Tags
ResilienceGeospatial dataMachine learning
Dates
September 20, 2019 → December 20, 2020
Organizations
Stanford, NTU, ETH Zurich, Kathmandu Living Labs
Publications
Supporting equitable disaster recovery through mapping and integration of social vulnerability into post-disaster impact assessments
Beyond building damage: modeling post-disaster need
Informing Equitable Disaster Recovery: More than Just Economic Losses
Big data for whom? Data-driven estimates to prioritize the recovery needs of vulnerable populations after a disasterPresentations
![[link] Rapid integration of post-disaster data: a basis to estimate impact for recovery planning](https://images.spr.so/cdn-cgi/imagedelivery/j42No7y-dcokJuNgXeA0ig/5ff55d4e-f33f-41fa-802c-d89e146ae054/conference/w=3840,quality=90,fit=scale-down)
software
Related to Code (Project)
Students
This project, Supporting Equitable Disaster Recovery Through Mapping (Nepal), submitted in response to the 2017 call for proposals by the World Bank’s Development Data Group (DECDG) and the Global Partnership for Sustainable Development Data (GPSDD), is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom's Department for International Development (DFID), the Government of Korea, and the Department of Foreign Affairs and Trade of Ireland.
