow of information is essential for citizens to be able to cope with the situation. Mobile4D is a disaster information and alerting system based on smartphone technology to allow both for timely notification of affected stakeholders and easy and barrier-free crowdsourcing of disaster information on the local level in Lao PDR.",Risk Reduction,Disaster Risk Management,production,preparedness,"Mobile App, Crowdsourcing, Artificial Intelligence",Various,Asia,South-eastern Asia,Lao People's Democratic Republic,"Capacity Lab, University of Bremen",None,None,No Information,No Information,https://drrgateway.net/e-resilience/tool/mobile4d-disaster-alert-system-lao-pdr ,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/mobile4d-application-lao-pdr_0.jpg +81,Terai Cross-Border Flood Early Warning System,"Terai is a low-lying region in Northwestern India and Southern Nepal. For years, the area has been affected by recurring floods, resulting in loss of lives. Christian Aid, with its local partner Poorvanchal Gramin Vikas Sansthan (PGVS), initiated a pilot flood early warning system in the Terai region.",Risk Reduction,Disaster assessment/prediction and early warning systems,prototype,response,"Artificial Intelligence, Remote Sensing",Floods,Asia,Southern Asia,"India, Nepal",Christian Aid,None,None,No Information,2017,https://drrgateway.net/e-resilience/tool/terai-cross-border-flood-early-warning-system,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/high-water-123200_1280%281%29.jpg +82,Firetide Wireless Mesh Network Flood Monitoring,"Firetide, Inc., a provider of high-performance wireless infrastructure mesh networks, installed the world's first mesh network capable of delivering live high-definition (HD) wireless video feeds of river water levels and telemetry data for real-time flood forecasting and historical data collection in Thailand.",Disaster Risk Management,Situational awareness/actionable information gathering,production,preparedness,"Artificial Intelligence, Remote Sensing",Floods,Asia,South-eastern Asia,Thailand,UNICOM,None,Numerical Data,No Information,2014,https://www.firetide.com/blog/firetide-wireless-mesh-network-helps-thailand-forecast-floods/,https://www.firetide.com/files/6014/3990/2795/2014-10-20_Flood.jpg +83,Firetide Wireless Mesh Network Flood Monitoring,"Firetide, Inc., a provider of high-performance wireless infrastructure mesh networks, installed the world's first mesh network capable of delivering live high-definition (HD) wireless video feeds of river water levels and telemetry data for real-time flood forecasting and historical data collection in Thailand.",Disaster Risk Management,Situational awareness/actionable information gathering,production,response,"Artificial Intelligence, Remote Sensing",Floods,Asia,South-eastern Asia,Thailand,UNICOM,None,Numerical Data,No Information,2014,https://www.firetide.com/blog/firetide-wireless-mesh-network-helps-thailand-forecast-floods/,https://www.firetide.com/files/6014/3990/2795/2014-10-20_Flood.jpg +84,Guidelines for Establishing Disaster Loss Databases,"This report documents the experiences of the UNDP Regional Programme on Capacity Building for Sustainable recovery and Risk Reduction in implementing disaster loss databases using the DesInventar methodology. The DesInventar is based on a relational database structure and a disciplined expert assisted structure for data collection and classification that permits the homogeneous capture, analysis and graphic representation of information on disaster occurrences and losses.",Disaster Risk Management,Damage and loss assessment,production,recovery,"Data Collection, Data Analysis",Various,Global,Global,Global,"UNDP, UNDRR","UNDP, UNDP Regional Centre in Bangkok",Spatial Data,No Information,2015,https://www.asia-pacific.undp.org/content/rbap/en/home/library/climate-and-disaster-resilience/guidelines-n-lessons-disaster-loss-database.html,https://drrgateway.net/sites/default/files/styles/medium/public/e-resilience-toolkit-2017-06/guidelines-undp-disaster-loss-databases.jpg?itok=gxztq5Kt +85,Sai Fah Flood Game Application,"Sai Fah: The Flood Fighter is the first mobile application developed by UNESCO Bangkok and Opendream, was built to raise awareness around flood safety issues following the 2011 deluge in Thailand. The app challenges players of all ages, but particularly children, to learn how to protect themselves and those around them from floods. Players learn flood safety lessons as they encounter flood hazards, from live electrical current to dangerous wildlife.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Mobile App,Floods,Asia,South-eastern Asia,Thailand,Opendream,"UNESCO, UNESCO Bangkok",None,No Information,2015,https://drrgateway.net/e-resilience/tool/sai-fah-flood-game-application ,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-06/saifah-flood-game-application.jpg +86,Google Person Finder Platform,Google Person Finder is a web application that allows individuals to post and search for the status of relatives or friends affected by a disaster.,Disaster Risk Management ,Seach and rescue,production,response,Remote sensing,Various,Global,Global,Global,Google,None,Mobile Network Data,No Information,2005,https://support.google.com/personfinder/?hl=en,https://upload.wikimedia.org/wikipedia/commons/thumb/2/2f/Google_2015_logo.svg/1200px-Google_2015_logo.svg.png +87,App Tanah,"Tanah: Earthquake and Tsunami Fighter is a fun action packed game (mobile application) that makes learning about disaster risk reduction actions interesting and engaging for people of all ages, but particularly children. With more than 20 exciting and challenging stages, Tanah: The Tsunami and Earthquake Fighter, has been developed to engage users to learn how to protect themselves from earthquakes and tsunamis, providing key survival lessons for all phases of disaster preparedness, response and recovery.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Mobile App,Tsunamis,Global,Global,Global,"Red Cross/Red Crescent Global Disaster preparedness Center (GDPC), Opendream ","UNESCO, UNESCO Bangkok",None,No Information,2016,https://southeastasiaglobe.com/new-unesco-game-app-tanah-the-tsunami-earthquake-fighter-teaches-children-survival-skills/ ,"https://sp-ao.shortpixel.ai/client/to_auto,q_glossy,ret_img,w_300/https://southeastasiaglobe.com/wp-content/uploads/2016/01/1024x1024sr-300x300.jpg" +88,Audio-Processing-Based Human Detection at Disaster Sites With Unmanned Aerial Vehicle,"The use of robots to search for people is expected to become an auxiliary tool for saving lives during a disaster. In particular, because UAVs can collect information from the air, there has been much research into human search using UAVs equipped with cameras. However, the disadvantage of cameras is that they struggle to detect people who are hidden in shadows. To solve this problem, we mounted an array microphone on a UAV and to detect the human voice as a means of finding people that cameras cannot. Also a search method is proposed that combines voice and camera human detection to compensate for their respective shortcomings. The rate and accuracy of human detection by the proposed method are assessed experimentally.",Disaster Risk Management ,Seach and rescue,prototype,response,Drones,Various,Global,Global,Global,None,None,Spatial Data,No Information,2020,https://ieeexplore.ieee.org/document/9104665,https://ieeexplore.ieee.org/ielx7/6287639/8948470/9104665/graphical_abstract/access-gagraphic-2998776.jpg +89,Deep-ocean Assessment and Reporting of Tsunamis (DART) Description ,"DART is composed of real-time tsunami monitoring systems that are positioned at strategic locations (including Australia, Guam, India, Russian Federation and Thailand) throughout the ocean and play a critical role in tsunami forecasting. ",Risk Reduction,Disaster assessment/prediction and early warning systems,production,preparedness,Geographical Information Systems ,Hurricanes/Typhoons/Cyclones,Global ,Global ,Global ,United States National Oceanic and Atmospheric Administration (NOAA) ,None,Spatial Data,No Information,2021,https://www.ndbc.noaa.gov/dart/dart.shtml ,https://www.ndbc.noaa.gov/dart/dart_mooring.jpg +90,Deep-ocean Assessment and Reporting of Tsunamis (DART) Description ,"DART is composed of real-time tsunami monitoring systems that are positioned at strategic locations (including Australia, Guam, India, Russian Federation and Thailand) throughout the ocean and play a critical role in tsunami forecasting. ",Risk Reduction,Disaster assessment/prediction and early warning systems,production,response,Geographical Information Systems ,Hurricanes/Typhoons/Cyclones,Global ,Global ,Global ,United States National Oceanic and Atmospheric Administration (NOAA) ,None,Spatial Data,No Information,2021,https://www.ndbc.noaa.gov/dart/dart.shtml ,https://www.ndbc.noaa.gov/dart/dart_mooring.jpg +91,Robotics for Good,"ITU have launched a new track on AI for Good that features robots using AI to help advance the SDGs in areas such as disaster management, agriculture, underwater, and social robots. This track features amazing use cases and is one of the most popular tracks of the year introducing AI for Good to an even wider and younger audience.",Disaster Risk Management ,Emergency communications,validation ,preparedness,"Artificial Intelligence, Remote sensing",Various,Global ,Global ,Global ,ITU,UNECE,None,"SDG 9, SDG 11, SDG 17",2021,https://aiforgood.itu.int/meet-the-future-robots-for-good/,https://s41721.pcdn.co/wp-content/uploads/2021/12/1-1130x650.jpg +92,Robotics for Good,"ITU have launched a new track on AI for Good that features robots using AI to help advance the SDGs in areas such as disaster management, agriculture, underwater, and social robots. This track features amazing use cases and is one of the most popular tracks of the year introducing AI for Good to an even wider and younger audience.",Disaster Risk Management ,Emergency communications,validation ,response,"Artificial Intelligence, Remote sensing",Various,Global ,Global ,Global ,ITU,UNECE,None,"SDG 9, SDG 11, SDG 17",2021,https://aiforgood.itu.int/meet-the-future-robots-for-good/,https://s41721.pcdn.co/wp-content/uploads/2021/12/1-1130x650.jpg +93,Robotics for Good,"ITU have launched a new track on AI for Good that features robots using AI to help advance the SDGs in areas such as disaster management, agriculture, underwater, and social robots. This track features amazing use cases and is one of the most popular tracks of the year introducing AI for Good to an even wider and younger audience.",Disaster Risk Management ,Emergency communications,validation ,recovery,"Artificial Intelligence, Remote sensing",Various,Global ,Global ,Global ,ITU,UNECE,None,"SDG 9, SDG 11, SDG 17",2021,https://aiforgood.itu.int/meet-the-future-robots-for-good/,https://s41721.pcdn.co/wp-content/uploads/2021/12/1-1130x650.jpg +94,AI-powered decision making for disaster recovery,"Artificial Intelligence can step in to coordinate disaster recovery operations and provide accurate geographic information to save lives, minimize property damage and enable responders to be quickly deployed in disaster affected regions.",Disaster Risk Management ,Seach and rescue,validation ,recovery,Artificial Intelligence,Various,Global ,Global ,Global ,ITU,None,None,No Information,2021,https://aiforgood.itu.int/event/ai-powered-decision-making-for-disaster-recovery/,https://s41721.pcdn.co/wp-content/uploads/2021/05/1920x1080-AIPoweredDecisionMakingforDisasterRecovery-3-1130x650.png +95,Using AI to better understand natural hazards and disasters,"As the realities of climate change take hold across the planet, the risks of natural hazards and disasters are becoming ever more familiar. Meteorologists, aiming to protect increasingly populous countries and communities, are tapping into artificial intelligence (AI) to get them the edge in early detection and disaster relief.",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,validation ,preparedness,Artificial Intelligence,Various,Global ,Global ,Global ,ITU,None,None,"SDG 11, SDG 13, SDG 15",No Information,https://aiforgood.itu.int/using-ai-to-better-understand-natural-hazards-and-disasters/,https://s41721.pcdn.co/wp-content/uploads/2021/08/Using-AI-to-better-understand-natural-hazards-and-disasters.jpg +96,Using AI to better understand natural hazards and disasters,"As the realities of climate change take hold across the planet, the risks of natural hazards and disasters are becoming ever more familiar. Meteorologists, aiming to protect increasingly populous countries and communities, are tapping into artificial intelligence (AI) to get them the edge in early detection and disaster relief.",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,validation ,mitigation,Artificial Intelligence,Various,Global ,Global ,Global ,ITU,None,None,"SDG 11, SDG 13, SDG 15",No Information,https://aiforgood.itu.int/using-ai-to-better-understand-natural-hazards-and-disasters/,https://s41721.pcdn.co/wp-content/uploads/2021/08/Using-AI-to-better-understand-natural-hazards-and-disasters.jpg +97,Using AI to better understand natural hazards and disasters,"As the realities of climate change take hold across the planet, the risks of natural hazards and disasters are becoming ever more familiar. Meteorologists, aiming to protect increasingly populous countries and communities, are tapping into artificial intelligence (AI) to get them the edge in early detection and disaster relief.",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,validation ,response,Artificial Intelligence,Various,Global ,Global ,Global ,ITU,None,None,"SDG 11, SDG 13, SDG 15",No Information,https://aiforgood.itu.int/using-ai-to-better-understand-natural-hazards-and-disasters/,https://s41721.pcdn.co/wp-content/uploads/2021/08/Using-AI-to-better-understand-natural-hazards-and-disasters.jpg +98,Using AI to better understand natural hazards and disasters,"As the realities of climate change take hold across the planet, the risks of natural hazards and disasters are becoming ever more familiar. Meteorologists, aiming to protect increasingly populous countries and communities, are tapping into artificial intelligence (AI) to get them the edge in early detection and disaster relief.",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,validation ,recovery,Artificial Intelligence,Various,Global ,Global ,Global ,ITU,None,None,"SDG 11, SDG 13, SDG 15",No Information,https://aiforgood.itu.int/using-ai-to-better-understand-natural-hazards-and-disasters/,https://s41721.pcdn.co/wp-content/uploads/2021/08/Using-AI-to-better-understand-natural-hazards-and-disasters.jpg +99,Drones for disaster damage assessment,"Cyclone Pam struck the South Pacific archipelago nation of Vanuatu on 13-14 March 2015. It was one of the worst disasters to hit Vanuatu, destroying thousands of buildings and leaving around 75 000 people homeless. Relief efforts were quickly organized, with a strong need for assessment of the areas affected. Drones were felt to be an ideal solution for rapid and granular evaluation of the situation, particularly since cloud cover obscured satellite images",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,recovery,Drones,Hurricanes/Typhoons/Cyclones,Oceania,Melanesia,Vanuatu,"Humanitarian UAV Network (UAViators), The Civil Aviation Authority of Vanuatu, World Bank, Government of Vanuatu",None,Spatial Data,No Information,2015,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +100,Drones for disaster damage assessment,"Cyclone Pam struck the South Pacific archipelago nation of Vanuatu on 13-14 March 2015. It was one of the worst disasters to hit Vanuatu, destroying thousands of buildings and leaving around 75 000 people homeless. Relief efforts were quickly organized, with a strong need for assessment of the areas affected. Drones were felt to be an ideal solution for rapid and granular evaluation of the situation, particularly since cloud cover obscured satellite images",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,mitigation,Drones,Hurricanes/Typhoons/Cyclones,Oceania,Melanesia,Vanuatu,"Humanitarian UAV Network (UAViators), The Civil Aviation Authority of Vanuatu, World Bank, Government of Vanuatu",None,Spatial Data,No Information,2015,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +101,Twitter during the Chennai flood,"Monsoons regularly affect Southern India during the months of October to December. However, in 2015 the amount of rainfall was 90 per cent above normal, attributed to the El Nio effect. It was the worst rainfall in 100 years, causing severe flooding, which was magnified as a result of sprawling urban development and inadequate drainage systems. It was estimated that more than 500 people died and 1.8 million people were displaced during the several weeks of flooding. Although emergency telephone numbers were established, they were overloaded, making it difficult to get through, making social media such as Facebook and Twitter a popular method for communication for those with Internet access.",Risk Reduction,Emergency communications,production,response,Social Media,Floods,Asia,Southern Asia,India,Twitter India,None,None,No Information,2015,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +102,Financial big data for Hurricane Odile,"Researchers from BBVA Data and Analytics and United Nation Global Pulse used Big Data techniques to explore the relationship between financial transactions in the state (bank card payments and ATM cash withdrawals) before, during and after Odile, to analyse its economic impact on those affected. This analysis can improve understanding about which groups are most affected for targeting post-disaster assistance, how long it takes to return to normal, and how to generate estimates of the economic impact.",Risk Reduction,Disaster Relief logistic/resource allocation ,production,mitigation ,"Big Data, Data Analysis",Hurricanes/Typhoons/Cyclones,Americas,Central America,Mexico,BBVA Data and Analytics,UN Global Pulse,Numerical Data,No Information,2014,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +103,Disaster robots,Japan is a pioneering centre for the use of robots in disasters. The Human-Robot Informatics Laboratory of Tohoku University31 is active in developing several types of robots for disaster response,Disaster Risk Management ,Seach and rescue,prototype,response,"Cyber Physical Systems, Remote Sensing",Various,Asia,Eastern Asia,Japan,"The Human-Robot Informatics Laboratory of Tohoku University, Hitachi, Mitsubishi, Toshiba,",None,None,No Information,2017,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +104,Disaster robots,Japan is a pioneering centre for the use of robots in disasters. The Human-Robot Informatics Laboratory of Tohoku University31 is active in developing several types of robots for disaster response,Disaster Risk Management ,Seach and rescue,prototype,recovery,"Cyber Physical Systems, Remote Sensing",Various,Asia,Eastern Asia,Japan,"The Human-Robot Informatics Laboratory of Tohoku University, Hitachi, Mitsubishi, Toshiba,",None,None,No Information,2017,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +105,Internet of Things for river flooding control, The Colombia Government National Unit for Disaster Risk Management hired a Colombia-based company to implement an early warning system using IoT technology. Five solar-powered sensors were installed along the Liboriana and two other rivers to monitor water levels and air temperature using ultrasound. The use of solar ensures the sensors continue to function in the event of an electricity outage,Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,preparedness,Remote Sensing,Floods,Americas,South America,Colombia," Government of Colombia, Colombia Government National Unit for Disaster Risk Management",None,None,No Information,2016,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +106,ConvNetQuake,"A new approach uses AI to reduce waveform analysis processing while retaining location information. Developed by a team of researchers at Harvard University and the Massachusetts Institute of Technology, ConvNetQuake implements AI based on convolutional neural network computer learning",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,preparedness,"Artificial Intelligence, Machine Learning, Geographical Information Systems",Earthquakes,Americas,Northern America,United States of America,"Harvard University, Massachusetts Institute of Technology",None,Numerical Data,No Information,2018,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +107,Using ground sensor technology to detect earthquakes,"One technique used in earthquake early warning systems is a network of specialized ground sensors similar to IoT. Seismic sensors are deployed in earthquake-prone areas. Data are transmitted from the sensors to a central site, where the information is processed for signals that might indicate an earthquake is likely. This method takes longer to detect earthquakes than a single station, but is more accurate and has greater resiliency.",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,preparedness,Geographical Information Systems ,Earthquakes,Americas,Northern America,United States of America,No Information,No Information,Spatial Data,No Information,No Information,https://www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf,https://reliefweb.int/sites/reliefweb.int/files/styles/attachment-large/public/resources-pdf-previews/1264193-Disruptive-Technologies.png?itok=_ePoIjbB +108,Strong-motion seismograph networks(K-NET),"The Japan network K-NET (Kyoshin network) consists of more than 1 000 seismographs uniformly distributed every 20 km. Data are transmitted to the National Research Institute for Earth Science and Disaster Resilience, and made available to the public over a website",Disaster Risk Management ,Disaster assessment/prediction and early warning systems,production,preparedness,Geographical Information Systems ,Earthquakes,Asia,Eastern Asia,Japan,"K-NET (Kyoshin Network), KiK-net (Kiban Kyoshin Network) ",No Information,Spatial Data,No Information,2022,https://www.kyoshin.bosai.go.jp/,https://www.kyoshin.bosai.go.jp/kyoshin/images/header_tougou_en.png +109,"Be Healthy, Be Mobile (BHBM)","The Be Healthy, Be Mobile (BHBM) initiative was set up by the World Health Organization (WHO) and the International Telecommunication union (ITU) in 2012. BHBM works with governments to scale up targeted client communication messaging services for NCDs and their risk factors. The approach is designed to be scalable: instead of promoting specific products, it provides cross-cutting health content and technical support which can be used and incorporated into other services and applications. It also works to develop the broader ecosystem, helping ensure that the messaging service and content of each health programme is integrated and reinforces other health services. In doing so, each programme becomes a sustainable part of the health system whilst also helping to promote health and wellbeing around the world.",Health,Emergency communications,production,preparedness,Mobile App,Various,Global,Global,Global,ITU,WHO,Mobile Network Data ,SDG 3,2019,https://www.who.int/activities/Addressing-mobile-health,https://www.who.int/images/default-source/imported/digital-health/digital-health---fr.tmb-1920v.jpg?Culture=en&sfvrsn=a3823351_14 +110,"Be Healthy, Be Mobile (BHBM)","The Be Healthy, Be Mobile (BHBM) initiative was set up by the World Health Organization (WHO) and the International Telecommunication union (ITU) in 2012. BHBM works with governments to scale up targeted client communication messaging services for NCDs and their risk factors. The approach is designed to be scalable: instead of promoting specific products, it provides cross-cutting health content and technical support which can be used and incorporated into other services and applications. It also works to develop the broader ecosystem, helping ensure that the messaging service and content of each health programme is integrated and reinforces other health services. In doing so, each programme becomes a sustainable part of the health system whilst also helping to promote health and wellbeing around the world.",Health,Emergency communications,production,response,Mobile App,Various,Global,Global,Global,ITU,WHO,Mobile Network Data ,SDG 3,2019,https://www.who.int/activities/Addressing-mobile-health,https://www.who.int/images/default-source/imported/digital-health/digital-health---fr.tmb-1920v.jpg?Culture=en&sfvrsn=a3823351_14 +111,GEOSS Global Earth Observation Portal ,"Global Earth Observation System of Systems (GEOSS) is a set of coordinated, independent Earth observation, information and processing systems that interact and provide access to diverse information for a broad range of users in both public and private sectors.",Risk Reduction,Disaster assessment/prediction and early warning systems,production,preparedness,Geographical Information Systems,Various,Global,Global,Global,European Space Agency (ESA) ,None,Spatial Data,No Information,2016,https://drrgateway.net/e-resilience/tool/geoss-global-earth-observation-portal ,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/geoss-earth-observatory-e-resilience.jpg +112,Haze Gazer,"Haze Gazer is a real-time visual analytics tool for enhanced disaster management. The forest and peatland fires, which occur on an annual basis in Indonesia, affect the entire Southeast Asian region resulting in extensive environmental destruction and threatening livelihoods. Indonesian disaster management authorities are looking for more timely and effective means of tracking and managing the impact of fire and haze events. Pulse Lab Jakarta, in collaboration with the Government of Indonesia, developed Haze Gazer, a crisis analysis tool that provides real-time situational information from various data sources to enhance disaster management efforts. The prototype uses advanced data analysis of sources including: satellite imagery, information on population density and distribution from government databases, citizen-generated data and real-time data from social media. The capability afforded by the tool can enhance disaster risk management efforts to protect vulnerable populations as well as the environment.",Disaster Risk Management,Disaster Risk Management,prototype,mitigation,Data analysis,Wildfires,Asia,South-eastern Asia,Indonesia,Government of Indonesia,UN Global Pulse,Spatial Data,No Information,2016,http://hazegazer.org/,http://hazegazer.org/assets/image/hazergazoricon/HGlogo.png +113,Low Cost Sensors for Pollution Monitoring,Air quality data in many low and middle-income countries are difficult to acquire and manage. This is because the cost of regulatory grade instruments are prohibitive and equipment are difficult and costly to maintain. UN Environment has advocated for the use of low-cost sensors to fill the data gap and championed the development of an open source air quality monitoring device.,disaster risk reduction,Disaster Risk Management,production,mitigation ,"Data analysis, Remote Sensing",Climate Change,Global,Global,Global,South Coast Science,"UN-Habitat, UNEP",Sensor Data,"SDG 11, SDG 3",2016,https://news.un.org/en/story/2015/09/507692-un-environment-agency-unveils-low-cost-device-air-quality-monitoring,https://global.unitednations.entermediadb.net/assets/mediadb/services/module/asset/downloads/preset/assets/2015/09/22463/image1170x530cropped.jpg +114,ThinkHazard! Hazard Data Portal,"ThinkHazard! is a new web-based tool enabling non-specialists to consider the impacts of disasters on new development projects. Users of ThinkHazard! can quickly and robustly assess the level of river flood, earthquake, drought, cyclone, coastal flood, tsunami, volcano, and landslide hazard within their project area to assist with project planning and design.","Risk Reduction, Risk Prevention",Disaster assessment/prediction and early warning systems,production,response,"Big Data, Data Extraction",Various,Global,Global,Global,Global Facility for Disaster Reduction and recovery ,None,"Spatial Data, Text Data",No Information,2017,https://gfdrr.github.io/thinkhazardmethods/ ,https://gfdrr.github.io/thinkhazardmethods/images/posts/introduction/ThinkHazard.png +115,Freshwater Ecosystems Explorer,"The Freshwater Ecosystems Explorer is a free and easy to use data platform. It provides accurate, up-to-date, high-resolution geospatial data depicting the extent freshwater ecosystems change over time. Data can be visualized and downloaded at national, sub-national, basin and sub-basin levels.",Clean water,Situational awareness/actionable information gathering,production,mitigation ,Geographical Information Systems,Droughts,Global,Global,Global,"Google Earth Engine, Joint Research Center (JRC) of the European Commission",UNEP,Spatial Data,SDG 6,2019,https://www.sdg661.app/,https://lh6.googleusercontent.com/IBsyTiePa61XUU1SidMxGgnmxfbixLJtXeCGEW7RuatOt03xFEbMLryyrq3WzNG0Qoj-D1pkPFvmmSyf09eQvMM7aiarOb0VNoyB_XDwb2Ztul_g=w1280 +116,Freshwater Ecosystems Explorer,"The Freshwater Ecosystems Explorer is a free and easy to use data platform. It provides accurate, up-to-date, high-resolution geospatial data depicting the extent freshwater ecosystems change over time. Data can be visualized and downloaded at national, sub-national, basin and sub-basin levels.",Clean water,Situational awareness/actionable information gathering,production,response,Geographical Information Systems,Droughts,Global,Global,Global,"Google Earth Engine, Joint Research Center (JRC) of the European Commission",UNEP,Spatial Data,SDG 6,2019,https://www.sdg661.app/,https://lh6.googleusercontent.com/IBsyTiePa61XUU1SidMxGgnmxfbixLJtXeCGEW7RuatOt03xFEbMLryyrq3WzNG0Qoj-D1pkPFvmmSyf09eQvMM7aiarOb0VNoyB_XDwb2Ztul_g=w1280 +117,Freshwater Ecosystems Explorer,"The Freshwater Ecosystems Explorer is a free and easy to use data platform. It provides accurate, up-to-date, high-resolution geospatial data depicting the extent freshwater ecosystems change over time. Data can be visualized and downloaded at national, sub-national, basin and sub-basin levels.",Clean water,Situational awareness/actionable information gathering,production,recovery,Geographical Information Systems,Droughts,Global,Global,Global,"Google Earth Engine, Joint Research Center (JRC) of the European Commission",UNEP,Spatial Data,SDG 6,2019,https://www.sdg661.app/,https://lh6.googleusercontent.com/IBsyTiePa61XUU1SidMxGgnmxfbixLJtXeCGEW7RuatOt03xFEbMLryyrq3WzNG0Qoj-D1pkPFvmmSyf09eQvMM7aiarOb0VNoyB_XDwb2Ztul_g=w1280 +118,#JustSaveIt,"The project aimed to encourage bank account usage more specifically regular deposits made into agent-based bank accounts through a series of WhatsApp messages sent to bank agents. The messages (i.e. graphics, comics, written text) were sent to shop owners (who were also bank agents), urging them to encourage their customers to save the change from purchases made at their shops in their bank accounts. The messages shared as part of the #TabunginAja (#JustSaveIt) campaign, were informed by BeSci and included setting specific goals and applying rules of thumb to prompt the target behaviour (e.g. to encourage agents to ask their customers to save their shopping change if the amount is less than USD0.35).",Finance,Situational awareness/actionable information gathering,production,mitigation,Mobile App,Various,Asia,South-eastern Asia,Indonesia,The Secretariat of the Indonesian National Council for Financial Inclusion (S-DNKI),UN Pulse Lab Jakarta,"Mobile Network Data, Text Data","SDG 1, SDG 8, SDG 9",2021,https://www.bi.team/publications/justsaveit-encouraging-usage-of-agent-based-bank-accounts-to-improve-financial-inclusion/,https://www.bi.team/wp-content/uploads/2020/03/justsaveit-157x216.png +119,UN Biodiversity Lab,"The UN Biodiversity Lab is a free, open-source mapping platform designed to inform biodiversity conservation and sustainable development decision-making. The lab has directly engaged 170 countries in creating data-driven Sixth National Reports on their progress towards achieving the 2020 Aichi Biodiversity Targets. Thus far, the platform has increased the level of spatial planning and reporting by a factor of 5 (based on reports submitted by December 2018). The UN Biodiversity Lab is a collaboration with UN Environment, UNDP, the Convention on Biological Diversity and the Global Environment Facility. It is powered by MapX. ",Biodiversity ,Situational awareness/actionable information gathering,production,mitigation,"Geographical Information Systems, Data Collection, Data Analysis, Web mapping",Various,Global,Global,Global,"GEF, UNEP-WCMC, MapX, GRID-Geneva, NASA","UNDP, UNEP, SCBD",Spatial Data,"SDG 9, SDG 10, SDG 14, SDG 15",2019,https://unbiodiversitylab.org/about/,https://unbiodiversitylab.org/wp-content/uploads/2020/07/UNBL_FULL_WEBSITE.png +120,UN Biodiversity Lab,"The UN Biodiversity Lab is a free, open-source mapping platform designed to inform biodiversity conservation and sustainable development decision-making. The lab has directly engaged 170 countries in creating data-driven Sixth National Reports on their progress towards achieving the 2020 Aichi Biodiversity Targets. Thus far, the platform has increased the level of spatial planning and reporting by a factor of 5 (based on reports submitted by December 2018). The UN Biodiversity Lab is a collaboration with UN Environment, UNDP, the Convention on Biological Diversity and the Global Environment Facility. It is powered by MapX. ",Biodiversity ,Situational awareness/actionable information gathering,production,preparedness,"Geographical Information Systems, Data Collection, Data Analysis, Web mapping",Various,Global,Global,Global,"GEF, UNEP-WCMC, MapX, GRID-Geneva, NASA","UNDP, UNEP, SCBD",Spatial Data,"SDG 9, SDG 10, SDG 14, SDG 15",2019,https://unbiodiversitylab.org/about/,https://unbiodiversitylab.org/wp-content/uploads/2020/07/UNBL_FULL_WEBSITE.png +121,The Lockdown Learners Series,"The Lockdown Learners is a series of free-of-cost, interactive dialogues with students and educators in India on topics pertaining to COVID-19 and its impact on the Sustainable Development Goals (especially SDG 16), peace and the rule of law. It includes sensitisation of students on issues such as cybercrime, misinformation, gender-based violence, discrimination and corruption, among others. The Lockdown Learners series also aims to provide a platform for students to receive mentorship and knowledge support to use their skills to promote awareness among these issues and share their ideas and solutions to address some of these problems.",Situational Awareness,Situational awareness/actionable information gathering,production,mitigation ,Mobile App,Various,Asia,Southern Asia,India,"Navodaya Vidyalaya Samity, Government of India, private and public schools, civil society and rural educators",UNODC,"Mobile Network Data, Spatial Data","SDG 4, SDG 5, SDG 10, SDG 16",2021,https://www.unodc.org/e4j/en/about-e4j/e4j-around-the-world/lockdown-learners-india.html,https://www.unodc.org/images/e4j/Around-the-World/IMG_5504.JPG +122,The Lockdown Learners Series,"The Lockdown Learners is a series of free-of-cost, interactive dialogues with students and educators in India on topics pertaining to COVID-19 and its impact on the Sustainable Development Goals (especially SDG 16), peace and the rule of law. It includes sensitisation of students on issues such as cybercrime, misinformation, gender-based violence, discrimination and corruption, among others. The Lockdown Learners series also aims to provide a platform for students to receive mentorship and knowledge support to use their skills to promote awareness among these issues and share their ideas and solutions to address some of these problems.",Situational Awareness,Situational awareness/actionable information gathering,production,response,Mobile App,Various,Asia,Southern Asia,India,"Navodaya Vidyalaya Samity, Government of India, private and public schools, civil society and rural educators",UNODC,"Mobile Network Data, Spatial Data","SDG 4, SDG 5, SDG 10, SDG 16",2021,https://www.unodc.org/e4j/en/about-e4j/e4j-around-the-world/lockdown-learners-india.html,https://www.unodc.org/images/e4j/Around-the-World/IMG_5504.JPG +123,The Lockdown Learners Series,"The Lockdown Learners is a series of free-of-cost, interactive dialogues with students and educators in India on topics pertaining to COVID-19 and its impact on the Sustainable Development Goals (especially SDG 16), peace and the rule of law. It includes sensitisation of students on issues such as cybercrime, misinformation, gender-based violence, discrimination and corruption, among others. The Lockdown Learners series also aims to provide a platform for students to receive mentorship and knowledge support to use their skills to promote awareness among these issues and share their ideas and solutions to address some of these problems.",Situational Awareness,Situational awareness/actionable information gathering,production,recovery,Mobile App,Various,Asia,Southern Asia,India,"Navodaya Vidyalaya Samity, Government of India, private and public schools, civil society and rural educators",UNODC,"Mobile Network Data, Spatial Data","SDG 4, SDG 5, SDG 10, SDG 16",2021,https://www.unodc.org/e4j/en/about-e4j/e4j-around-the-world/lockdown-learners-india.html,https://www.unodc.org/images/e4j/Around-the-World/IMG_5504.JPG +124,Tanya Marlo,"Tanya Marlo is a chat bot designed to simulate conversations with human users, developed by UNAIDS Indonesia in partnership with Nimbly Technologies. The chat bot serves to be the reliable go-to-source for all HIV-related information for young people in Jakarta, who are not reached through traditional HIV outreach programmes. By integrating Marlo into LINE, a chat messaging application popular among young people in Southeast Asia, users are able to ask any questions on HIV and get real time answers. By adding this chat bot in LINE, users can get interesting and relevant information about HIV and be rewarded by answering quizzes. Most importantly, users can book appointments to get tested for HIV with just a tap, as well as be connected to real-life counselors to get a reliable information about HIV. Tanya Marlo was launched in Jakarta on 18 December 2018. ",Health,Situational awareness/actionable information gathering,production,mitigation ,Mobile App,Pandemic/Epidemic,Asia,Southern Asia,Indonesia,"Nimbly Technologies, LINKAGES, Jaringan Indonesia Positif (Indonesia Positive Network)",UNAIDS,Text Data,SDG 3,2019,https://page.line.me/bwk1011t?openQrModal=true,https://obs.line-scdn.net/r/myhome/hex/90d9770228b5b3981f0d08b9f9305be2539df36dd73a43ef1c2b3a43b50069d0td8bde3d19d28774t0d8b5fad/w750 +125,Tanya Marlo,"Tanya Marlo is a chat bot designed to simulate conversations with human users, developed by UNAIDS Indonesia in partnership with Nimbly Technologies. The chat bot serves to be the reliable go-to-source for all HIV-related information for young people in Jakarta, who are not reached through traditional HIV outreach programmes. By integrating Marlo into LINE, a chat messaging application popular among young people in Southeast Asia, users are able to ask any questions on HIV and get real time answers. By adding this chat bot in LINE, users can get interesting and relevant information about HIV and be rewarded by answering quizzes. Most importantly, users can book appointments to get tested for HIV with just a tap, as well as be connected to real-life counselors to get a reliable information about HIV. Tanya Marlo was launched in Jakarta on 18 December 2018. ",Health,Situational awareness/actionable information gathering,production,response,Mobile App,Pandemic/Epidemic,Asia,Southern Asia,Indonesia,"Nimbly Technologies, LINKAGES, Jaringan Indonesia Positif (Indonesia Positive Network)",UNAIDS,Text Data,SDG 3,2019,https://page.line.me/bwk1011t?openQrModal=true,https://obs.line-scdn.net/r/myhome/hex/90d9770228b5b3981f0d08b9f9305be2539df36dd73a43ef1c2b3a43b50069d0td8bde3d19d28774t0d8b5fad/w750 +126,Tanya Marlo,"Tanya Marlo is a chat bot designed to simulate conversations with human users, developed by UNAIDS Indonesia in partnership with Nimbly Technologies. The chat bot serves to be the reliable go-to-source for all HIV-related information for young people in Jakarta, who are not reached through traditional HIV outreach programmes. By integrating Marlo into LINE, a chat messaging application popular among young people in Southeast Asia, users are able to ask any questions on HIV and get real time answers. By adding this chat bot in LINE, users can get interesting and relevant information about HIV and be rewarded by answering quizzes. Most importantly, users can book appointments to get tested for HIV with just a tap, as well as be connected to real-life counselors to get a reliable information about HIV. Tanya Marlo was launched in Jakarta on 18 December 2018. ",Health,Situational awareness/actionable information gathering,production,recovery,Mobile App,Pandemic/Epidemic,Asia,Southern Asia,Indonesia,"Nimbly Technologies, LINKAGES, Jaringan Indonesia Positif (Indonesia Positive Network)",UNAIDS,Text Data,SDG 3,2019,https://page.line.me/bwk1011t?openQrModal=true,https://obs.line-scdn.net/r/myhome/hex/90d9770228b5b3981f0d08b9f9305be2539df36dd73a43ef1c2b3a43b50069d0td8bde3d19d28774t0d8b5fad/w750 +127,ETC Emergency Telecommunications Cluster,"The Emergency Telecommunications Cluster (ETC) is a global network of organizations that work together to provide shared communications services in humanitarian emergencies. The ETC is one of the 11 clusters designated by the Inter-Agency Standing Committee (IASC). The ETC website provides Emergency Telecommunications Cluster (ETC) project documentations, including meeting minutes, SitReps, maps, contact lists and updates. Within 48 hours of a disaster, the ETC provides vital security communications services and voice and Internet connectivity to assist the response community in their life-saving operations. Within four weeks, ETC services are expanded for continued emergency relief. ",Disaster Risk Management,Emergency communications,production,preparedness,Big Data ,Various,Global,Global,Global,The Emergency Telecommunications Cluster,"UNDP, UN OCHA, FAO, WFP, UNHCR","Spatial Data, Text Data",No Information,2021,https://etcluster.org/sites/default/files/paragraph/attachment/field_file/2021-12/ETC2025-Strategy_newtemplate%20%282%29.pdf ,https://www.etcluster.org/themes/custom/six8theme/dist/images/og.jpg?rev=2 +128,ETC Emergency Telecommunications Cluster,"The Emergency Telecommunications Cluster (ETC) is a global network of organizations that work together to provide shared communications services in humanitarian emergencies. The ETC is one of the 11 clusters designated by the Inter-Agency Standing Committee (IASC). The ETC website provides Emergency Telecommunications Cluster (ETC) project documentations, including meeting minutes, SitReps, maps, contact lists and updates. Within 48 hours of a disaster, the ETC provides vital security communications services and voice and Internet connectivity to assist the response community in their life-saving operations. Within four weeks, ETC services are expanded for continued emergency relief. ",Disaster Risk Management,Emergency communications,production,response,Big Data ,Various,Global,Global,Global,The Emergency Telecommunications Cluster,"UNDP, UN OCHA, FAO, WFP, UNHCR","Spatial Data, Text Data",No Information,2021,https://etcluster.org/sites/default/files/paragraph/attachment/field_file/2021-12/ETC2025-Strategy_newtemplate%20%282%29.pdf ,https://www.etcluster.org/themes/custom/six8theme/dist/images/og.jpg?rev=2 +129,Facebook Safety Check ,"Safety Check is a feature of the social network Facebook that is meant to help Facebook users quickly alert friends and family that they are safe during times of crisis, like floods, earthquakes or tsunamis. Safety Check works by sending users a push notification asking them if they are safe whenever a natural disaster strikes the area they list as their current location. Users can then see a list of their Facebook friends in the area, and see which users have checked in as safe and which have not.",Humanitarian response,Damage and loss assessment,production,preparedness,Mobile App,Various,Global,Global,Global,Facebook,None,Text Data,No Information,2014,https://about.fb.com/news/2014/10/introducing-safety-check/ ,https://about.fb.com/wp-content/uploads/2014/10/safetycheckmobielcarousel.jpg?w=870 +130,Facebook Safety Check ,"Safety Check is a feature of the social network Facebook that is meant to help Facebook users quickly alert friends and family that they are safe during times of crisis, like floods, earthquakes or tsunamis. Safety Check works by sending users a push notification asking them if they are safe whenever a natural disaster strikes the area they list as their current location. Users can then see a list of their Facebook friends in the area, and see which users have checked in as safe and which have not.",Humanitarian response,Damage and loss assessment,production,response,Mobile App,Various,Global,Global,Global,Facebook,None,Text Data,No Information,2014,https://about.fb.com/news/2014/10/introducing-safety-check/ ,https://about.fb.com/wp-content/uploads/2014/10/safetycheckmobielcarousel.jpg?w=870 +131,Get Ready Get Thru Information Portal ,"Get Ready Get Thru is an online multilingual guide for New Zealand to plan for and respond to disasters. New Zealand faces many potential disasters. In some cases, such as a weather related or volcanic disaster, there may be time for a warning. But an earthquake or a tsunami close to land could strike without warning. All disasters have the potential to cause disruption, damage property and take lives. The portal offers information material on different hazards, as well as guidance on establishing a household emergency plan and creating an emergency survival kit. In addition, information for people with disabilities is being offered and emergency contact details are provided.",Risk Reduction,Situational awareness/actionable information gathering,production,preparedness,Social Media,Various,Oceania,Australia and New Zealand,New Zealand,"Ministry of Civil Defence and Emergency Management, New Zealand",None,Text Data,No Information,No Information,https://drrgateway.net/e-resilience/tool/get-ready-get-thru-information-portal ,https://drrgateway.net/sites/default/files/e-resilience-toolkit-2017-04/get-ready-get-thru-portal-e-resilience.jpg +132,I-CoDI - ITU's International Centre of Digital Innovation,"I-CoDI seeks to help close the digital innovation divide by providing a safe co-design space for ITU Members and other stakeholders to develop innovative strategies that accelerate digital transformation and the achievement of the Sustainable Development Goals. ITU's International Centre of Digital Innovation (I-CoDI) provides a model for co-designing with a set of processes aiming to build synergies between stakeholders, increase speed, productivity, innovation and deliver outcomes with tangible impact in the region. It encompasses a set of tools and methodologies each catered to target and resolve common and frequent challenges for meaningful connectivity in the regions.","Situational awareness, Improved organizational efficiency",Situational awareness/actionable information gathering,production,mitigation,"Mobile App, Web-based App",Various,Global,Global,Global,UAE TDRA,ITU,Spatial Data,"SDG 4, SDG 5, SDG 9, SDG 17",2021,https://www.itu.int/en/ITU-D/Pages/I-CoDI.aspx,https://www.itu.int/en/ITU-D/SiteAssets/Pages/I-CoDI/Website_I_CoDI_banner.JPG +133,GRID3 ,"GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) works with countries to generate, validate, and use geospatial data on population, settlements, infrastructure, and administrative boundaries to strengthen the foundation for sustainable evidence-based development and humanitarian decision making. The initiative combines the expertise of partners in academia, government, the United Nations, and the private sector to design adaptable and relevant spatial data solutions based on the capacity and development needs of each country.","Situational awareness, Improved organizational efficiency",Disaster Risk Management,production,mitigation,"Geographical Information Systems, Data Collection, Data Mining",Various,Africa,"Middle Africa, Eastern Africa, Western Africa","Democratic Republic of the Congo, South Sudan, Zambia, Mozambique, Nigeria","Columbia University - Center for International Earth Sciene Information Network , WorldPop Flowminder, The Bill and Melinda Gates Foundation, Department for International Development (DFID)",UNFPA,Spatial Data,"SDG 3, SDG 5, SDG 11",2019,https://grid3.org/,https://grid3.org/content/themes/grid3/img/logos/grid3-logo-claim.png +134,GRID3 ,"GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) works with countries to generate, validate, and use geospatial data on population, settlements, infrastructure, and administrative boundaries to strengthen the foundation for sustainable evidence-based development and humanitarian decision making. The initiative combines the expertise of partners in academia, government, the United Nations, and the private sector to design adaptable and relevant spatial data solutions based on the capacity and development needs of each country.","Situational awareness, Improved organizational efficiency",Disaster Risk Management,production,preparedness,"Geographical Information Systems, Data Collection, Data Mining",Various,Africa,"Middle Africa, Eastern Africa, Western Africa","Democratic Republic of the Congo, South Sudan, Zambia, Mozambique, Nigeria","Columbia University - Center for International Earth Sciene Information Network , WorldPop Flowminder, The Bill and Melinda Gates Foundation, Department for International Development (DFID)",UNFPA,Spatial Data,"SDG 3, SDG 5, SDG 11",2019,https://grid3.org/,https://grid3.org/content/themes/grid3/img/logos/grid3-logo-claim.png +135,Map and monitor disease spreading,Development of a generic model using mobility data to forecast the spread of vector-borne diseases.,"Situational awareness, Improved organizational efficiency",Disaster Risk Management,idea,mitigation,Geographical Information Systems,Pandemic/Epidemic,Americas,South America,Colombia,No Information,UNICEF,Spatial Data,SDG 3,2018,https://www.unicef.org/innovation/stories/unlocking-power-data-social-good-colombia,https://www.unicef.org/innovation/sites/unicef.org.innovation/files/styles/hero_desktop/public/UN013364.jpg?itok=ZqbDzFW- +136,The Tsunami & Earthquake Fighter Game,"Tanah: Earthquake and Tsunami Fighter is a fun action packed game (mobile application) that makes learning about disaster risk reduction actions interesting and engaging for people of all ages, but particularly children. With more than 20 exciting and challenging stages, Tanah: The Tsunami and Earthquake Fighter, has been developed to engage users to learn how to protect themselves from earthquakes and tsunamis, providing key survival lessons for all phases of disaster preparedness, response and recovery.",Risk Reduction,Situational awareness/actionable information gathering,production,response,Mobile App,Tsunamis,Global,Global,Global,"Red Cross/Red Crescent Global Disaster preparedness Center (GDPC), Opendream ","UNESCO, UNESCO Bangkok",None,No Information,2016,https://southeastasiaglobe.com/new-unesco-game-app-tanah-the-tsunami-earthquake-fighter-teaches-children-survival-skills/ ,"https://sp-ao.shortpixel.ai/client/to_auto,q_glossy,ret_img,w_300/https://southeastasiaglobe.com/wp-content/uploads/2016/01/1024x1024sr-300x300.jpg" +137,The Tsunami & Earthquake Fighter Game,"Tanah: Earthquake and Tsunami Fighter is a fun action packed game (mobile application) that makes learning about disaster risk reduction actions interesting and engaging for people of all ages, but particularly children. With more than 20 exciting and challenging stages, Tanah: The Tsunami and Earthquake Fighter, has been developed to engage users to learn how to protect themselves from earthquakes and tsunamis, providing key survival lessons for all phases of disaster preparedness, response and recovery.",Risk Reduction,Situational awareness/actionable information gathering,production,recovery,Mobile App,Tsunamis,Global,Global,Global,"Red Cross/Red Crescent Global Disaster preparedness Center (GDPC), Opendream ","UNESCO, UNESCO Bangkok",None,No Information,2016,https://southeastasiaglobe.com/new-unesco-game-app-tanah-the-tsunami-earthquake-fighter-teaches-children-survival-skills/ ,"https://sp-ao.shortpixel.ai/client/to_auto,q_glossy,ret_img,w_300/https://southeastasiaglobe.com/wp-content/uploads/2016/01/1024x1024sr-300x300.jpg" +138,IoT for Climate in Rwanda,"The pilot project tested the use of IoT in the climate information value chain. Through capacity building, hackathons and test deployment, the project identified key areas for IoT technology opportunities and produced some early solutions for the dissemination of weather information. ","Situational awareness, Improved organizational efficiency",Situational awareness/actionable information gathering,production,preparedness,Internet of Things,Climate Change,Africa,Eastern Africa,Rwanda,"UNDP, UNDP Africa","UNDP, UNDP Africa",Sensor Data,No Information,2019,https://medium.com/@UNDPAfrica/homegrown-technology-brings-new-angles-to-climate-early-warning-systems-27fe60b7f767,https://miro.medium.com/max/1400/1*LcWSdXFg91S9Uf98unfgzg.jpeg +139,Scaling-up multi-hazard early warning system and the use of climate information,"Centralized Multi-Hazard Disaster Risk Information and Knowledge System is a GIS-based web portal being developed to enable the information management and access of individuals, communities, and public authorities in Georgia to relevant knowledge and comprehensive information on all aspects of disaster risks, including hazards, exposure, vulnerability, and capacity, related to persons, communities, organizations and their assets. The Emergency Management Service of the Ministry of Internal Affairs of Georgia will be the owner of the system. The system will allow collection and sharing of big volumes of data for modeling socio-economic vulnerability to natural hazards. It will be a valid source for hazard maps and risk profiles for various state agencies across all economic sectors. ","Situational awareness, Improved organizational efficiency",Situational awareness/actionable information gathering,prototype,preparedness,Geographical Information Systems,Various,Asia,Western Asia,Georgia,"Ministry of Environment Protection of Georgia, Green Climate Fund, Swiss Development Cooperation (SDC)",UNDP,Spatial Data,No Information,2018,https://www.adaptation-undp.org/projects/scaling-multi-hazard-early-warning-system-and-use-climate-information-georgia,https://www.adaptation-undp.org/sites/default/files/project-display-photo/26060090714_c0fd5b7f9a_b_cr.jpg +140,Scaling-up multi-hazard early warning system and the use of climate information,"Centralized Multi-Hazard Disaster Risk Information and Knowledge System is a GIS-based web portal being developed to enable the information management and access of individuals, communities, and public authorities in Georgia to relevant knowledge and comprehensive information on all aspects of disaster risks, including hazards, exposure, vulnerability, and capacity, related to persons, communities, organizations and their assets. The Emergency Management Service of the Ministry of Internal Affairs of Georgia will be the owner of the system. The system will allow collection and sharing of big volumes of data for modeling socio-economic vulnerability to natural hazards. It will be a valid source for hazard maps and risk profiles for various state agencies across all economic sectors. ","Situational awareness, Improved organizational efficiency",Situational awareness/actionable information gathering,prototype,response,Geographical Information Systems,Various,Asia,Western Asia,Georgia,"Ministry of Environment Protection of Georgia, Green Climate Fund, Swiss Development Cooperation (SDC)",UNDP,Spatial Data,No Information,2018,https://www.adaptation-undp.org/projects/scaling-multi-hazard-early-warning-system-and-use-climate-information-georgia,https://www.adaptation-undp.org/sites/default/files/project-display-photo/26060090714_c0fd5b7f9a_b_cr.jpg +141,Bioverse,Using drones and AI to help communites manage forest resources sustainably,"Climate, Inclusive Growth",Situational awareness/actionable information gathering ,production,preparedness,"Artificial Intelligence, Big Data",Various,Americas,South America,Brazil,"UNICEF, UNICEF Innovation, Singularity University, Google, NASA",UNICEF,Spatial Data,SDG 15,2021,https://www.bioverse.io/,https://media-exp3.licdn.com/dms/image/C4E0BAQFKReoEsXxnSQ/company-logo_200_200/0/1618894207880?e=2159024400&v=beta&t=9zl41KEYkEfnVhkQU2LGH513oo_eIYfrbrLKZirgyKw +142,Bioverse,Using drones and AI to help communites manage forest resources sustainably,"Climate, Inclusive Growth",Situational awareness/actionable information gathering ,production,mitigation,"Artificial Intelligence, Big Data",Various,Americas,South America,Brazil,"UNICEF, UNICEF Innovation, Singularity University, Google, NASA",UNICEF,Spatial Data,SDG 15,2021,https://www.bioverse.io/,https://media-exp3.licdn.com/dms/image/C4E0BAQFKReoEsXxnSQ/company-logo_200_200/0/1618894207880?e=2159024400&v=beta&t=9zl41KEYkEfnVhkQU2LGH513oo_eIYfrbrLKZirgyKw +143,DiCRA,Data in Climate Resilient Agriculture (DiCRA) demystifies climate resilience in agriculture and mainstreams data-driven decision making on climate adaptation in agriculture.,"Environment, Pollution",Situational awareness/actionable information gathering,production,preparedness,"Artificial Intelligence, Big Data",Climate Change,Asia,Southern Asia,India,"UNDP, UNDP Accelerator Labs, Rockefeller Foundation, Government of Telangana, ICRISAT, Zero Hunger Lab, JADS, RICH",UNDP,Spatial Data,SDG 13,2022,https://dicra.undp.org.in/,https://www.undp.org/sites/g/files/zskgke326/files/styles/image_with_credit_caption_wide_large_1920_x897_/public/2022-07/Dicra%20cover.jpg?itok=4h0XPSDl +144,DiCRA,Data in Climate Resilient Agriculture (DiCRA) demystifies climate resilience in agriculture and mainstreams data-driven decision making on climate adaptation in agriculture.,"Environment, Pollution",Situational awareness/actionable information gathering,production,mitigation,"Artificial Intelligence, Big Data",Climate Change,Asia,Southern Asia,India,"UNDP, UNDP Accelerator Labs, Rockefeller Foundation, Government of Telangana, ICRISAT, Zero Hunger Lab, JADS, RICH",UNDP,Spatial Data,SDG 13,2022,https://dicra.undp.org.in/,https://www.undp.org/sites/g/files/zskgke326/files/styles/image_with_credit_caption_wide_large_1920_x897_/public/2022-07/Dicra%20cover.jpg?itok=4h0XPSDl +145,DisasterAWARE Pro,"Humanitarian risk intelligence platform that serves the early warning and decision support needs of the public, governments, and NGOs around the world","Disaster Risk Management, Early Warning ",Early Warning System,production,preparedness,"Geographical Information Systems, Remote Sensing",Various,Global,Global,Global,"WFP, WHO, UNICEF, UNDRR, UN Women, US Government, USAID, NASA, and hundreds of international partners",DRR,"Spatial Data, Mobile Network Data, Text Data","SDG 3, SDG 13",2021,https://www.pdc.org/disasteraware,https://www.pdc.org/wp-content/uploads/PDCLogo.svg +146,DisasterAWARE Pro,"Humanitarian risk intelligence platform that serves the early warning and decision support needs of the public, governments, and NGOs around the world","Disaster Risk Management, Early Warning ",Early Warning System,production,recovery,"Geographical Information Systems, Remote Sensing",Various,Global,Global,Global,"WFP, WHO, UNICEF, UNDRR, UN Women, US Government, USAID, NASA, and hundreds of international partners",DRR,"Spatial Data, Mobile Network Data, Text Data","SDG 3, SDG 13",2022,https://www.pdc.org/disasteraware,https://www.pdc.org/wp-content/uploads/PDCLogo.svg +147,DisasterAWARE Pro,"Humanitarian risk intelligence platform that serves the early warning and decision support needs of the public, governments, and NGOs around the world","Disaster Risk Management, Early Warning ",Early Warning System,production,response,"Geographical Information Systems, Remote Sensing",Various,Global,Global,Global,"WFP, WHO, UNICEF, UNDRR, UN Women, US Government, USAID, NASA, and hundreds of international partners",DRR,"Spatial Data, Mobile Network Data, Text Data","SDG 3, SDG 13",2023,https://www.pdc.org/disasteraware,https://www.pdc.org/wp-content/uploads/PDCLogo.svg +148,DisasterAWARE Pro,"Humanitarian risk intelligence platform that serves the early warning and decision support needs of the public, governments, and NGOs around the world","Disaster Risk Management, Early Warning ",Early Warning System,production,mitigation,"Geographical Information Systems, Remote Sensing",Various,Global,Global,Global,"WFP, WHO, UNICEF, UNDRR, UN Women, US Government, USAID, NASA, and hundreds of international partners",DRR,"Spatial Data, Mobile Network Data, Text Data","SDG 3, SDG 13",2024,https://www.pdc.org/disasteraware,https://www.pdc.org/wp-content/uploads/PDCLogo.svg +149,Moskeet,IoT Technology for Smart Mosquito Control Management to help control mosquito-borne diseases,Disaster Risk Management,Disaster Risk Management,production,preparedness,Internet of Things,Pandemic/Epidemic,Asia,Southern Asia,India,"World Food Program, MIT Solve program, Bill & Melinda Gates Foundation, Malaria Quest (India Health Fund - TATA Trusts), Marico Innovation Foundation (MIF) Scale-Up program, AI for Humanity (Patrick J. McGovern Foundation), AI for Good award (AWS)",WFP,"Numerical Data, Text Data",SDG 3,2022,https://www.trakitnow.com/,https://www.trakitnow.com/wp-content/uploads/2018/08/banner-part1-3.png +150,Moskeet,IoT Technology for Smart Mosquito Control Management to help control mosquito-borne diseases,Disaster Risk Management,Disaster Risk Management,production,mitigation,Internet of Things,Pandemic/Epidemic,Asia,Southern Asia,India,"World Food Program, MIT Solve program, Bill & Melinda Gates Foundation, Malaria Quest (India Health Fund - TATA Trusts), Marico Innovation Foundation (MIF) Scale-Up program, AI for Humanity (Patrick J. McGovern Foundation), AI for Good award (AWS)",WFP,"Numerical Data, Text Data",SDG 3,2022,https://www.trakitnow.com/,https://www.trakitnow.com/wp-content/uploads/2018/08/banner-part1-3.png +151,Empower Tracking,"Using the crowd, blockchain, and incentives to reduce plastic waste across the globe","Health, Environment",Situational awareness/actionable information gathering,production,preparedness,"Big Data, Blockchain",Various,Global,Global,Global,"SAP.iO SAPs startup/scaleup program with technical, Google program for SDG Startups, Alliance to End Plastic Waste Accelerator program with Plug and Play VC, Ocean Plastic Prevention Accelerator (Incubation Network), AEPW, UpLink and TopLink (World Economic Forum), The Factory Accelerator, Best Nordic Accelerator Program winner multiple years",UNDP,None,"SDG 3, SDG 6, SDG 13",2018,https://www.empower.eco/,https://d9hhrg4mnvzow.cloudfront.net/www.empower.eco/9832175d-empower-heo.jpg +152,Everimpact,"Measuring, identifying and monetising carbon emissions reductions & carbon sequestration","Environment, Pollution",Situational awareness/actionable information gathering,production,preparedness,"Big Data, Geographical Information Systems",Various,Global,Global,Global,"European Commission (Climate KiC, EIT Climate Urban Mobility, Horizon 2020), Asian Development Bank, CNES (French Space Agency), Google SDG start-up accelerator, City Finance Lab and South Pole, BT (British Telecom), EDF (Utility group)",UNDP,"Spatial Data, Sensor Data","SDG 7, SDG 11, SDG 12, SDG 13",2021,https://www.everimpact.com/,"https://static.wixstatic.com/media/248e25_b24686bcd8634607ba226c3345185ea0f000.jpg/v1/fill/w_1280,h_428,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/248e25_b24686bcd8634607ba226c3345185ea0f000.jpg" +153,Everimpact,"Measuring, identifying and monetising carbon emissions reductions & carbon sequestration","Environment, Pollution",Situational awareness/actionable information gathering,production,mitigation,"Big Data, Geographical Information Systems",Various,Global,Global,Global,"European Commission (Climate KiC, EIT Climate Urban Mobility, Horizon 2020), Asian Development Bank, CNES (French Space Agency), Google SDG start-up accelerator, City Finance Lab and South Pole, BT (British Telecom), EDF (Utility group)",UNDP,"Spatial Data, Sensor Data","SDG 7, SDG 11, SDG 12, SDG 13",2021,https://www.everimpact.com/,"https://static.wixstatic.com/media/248e25_b24686bcd8634607ba226c3345185ea0f000.jpg/v1/fill/w_1280,h_428,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/248e25_b24686bcd8634607ba226c3345185ea0f000.jpg" +154,FloodMapp,Real-time flood modelling solution for flood forecasting and emergency management,"Disaster Risk Management, Mitigation",Disaster Risk Management,production,preparedness,Geographical Information Systems,Floods,Americas,Northern America,United States of America,"H2 Ventures Accelerator, River City Labs Accelerator, Joules Accelerator, Rise accelerator (George Washington University)",UNDP,Spatial Data,SDG 13,2021,https://www.floodmapp.com/,"https://static.wixstatic.com/media/b1adb2_38c3ab055ac1431d8a4b4b72ca049476~mv2.png/v1/crop/x_29,y_0,w_1250,h_375/fill/w_225,h_69,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/FloodMapp_TextBesideLogo.png" +155,FloodMapp,Real-time flood modelling solution for flood forecasting and emergency management,"Disaster Risk Management, Mitigation",Disaster Risk Management,production,recovery,Geographical Information Systems,Floods,Americas,Northern America,United States of America,"H2 Ventures Accelerator, River City Labs Accelerator, Joules Accelerator, Rise accelerator (George Washington University)",UNDP,Spatial Data,SDG 13,2021,https://www.floodmapp.com/,"https://static.wixstatic.com/media/b1adb2_38c3ab055ac1431d8a4b4b72ca049476~mv2.png/v1/crop/x_29,y_0,w_1250,h_375/fill/w_225,h_69,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/FloodMapp_TextBesideLogo.png" +156,FloodMapp,Real-time flood modelling solution for flood forecasting and emergency management,"Disaster Risk Management, Mitigation",Disaster Risk Management,production,response,Geographical Information Systems,Floods,Americas,Northern America,United States of America,"H2 Ventures Accelerator, River City Labs Accelerator, Joules Accelerator, Rise accelerator (George Washington University)",UNDP,Spatial Data,SDG 13,2021,https://www.floodmapp.com/,"https://static.wixstatic.com/media/b1adb2_38c3ab055ac1431d8a4b4b72ca049476~mv2.png/v1/crop/x_29,y_0,w_1250,h_375/fill/w_225,h_69,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/FloodMapp_TextBesideLogo.png" +157,FloodMapp,Real-time flood modelling solution for flood forecasting and emergency management,"Disaster Risk Management, Mitigation",Disaster Risk Management,production,mitigation,Geographical Information Systems,Floods,Americas,Northern America,United States of America,"H2 Ventures Accelerator, River City Labs Accelerator, Joules Accelerator, Rise accelerator (George Washington University)",UNDP,Spatial Data,SDG 13,2021,https://www.floodmapp.com/,"https://static.wixstatic.com/media/b1adb2_38c3ab055ac1431d8a4b4b72ca049476~mv2.png/v1/crop/x_29,y_0,w_1250,h_375/fill/w_225,h_69,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/FloodMapp_TextBesideLogo.png" +158,FASSSTER,FASSSTER is a now casting and forecasting tool that supports creation of policies and guidelines in the management of a disease outbreak/pandemic,"Disaster Risk Management, Early Warning ",Early Warning System,production,preparedness,Data Collection,Pandemic/Epidemic,Asia,South-eastern Asia,Philippines,"Department of Sciencec and Technology, PhilippinesDepartment of Health, Philippines",UNDP,"Numerical Data, Text Data",SDG 3,2022,https://fassster.ehealth.ph/covid19/,https://fassster.ehealth.ph/covid19/assets/img/fassster-logo.png +159,FASSSTER,FASSSTER is a now casting and forecasting tool that supports creation of policies and guidelines in the management of a disease outbreak/pandemic,"Disaster Risk Management, Early Warning ",Early Warning System,production,mitigation,Data Collection,Pandemic/Epidemic,Asia,South-eastern Asia,Philippines,"Department of Sciencec and Technology, PhilippinesDepartment of Health, Philippines",UNDP,"Numerical Data, Text Data",SDG 3,2022,https://fassster.ehealth.ph/covid19/,https://fassster.ehealth.ph/covid19/assets/img/fassster-logo.png +160,OroraTech,Global early wildfire detection and real-time monitoring from space,"Disaster Risk Management, Mitigation",Early Warning System,production,preparedness,Geographical Information Systems,Wildfires,Global,Global,Global,"Google for Startups for SDG, Samsung for Impact, Plug and play Brazil accelerator, ESA Business Incubation Centre Bavaria, German accelerator Silicon Valley, Telecom tech boost",UNDP,Spatial Data,SDG 15,2022,https://ororatech.com/,https://868744.smushcdn.com/2595673/wp-content/uploads/2022/01/mockup-multiple-device-ororatech-wildfire-monitoring-service-768x432.png?lossy=0&strip=1&webp=1 +161,OroraTech,Global early wildfire detection and real-time monitoring from space,"Disaster Risk Management, Mitigation",Early Warning System,production,recovery,Geographical Information Systems,Wildfires,Global,Global,Global,"Google for Startups for SDG, Samsung for Impact, Plug and play Brazil accelerator, ESA Business Incubation Centre Bavaria, German accelerator Silicon Valley, Telecom tech boost",UNDP,Spatial Data,SDG 15,2022,https://ororatech.com/,https://868744.smushcdn.com/2595673/wp-content/uploads/2022/01/mockup-multiple-device-ororatech-wildfire-monitoring-service-768x432.png?lossy=0&strip=1&webp=1 +162,OroraTech,Global early wildfire detection and real-time monitoring from space,"Disaster Risk Management, Mitigation",Early Warning System,production,response,Geographical Information Systems,Wildfires,Global,Global,Global,"Google for Startups for SDG, Samsung for Impact, Plug and play Brazil accelerator, ESA Business Incubation Centre Bavaria, German accelerator Silicon Valley, Telecom tech boost",UNDP,Spatial Data,SDG 15,2022,https://ororatech.com/,https://868744.smushcdn.com/2595673/wp-content/uploads/2022/01/mockup-multiple-device-ororatech-wildfire-monitoring-service-768x432.png?lossy=0&strip=1&webp=1 +163,OroraTech,Global early wildfire detection and real-time monitoring from space,"Disaster Risk Management, Mitigation",Early Warning System,production,mitigation,Geographical Information Systems,Wildfires,Global,Global,Global,"Google for Startups for SDG, Samsung for Impact, Plug and play Brazil accelerator, ESA Business Incubation Centre Bavaria, German accelerator Silicon Valley, Telecom tech boost",UNDP,Spatial Data,SDG 15,2022,https://ororatech.com/,https://868744.smushcdn.com/2595673/wp-content/uploads/2022/01/mockup-multiple-device-ororatech-wildfire-monitoring-service-768x432.png?lossy=0&strip=1&webp=1 +164,Thinking Machines Data Science,"Helping organizations restore nature and reduce poverty by using geospatial data, AI, and earth observation data","Inclusive Growth, Climate",Situational awareness/actionable information gathering,production,mitigation,Geographical Information Systems,Various,Asia,South-eastern Asia,Singapore,"UNICEF Innovation Fund, UNICEF Venture Fund, Conservation International",UNDP,Spatial Data,SDG 1,2022,https://thinkingmachin.es/,https://site-assets.plasmic.app/711376e3970b1a53504e099b2f687079.jpg +165,Beacon,Emergency dispatch platform for local responders,Disaster Risk Management,Disaster Risk Management,production,recovery,Mobile App,Various,Global,Global,Global,"MIT Solve Unbundle Policing Accelerator, USAID, Google, World Bank, Cisco, Twilio, PagerDuty, NewRelic, CRC, US Coast Guard, NetHope",None,"Mobile Network Data, Spatial Data",SDG 3,2022,https://www.trekmedics.org/beacon/,"https://media.trekmedics.org/uploads/2021/03/laptop-dashboard-beacon-emergency-dispatch-platform.jpg?strip=all&lossy=1&ssl=1&fit=555,340" +166,Beacon,Emergency dispatch platform for local responders,Disaster Risk Management,Disaster Risk Management,production,response,Mobile App,Various,Global,Global,Global,"MIT Solve Unbundle Policing Accelerator, USAID, Google, World Bank, Cisco, Twilio, PagerDuty, NewRelic, CRC, US Coast Guard, NetHope",None,"Mobile Network Data, Spatial Data",SDG 3,2022,https://www.trekmedics.org/beacon/,"https://media.trekmedics.org/uploads/2021/03/laptop-dashboard-beacon-emergency-dispatch-platform.jpg?strip=all&lossy=1&ssl=1&fit=555,340" +167,Humanitarian OpenStreeMap Team,Tasking Manager is used to crowdsource mapping data for areas around the world where data is needed to help save or improve lives,Inclusive Growth,Situational awareness/actionable information gathering,production,preparedness,Geographical Information Systems,Various,Global,Global,Global,"USAID, Global Fund for Disaster Reduction and Recovery (GFDRR), SwissRE Foundation",None,Spatial Data,SDG 10,2022,https://tasks.hotosm.org/,https://tasks.hotosm.org/static/media/main-logo.c0ba68c8.svg +168,Sealr,"Using AI, blockchain, and geotagging to help organizations track and verify delivery of aid and monitor and verify project outputs",Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,response,"Artificial Intelligence, Blockchain, Geographical Information Systems",Various,Global,Global,Global,"UNDP, UNDP Niger, Humanitarian Grand Challenges, UK Aid, Aid Pioneers, Palladium",UNDP,Spatial Data,"SDG 1, SDG 2, SDG 3",2021,https://www.sealr.app/,https://www.sealr.app/images/home/iPhoneSeal1_2x.png +169,Sealr,"Using AI, blockchain, and geotagging to help organizations track and verify delivery of aid and monitor and verify project outputs",Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,mitigation,"Artificial Intelligence, Blockchain, Geographical Information Systems",Various,Global,Global,Global,"UNDP, UNDP Niger, Humanitarian Grand Challenges, UK Aid, Aid Pioneers, Palladium",UNDP,Spatial Data,"SDG 1, SDG 2, SDG 3",2021,https://www.sealr.app/,https://www.sealr.app/images/home/iPhoneSeal1_2x.png +170,Zzapp Malaria,"AI for planning, executing, and monitoring of large-scale, cost-effective anti-malaria operations",Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,recovery,"Artificial Intelligence, Big Data",Pandemic/Epidemic,Global,Global,Global,"IBM Watson, Cisco, Google for Startups SDGs",UNDP,"Spatial Data, Numerical Data",SDG 3,2018,https://www.zzappmalaria.com/,"https://static.wixstatic.com/media/eb15a6_4a38e0280d90489c83737b3864d6422c~mv2.png/v1/fill/w_468,h_297,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/zzapp_laptop_system_500x500.png" +171,Zzapp Malaria,"AI for planning, executing, and monitoring of large-scale, cost-effective anti-malaria operations",Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,response,"Artificial Intelligence, Big Data",Pandemic/Epidemic,Global,Global,Global,"IBM Watson, Cisco, Google for Startups SDGs",UNDP,"Spatial Data, Numerical Data",SDG 3,2018,https://www.zzappmalaria.com/,"https://static.wixstatic.com/media/eb15a6_4a38e0280d90489c83737b3864d6422c~mv2.png/v1/fill/w_468,h_297,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/zzapp_laptop_system_500x500.png" +172,MobileAid,Using geo-targeting and machine learning to deliver relief to society's most vulnerable groups,Disaster Mitigation,Disaster Relief logistic/resource allocation ,production,response,"Machine Learning, Geographical Information Systems",Various,Africa,Eastern Africa,Malawi,"UNDP, UNDP Bangladesh /a2i, World Bank, Center for Effective Global Action (CEGA), USAID, Google.org, Government of Togo, Fonds Social de la Republique Democratique du Congo (Social Fund of the Democratic Republic of Cong",UNDP,Mobile Network Data,SDG 1,2022,https://www.givedirectly.org/,https://www.givedirectly.org/wp-content/uploads/2021/07/Transfer-Withdrawal-scaled-1-705x469.jpeg +173,MobileAid,Using geo-targeting and machine learning to deliver relief to society's most vulnerable groups,Disaster Mitigation,Disaster Relief logistic/resource allocation ,production,mitigation,"Machine Learning, Geographical Information Systems",Various,Africa,Eastern Africa,Malawi,"UNDP, UNDP Bangladesh /a2i, World Bank, Center for Effective Global Action (CEGA), USAID, Google.org, Government of Togo, Fonds Social de la Republique Democratique du Congo (Social Fund of the Democratic Republic of Cong",UNDP,Mobile Network Data,SDG 1,2022,https://www.givedirectly.org/,https://www.givedirectly.org/wp-content/uploads/2021/07/Transfer-Withdrawal-scaled-1-705x469.jpeg +174,Aselo,Modernizing processes of crisis response helplines,Disaster Mitigation,Disaster Relief logistic/resource allocation ,production,response,Mobile App,Various,Americas,Caribbean,Jamaica,"One Family Foundation, Child Helpline International, the End Violence Fund, Twilio.org, Schmidt Futures, Facebook and the Jenesis Group",UNDP,None,"SDG 1, SDG 10",2022,https://aselo.org/,https://aselo.org/wp-content/uploads/2021/03/helpline-operator.jpg +175,D-MOSS,Dengue fever early warning system,"Disaster Risk Management, Early Warning ",Early Warning System,production,preparedness,"Data Collection, Web mapping",Pandemic/Epidemic,Asia,Southern Asia,Sri Lanka,"UNDP, UNDP Vietnam, UK Space Agency's International Partnership Programme",UNDP,Numerical Data,SDG 3,2022,https://www.hrwallingford.com/projects/d-moss-dengue-forecasting-model-satellite-based-system,https://www.hrwallingford.com/themes/custom/hrwallingford/logo.png +176,Ignitia,Climate-smart decision-making through accurate weather forecasts and agricultural advisory,"Climate, Inclusive Growth",Situational awareness/actionable information gathering ,production,preparedness,"Artificial Intelligence, Big Data",Various,Global,Global,Global,"Novastar, IKEA Social Entrepreneurship, HACK VC, FINCA Ventures, Norrsken Foundation, USDIV, Achmea Accelerator, WE4F",UNDP,Spatial Data,"SDG 13, SDG 15",2022,https://www.ignitia.se/,"https://static.wixstatic.com/media/11062b_af392b5325e7416eb2d8b6f9b1b3c634f000.jpg/v1/fill/w_1903,h_700,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/11062b_af392b5325e7416eb2d8b6f9b1b3c634f000.jpg" +177,Ignitia,Climate-smart decision-making through accurate weather forecasts and agricultural advisory,"Climate, Inclusive Growth",Situational awareness/actionable information gathering ,production,mitigation,"Artificial Intelligence, Big Data",Various,Global,Global,Global,"Novastar, IKEA Social Entrepreneurship, HACK VC, FINCA Ventures, Norrsken Foundation, USDIV, Achmea Accelerator, WE4F",UNDP,Spatial Data,"SDG 13, SDG 15",2022,https://www.ignitia.se/,"https://static.wixstatic.com/media/11062b_af392b5325e7416eb2d8b6f9b1b3c634f000.jpg/v1/fill/w_1903,h_700,al_c,q_85,usm_0.33_1.00_0.00,enc_auto/11062b_af392b5325e7416eb2d8b6f9b1b3c634f000.jpg" +178,Global Forest Watch,Online platform that provides data and tools for monitoring forests and emerging risks to ecosystems,Environment,Situational awareness/actionable information gathering,production,preparedness,"Geographical Information Systems, Big Data",Various,Global,Global,Global,USAID,UNEP,Spatial Data,SDG 15,2019,https://www.globalforestwatch.org/,https://www.globalforestwatch.org/assets/gfw.png +179,Landslide Detection Squad,Early warning of landslide events is critical to inform at-risk communities and emergency response,Early Warning,Early Warning System,prototype,mitigation,"Artificial Intelligence, Machine Learning",Landslide,Oceania,Australia and New Zealand,Australia,NASA,None,"Sensor Data, Spatial Data","SDG 13, SDG 15",2021,https://github.com/rociopey/landslidedetectionsquad,https://images.spaceappschallenge.org/team-photos/UOY09ZXi7AP3uxYyyeqyeDInBi4=/28136/fill-591x300/ +180,Landslide Detection Squad,Early warning of landslide events is critical to inform at-risk communities and emergency response,Early Warning,Early Warning System,prototype,preparedness,"Artificial Intelligence, Machine Learning",Landslide,Oceania,Australia and New Zealand,Australia,NASA,None,"Sensor Data, Spatial Data","SDG 13, SDG 15",2021,https://github.com/rociopey/landslidedetectionsquad,https://images.spaceappschallenge.org/team-photos/UOY09ZXi7AP3uxYyyeqyeDInBi4=/28136/fill-591x300/ +181,SDGs Today,Production and use of real-time and timely geo-referenced data for the SDGs,Disaster Risk Management,Situational awareness/actionable information gathering,production,preparedness,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,United Nations Sustainable Development Solutions Network,UNDP,Spatial Data,"SDG 13, SDG 15, SDG 16",2020,https://sdgstoday.org/dataset-hub,https://www.unsdsn-ne.org/wp-content/uploads/2020/08/sdgstoday_cover.png +182,SDGs Today,Production and use of real-time and timely geo-referenced data for the SDGs,Disaster Risk Management,Situational awareness/actionable information gathering,production,response,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,United Nations Sustainable Development Solutions Network,UNDP,Spatial Data,"SDG 13, SDG 15, SDG 16",2021,https://sdgstoday.org/dataset-hub,https://www.unsdsn-ne.org/wp-content/uploads/2020/08/sdgstoday_cover.png +183,SDGs Today,Production and use of real-time and timely geo-referenced data for the SDGs,Disaster Risk Management,Situational awareness/actionable information gathering,production,mitigation,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,United Nations Sustainable Development Solutions Network,UNDP,Spatial Data,"SDG 13, SDG 15, SDG 16",2022,https://sdgstoday.org/dataset-hub,https://www.unsdsn-ne.org/wp-content/uploads/2020/08/sdgstoday_cover.png +184,SDGs Today,Production and use of real-time and timely geo-referenced data for the SDGs,Disaster Risk Management,Situational awareness/actionable information gathering,production,recovery,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,United Nations Sustainable Development Solutions Network,UNDP,Spatial Data,"SDG 13, SDG 15, SDG 16",2023,https://sdgstoday.org/dataset-hub,https://www.unsdsn-ne.org/wp-content/uploads/2020/08/sdgstoday_cover.png +185,Aqueduct Global Flood Risk Maps,"Provides current and future river flood risk estimates in urban damage, affected GDP, and affected population by country, river basin, and state","Disaster Risk Management, Early Warning ",Situational awareness/actionable information gathering,production,preparedness,Web Mapping,Various,Global,Global,Global,World Resources Institute,None,Spatial Data,SDG 13,2015,https://www.wri.org/data/aqueduct-global-flood-risk-maps,https://www.wri.org/sites/default/files/wri-40-anniversary-logo.svg +186,Aqueduct Global Flood Risk Maps,"Web Mapping provides current and future river flood risk estimates in urban damage, affected GDP, and affected population by country, river basin, and state","Disaster Risk Management, Early Warning ",Situational awareness/actionable information gathering,production,response,Web Mapping,Various,Global,Global,Global,World Resources Institute,None,Spatial Data,SDG 13,2016,https://www.wri.org/data/aqueduct-global-flood-risk-maps,https://www.wri.org/sites/default/files/wri-40-anniversary-logo.svg +187,Aqueduct Global Flood Risk Maps,"Web Mapping provides current and future river flood risk estimates in urban damage, affected GDP, and affected population by country, river basin, and state","Disaster Risk Management, Early Warning ",Situational awareness/actionable information gathering,production,mitigation,Web Mapping,Various,Global,Global,Global,World Resources Institute,None,Spatial Data,SDG 13,2017,https://www.wri.org/data/aqueduct-global-flood-risk-maps,https://www.wri.org/sites/default/files/wri-40-anniversary-logo.svg +188,Aqueduct Global Flood Risk Maps,"Web Mapping provides current and future river flood risk estimates in urban damage, affected GDP, and affected population by country, river basin, and state","Disaster Risk Management, Early Warning ",Situational awareness/actionable information gathering,production,recovery,Web Mapping,Floods,Global,Global,Global,World Resources Institute,None,Spatial Data,SDG 13,2018,https://www.wri.org/data/aqueduct-global-flood-risk-maps,https://www.wri.org/sites/default/files/wri-40-anniversary-logo.svg +189,Bioshi,"Monitoring and warning system against illegal logging. Captures the deforestation rate by satellite images, together with acoustic sensors to identify events that threaten the ecosystem","Climate, Disaster Risk Reduction",Situational awareness/actionable information gathering,prototype,preparedness,Geographical Information Systems,Floods,Americas,Central America,Panama,NASA,None,"Spatial Data, Sensor Data",SDG 15,2021,https://bit.ly/simact-bioshi,"https://static.wixstatic.com/media/5e609a_04a87deb42be4243b65bad54d0a87a04~mv2.jpg/v1/fill/w_460,h_295,fp_0.50_0.50,q_90,enc_auto/5e609a_04a87deb42be4243b65bad54d0a87a04~mv2.jpg" +190,Bioshi,"Monitoring and warning system against illegal logging. Captures the deforestation rate by satellite images, together with acoustic sensors to identify events that threaten the ecosystem","Climate, Disaster Risk Reduction",Situational awareness/actionable information gathering,prototype,mitigation,Geographical Information Systems,Floods,Americas,Central America,Panama,NASA,None,"Spatial Data, Sensor Data",SDG 15,2021,https://bit.ly/simact-bioshi,"https://static.wixstatic.com/media/5e609a_04a87deb42be4243b65bad54d0a87a04~mv2.jpg/v1/fill/w_460,h_295,fp_0.50_0.50,q_90,enc_auto/5e609a_04a87deb42be4243b65bad54d0a87a04~mv2.jpg" +191,D.U.Q. Method,Analysis system to to measure the impact of decisions on forest fires,Disaster Risk Management,Disaster Relief logistic/resource allocation ,prototype,preparedness,"Geographical Information Systems, Data Collection, Data Analysis",Wildfires,Americas,South America,Argentina,NASA,None,Spatial Data,SDG 15,2021,https://github.com/Maximiliano-Sotar/NASA-SPACE-APPS,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +192,D.U.Q. Method,Analysis system to to measure the impact of decisions on forest fires,Disaster Risk Management,Disaster Relief logistic/resource allocation ,prototype,response,"Geographical Information Systems, Data Collection, Data Analysis",Wildfires,Americas,South America,Argentina,NASA,None,Spatial Data,SDG 15,2022,https://github.com/Maximiliano-Sotar/NASA-SPACE-APPS,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +193,D.U.Q. Method,Analysis system to to measure the impact of decisions on forest fires,Disaster Risk Management,Disaster Relief logistic/resource allocation ,prototype,mitigation,"Geographical Information Systems, Data Collection, Data Analysis",Wildfires,Americas,South America,Argentina,NASA,None,Spatial Data,SDG 15,2023,https://github.com/Maximiliano-Sotar/NASA-SPACE-APPS,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +194,D.U.Q. Method,Analysis system to to measure the impact of decisions on forest fires,Disaster Risk Management,Disaster Relief logistic/resource allocation ,prototype,recovery,"Geographical Information Systems, Data Collection, Data Analysis",Wildfires,Americas,South America,Argentina,NASA,None,Spatial Data,SDG 15,2024,https://github.com/Maximiliano-Sotar/NASA-SPACE-APPS,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +195,NOAA Climate,"Provides scientific data and information about climate science, adaptation, and mitigation",Disaster Risk Management,Situational awareness/actionable information gathering,production,preparedness,"Geographical Information Systems, Data Collection, Data Analysis",Various,Americas,Northern America,United States of America,"Climate Program Office, the National Centers for Environmental Information, the Coastal Services Center, and the Climate Prediction Center",None,Spatial Data,SDG 13,2021,https://www.climate.gov/,https://www.climate.gov/sites/default/files/2022-10/US_outlook_October2022_precipitation_20221001.png +196,Ushahidi Platform,Mapping platform for crowdsource information and reports of crises,Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,preparedness,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,"Bylo Chacon, Ford, Google",None,User Data,SDG 3,2008,https://www.ushahidi.com/,https://www.ushahidi.com/images/images/home-platform-devices.png?_cchid=36ada5fdd05b255880ff4d1392d3f79f +197,Ushahidi Platform,Mapping platform for crowdsource information and reports of crises,Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,response,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,"Bylo Chacon, Ford, Google",None,User Data,SDG 3,2009,https://www.ushahidi.com/,https://www.ushahidi.com/images/images/home-platform-devices.png?_cchid=36ada5fdd05b255880ff4d1392d3f79f +198,Ushahidi Platform,Mapping platform for crowdsource information and reports of crises,Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,mitigation,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,"Bylo Chacon, Ford, Google",None,User Data,SDG 3,2010,https://www.ushahidi.com/,https://www.ushahidi.com/images/images/home-platform-devices.png?_cchid=36ada5fdd05b255880ff4d1392d3f79f +199,Ushahidi Platform,Mapping platform for crowdsource information and reports of crises,Disaster Risk Management,Disaster Relief logistic/resource allocation ,production,recovery,"Artificial Intelligence, Geographical Information Systems",Various,Global,Global,Global,"Bylo Chacon, Ford, Google",None,User Data,SDG 3,2011,https://www.ushahidi.com/,https://www.ushahidi.com/images/images/home-platform-devices.png?_cchid=36ada5fdd05b255880ff4d1392d3f79f +200,WG5 Geo-AI,Interface that maps refugee camps and automatically derive locations and numbers of dwellings; automate the production of flood maps; automate damage and events detection over large geographic areas of interest,Disaster Risk Management,Situational awareness/actionable information gathering,validation,preparedness,"Artificial Intelligence, Computer Vision, Data Collection",Various,Global,Global,Global,"UN Open GIS Initiative, UN Global Pulse, FAO and Politecnico di Milano",UN Open GIS Initiative,Spatial Data,"SDG 13, SDG 16",2020,http://unopengis.org/unopengis/pages/page01.php,https://lh3.googleusercontent.com/arfnQTkOmz2y7QskoxyiU6Do8Z8LApTYgFCAkSQyx7rbJWQdlXlUQKZIPMJFPbBWZj2VZK9gKBoOVm6HdPZ8YiupM1eC8l6iSKKDIzcHMmFiHCVhfTaNsWzo0fYGbjJCekVvSlRY +201,WG5 Geo-AI,Interface that maps refugee camps and automatically derive locations and numbers of dwellings; automate the production of flood maps; automate damage and events detection over large geographic areas of interest,Disaster Risk Management,Situational awareness/actionable information gathering,validation,response,"Artificial Intelligence, Computer Vision, Data Collection",Various,Global,Global,Global,"UN Open GIS Initiative, UN Global Pulse, FAO and Politecnico di Milano",UN Open GIS Initiative,Spatial Data,"SDG 13, SDG 16",2021,http://unopengis.org/unopengis/pages/page01.php,https://lh3.googleusercontent.com/arfnQTkOmz2y7QskoxyiU6Do8Z8LApTYgFCAkSQyx7rbJWQdlXlUQKZIPMJFPbBWZj2VZK9gKBoOVm6HdPZ8YiupM1eC8l6iSKKDIzcHMmFiHCVhfTaNsWzo0fYGbjJCekVvSlRY +202,WG5 Geo-AI,Interface that maps refugee camps and automatically derive locations and numbers of dwellings; automate the production of flood maps; automate damage and events detection over large geographic areas of interest,Disaster Risk Management,Situational awareness/actionable information gathering,validation,mitigation,"Artificial Intelligence, Computer Vision, Data Collection",Various,Global,Global,Global,"UN Open GIS Initiative, UN Global Pulse, FAO and Politecnico di Milano",UN Open GIS Initiative,Spatial Data,"SDG 13, SDG 16",2022,http://unopengis.org/unopengis/pages/page01.php,https://lh3.googleusercontent.com/arfnQTkOmz2y7QskoxyiU6Do8Z8LApTYgFCAkSQyx7rbJWQdlXlUQKZIPMJFPbBWZj2VZK9gKBoOVm6HdPZ8YiupM1eC8l6iSKKDIzcHMmFiHCVhfTaNsWzo0fYGbjJCekVvSlRY +203,WG5 Geo-AI,Interface that maps refugee camps and automatically derive locations and numbers of dwellings; automate the production of flood maps; automate damage and events detection over large geographic areas of interest,Disaster Risk Management,Situational awareness/actionable information gathering,validation,recovery,"Artificial Intelligence, Computer Vision, Data Collection",Various,Global,Global,Global,"UN Open GIS Initiative, UN Global Pulse, FAO and Politecnico di Milano",UN Open GIS Initiative,Spatial Data,"SDG 13, SDG 16",2023,http://unopengis.org/unopengis/pages/page01.php,https://lh3.googleusercontent.com/arfnQTkOmz2y7QskoxyiU6Do8Z8LApTYgFCAkSQyx7rbJWQdlXlUQKZIPMJFPbBWZj2VZK9gKBoOVm6HdPZ8YiupM1eC8l6iSKKDIzcHMmFiHCVhfTaNsWzo0fYGbjJCekVvSlRY +204,Monsoon Overflow,"The mobile app collects data including geotagged image from the public, about critical infrastructure damage caused due to flood; assesses the extent of damage in Critical Infrastructure using satellite pre flood and during/post flood images",Disaster Management,Damage and loss assessment,prototype,response,Mobile App,Floods,Global,Global,Global,NASA,None,"Spatial Data, User Data",SDG 3,2020,https://pranavspandya.users.earthengine.app/view/sentinel-flood-damage-assessement,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +205,Monsoon Overflow,"The mobile app collects data including geotagged image from the public, about critical infrastructure damage caused due to flood; assesses the extent of damage in Critical Infrastructure using satellite pre flood and during/post flood images",Disaster Management,Damage and loss assessment,prototype,mitigation,Mobile App,Floods,Global,Global,Global,NASA,None,"Spatial Data, User Data",SDG 3,2021,https://pranavspandya.users.earthengine.app/view/sentinel-flood-damage-assessement,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +206,HYDRA,Web map visualization tool that integrates data from various sources to help humanitarian aid workers to identify the most vulnerable populations to floods,Disaster Mitigation,Disaster Relief logistic/resource allocation ,idea,preparedness,Web Mapping,Floods,Global ,Global,Global,NASA,None,"Spatial Data, Big Data",SDG 13,2019,https://www.figma.com/proto/usED1FRZPmXHB6e7WkD9h6/Untitled?node-id=1%3A86&viewport=-184%2C434%2C0.18431346118450165&scaling=min-zoom,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +207,HYDRA,Web map visualization tool that integrates data from various sources to help humanitarian aid workers to identify the most vulnerable populations to floods,Disaster Mitigation,Disaster Relief logistic/resource allocation ,idea,response,Web Mapping,Floods,Global ,Global,Global,NASA,None,"Spatial Data, Big Data",SDG 13,2020,https://www.figma.com/proto/usED1FRZPmXHB6e7WkD9h6/Untitled?node-id=1%3A86&viewport=-184%2C434%2C0.18431346118450165&scaling=min-zoom,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +208,HYDRA,Web map visualization tool that integrates data from various sources to help humanitarian aid workers to identify the most vulnerable populations to floods,Disaster Mitigation,Disaster Relief logistic/resource allocation ,idea,mitigation,Web Mapping,Floods,Global ,Global,Global,NASA,None,"Spatial Data, Big Data",SDG 13,2021,https://www.figma.com/proto/usED1FRZPmXHB6e7WkD9h6/Untitled?node-id=1%3A86&viewport=-184%2C434%2C0.18431346118450165&scaling=min-zoom,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +209,HYDRA,Web map visualization tool that integrates data from various sources to help humanitarian aid workers to identify the most vulnerable populations to floods,Disaster Mitigation,Disaster Relief logistic/resource allocation ,idea,recovery,Web Mapping,Floods,Global ,Global,Global,NASA,None,"Spatial Data, Big Data",SDG 13,2022,https://www.figma.com/proto/usED1FRZPmXHB6e7WkD9h6/Untitled?node-id=1%3A86&viewport=-184%2C434%2C0.18431346118450165&scaling=min-zoom,https://upload.wikimedia.org/wikipedia/commons/a/a0/Space_Apps_Logo_White.png +210,Interactive map of the house: test your knowledge of safety,"The service is primarily intended for young parents and those who are just planning to become them. Using the map, you can go room by room and see what potentially dangerous areas for the baby are in the house. In just 20-30 minutes, you can better understand what to do to prevent blows, bruises, falls, poisoning, burns at home. In 3D format, moving the mouse, you can view all the corners in the hallway, living room, nursery, bedroom, kitchen, bathroom and yard and, by clicking on the warning icons in each of the listed locations, read a brief instruction with precautions and ways to solve the problem if it occurs",Risk reduction,Situational awareness,production,preparedness,Web-based app,Various,Europe,Eastern Europe,Belarus,"WHO, UNICEF, UNFPA, Ministry of Health",UNDP Belarus,none,SDG 3,2020,https://u9.by/eb,https://family.by/uploads/posts/2019-07/thumbs/1562677264_karta-bezopasnyy-dom-2.png +211,Online course MamaPro #expectingAchild,"MAMA PRO will help to effectively plan pregnancy, prepare in advance for everything that awaits a family, and help to cope with possible difficulties. With MAMA PRO, women will learn what to do during pregnancy, how to reduce the risks of pregnancy complications, what to consider, and how to prepare for safe childbirth. In MAMA PRO, women can learn everything about postpartum recovery",Risk reduction,Situational awareness,production,preparedness,Web-based app,Various,Europe,Eastern Europe,Belarus,Ministry of Health,UNFPA Belarus,none,SDG 3,2020,https://u9.by/fb,https://image.thum.io/get/maxAge/12/width/700/https://mamapro.health/ +212,Green Map of Belarus,"Green Map Portal is the winner of 2017 World Summit on the Information Society (WSIS) Prizes contest. Greenmap is a resource which accumulates information about important environmental objects, and namely, toxic waste disposal points. This allows local population to safely recycle toxic waste, and avoid factors of poisoning of the body and the environment",User Data,Situational awareness,production,preparedness,Big data,Various,Europe,Eastern Europe,Belarus,Ministry of Natural Resources and Environmental Protection,UNDP Belarus,none,SDG 11,2017,https://u9.by/kb,https://poshyk.info/wp-content/uploads/2017/03/green-map-belsrus.jpg.webp \ No newline at end of file diff --git a/src/assets/csv/technology_radar_dataset_updated_v9.csv b/src/assets/csv/technology_radar_dataset_updated_v9.csv index 9d7504e8..a5ac8eda 100644 --- a/src/assets/csv/technology_radar_dataset_updated_v9.csv +++ b/src/assets/csv/technology_radar_dataset_updated_v9.csv @@ -6,7 +6,6 @@ Unnamed: 0,Ideas/Concepts/Examples,Description,Theme,Use Case,Status/Maturity,Di 4,Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters,"After the massive earthquake struck Central Sulawesi, Indonesia in September 2018, through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific region can be used to support evidence-based decision making. From modelling population displacement to understanding changes in citizens behaviour after natural disasters, the research has yielded actionable insights for policymakers and a wealth of experiential knowledge.",Disaster Risk Management ,Disaster Relief logistic/resource allocation ,prototype,response,"Data Collection, Data Analysis, Cyber Physical Systems, Geographical Information Systems",Earthquakes,Asia,South-eastern Asia,Indonesia," Digicel, International Organisation for Migration (IOM)",UN Pulse Lab Jakarta,"Mobile Network Data, Spatial Data",SDG 9,2019,https://www.unglobalpulse.org/2019/12/understanding-population-movement-after-the-2018-central-sulawesi-natural-disasters/,https://www.unglobalpulse.org/wp-content/uploads/2019/12/PLJ-Palu-visualization.webp 5,Understanding Population Movement After the 2018 Central Sulawesi Natural Disasters,"After the massive earthquake struck Central Sulawesi, Indonesia in September 2018, through a shared value partnership with mobile telecom Digicel, Pulse Lab Jakarta (PLJ) over the past few years has investigated how pseudonymised mobile network data from subscribers in the Pacific region can be used to support evidence-based decision making. From modelling population displacement to understanding changes in citizens behaviour after natural disasters, the research has yielded actionable insights for policymakers and a wealth of experiential knowledge.",Disaster Risk Management ,Disaster Relief logistic/resource allocation ,prototype,mitigation,"Data Collection, Data Analysis, Cyber Physical Systems, Geographical Information Systems",Earthquakes,Asia,South-eastern Asia,Indonesia," Digicel, International Organisation for Migration (IOM)",UN Pulse Lab Jakarta,"Mobile Network Data, Spatial Data",SDG 9,2019,https://www.unglobalpulse.org/2019/12/understanding-population-movement-after-the-2018-central-sulawesi-natural-disasters/,https://www.unglobalpulse.org/wp-content/uploads/2019/12/PLJ-Palu-visualization.webp 6,Quantifying Real-Time Rainfall Intensity in Bosnia and Herzegovina,"Accurate, spatially dense real-time rainfall measurements are essential for water management of any region, which in turn impacts agriculture, transportation and mobility, energy and weather hazards. After the war in Bosnia and Herzegovina, only 100 out of 500 rainfall stations have remained operational, hampering its spatial hydrological data collection. The project employs Big Data and Machine Learning, to fill in the missing gap by turning CCTV footage and videos obtained by smartphones into a real-time rainfall observation, allowing for accurately geo-referenced and cost-effective data collection. All the information collected is then available on the web portal and enable the authorities to be better prepared for meteorologically and hydrologically based hazards and associated risks for the population and to lead to a better-informed policymaking.","Environment, Agriculture",Situational awareness/actionable information gathering,prototype,recovery,"Data Collection, Big Data, Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Cloud Computing",Climate Change,Europe,Southern Europe,Bosnia and Herzegovina ,"Aqua Procon s.r.o., H2I Balkans D.O.O. Sarajevo","UNDP, UNDP Bosnia and Herzegovina",Spatial Data,SDG 13,2020,https://undp.cz/portfolio-item/quantifying-real-time-rainfall-intensity-in-bosnia-and-herzegovina/,https://undp.cz/wp-content/uploads/2020/04/7.jpg -7,"Measuring, Mapping and Forecasting Air Pollution","With increasing traffic and worsening global air pollution Belarus is facing the challenge of worsening air quality. Belarus UNDP partnered with Polish tech start-up Airly to implement an innovative solution that will allow constant monitoring of the situation in order to help prepare for possible threats and even take actions to prevent them. Airly sensors collect the data on air quality, and by using machine learning technology, Airly also provides reliable forecasts, which as a whole is a very powerful tool in the fight against air pollution and its effects.","Environment, Pollution",Situational awareness/actionable information gathering,production,mitigation ,"Data Collection, Data Analysis, Artificial Intelligence, Machine Learning, Cyber Physical Systems",Air Pollution,Europe,Eastern Europe,Belarus,"Airly, VidaLink, Ministry of Foreign Affairs of the Republic of Poland.","UNDP, UNDP Polish Challenge Fund, UNDP Belarus",Sensor Data,"SDG 3, SDG 13, SDG 15",2021,https://airly.eu/en/blog/exchange-of-air-pollution-monitoring-and-forecasting-solutions-using-machine-learning-technologies-and-analytics/,https://airly.org/en/static/d5888dee5c13eec10f5ec81e1b5bc234/6dbf1/UNDP-image-1.jpg 8,Computer Vision Flood Forecasting using Remotely Sensed Data,"Regional flood forecasting and modeling is a big problem in the hydrological sciences. The issue is even more pronounced in Bosnia and Herzegovina due to inadequate hydro meteorological monitoring network, where only 100 out of 500 rainfall stations remained operational after the war. The project solicits the latest technology from different fields: Remote Sensing to acquire Earth Observations (EO) data, Computer Vision to process these data and Machine Learning (ML) to develop models in order to relate meteorological and other EO data with flooding. The approach is deployed to address one of the most pressing problems B&H currently faces increasingly frequent occurrence of floods, and shall result in accurate models of rainfal runoff behavior's, which would help Water Agencies and the Federal Hydro Meteorological Institute with flood prediction and management.",Sustainable management of natural resources,Disaster assessment/prediction and early warning systems,production,preparedness,"Data Collection, Artificial Intelligence, Machine Learning, Computer Vision, Remote Sensing, Mobile App",Floods,Europe,"Eastern Europe, Southern Europe","Bosnia and Herzegovina, Czechia"," GISAT, H2I Balkans ","UNDP, UNDP Bosnia and Herzegovina",Spatial Data,SDG 13,2020,https://undp.cz/portfolio-item/computer-vision-flood-forecasting-using-remotely-sensed-data/,https://undp.cz/wp-content/uploads/2020/09/gisat.jpg 9,C Bot ChatBot ,"AI-based chatboat assists Georgian businesses and the more than 125,000 residents of Rustavi by keeping them informed about city services, new regulations, and steps to take to cope with coronavirus challenges without leaving their homes.",Pandemic/Epidemic,Emergency communications,production,preparedness,"Chatbot, Artificial Intelligence, Natural Language Processing",Pandemic/Epidemic,Asia,Western Asia,Georgia,"Rustavi Innovations Hub, Rustavi Municipality, EU4Business","UNDP, UNDP Georgia",Text Data,SDG 3,2020,https://eu4georgia.ge/c-bot-chatbot-with-ai-keeps-georgian-business-informed-during-pandemic/,https://eu4georgia.eu/wp-content/themes/yootheme/cache/Banner_-01-729de3fc.jpeg 10,C Bot ChatBot ,"AI-based chatboat assists Georgian businesses and the more than 125,000 residents of Rustavi by keeping them informed about city services, new regulations, and steps to take to cope with coronavirus challenges without leaving their homes.",Pandemic/Epidemic,Emergency communications,production,recovery,"Chatbot, Artificial Intelligence, Natural Language Processing",Pandemic/Epidemic,Asia,Western Asia,Georgia,"Rustavi Innovations Hub, Rustavi Municipality, EU4Business","UNDP, UNDP Georgia",Text Data,SDG 3,2020,https://eu4georgia.ge/c-bot-chatbot-with-ai-keeps-georgian-business-informed-during-pandemic/,https://eu4georgia.eu/wp-content/themes/yootheme/cache/Banner_-01-729de3fc.jpeg diff --git a/src/helpers/ProjectFormFields.tsx b/src/helpers/ProjectFormFields.tsx index 062cc1f5..f7f704c9 100644 --- a/src/helpers/ProjectFormFields.tsx +++ b/src/helpers/ProjectFormFields.tsx @@ -58,7 +58,7 @@ export const ProjectFormFields: React.FC = ({ name={label} value={projectFormValues[label as keyof ProjectFieldValues]} onChange={handleChange} - data-testId={`field-${label}`} + data-testId={`field-${String(label)}`} /> ); case 'textArea': @@ -69,7 +69,7 @@ export const ProjectFormFields: React.FC = ({ name={label} value={projectFormValues[label as keyof ProjectFieldValues]} size='sm' - data-testId={`field-${label}`} + data-testId={`field-${String(label)}`} /> ); @@ -81,7 +81,7 @@ export const ProjectFormFields: React.FC = ({ name={label} value={projectFormValues[label as keyof ProjectFieldValues]} onChange={handleChange} - data-testId={`field-${label}`} + data-testId={`field-${String(label)}`} > {(options || []).map((option: any, idx: any) => (