ResilienceGeospatial dataMachine learning
September 20, 2019 → December 20, 2020
Stanford, NTU, ETH Zurich, Kathmandu Living Labs
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 disaster
Post-Disaster Informatics: a technological approach to recovery planning
[link] Rapid integration of post-disaster data: a basis to estimate impact for recovery planning
Building Transparent, Human-Centric Tools to Rapidly Assess Post-Disaster Impacts and NeedsRelated to Code (Project)

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.
Content
Big data for whom? Data-driven estimates to prioritize the recovery needs of vulnerable populations after a disaster
Beyond building damage: modeling post-disaster need
Supporting equitable disaster recovery through mapping and integration of social vulnerability into post-disaster impact assessments
Building Transparent, Human-Centric Tools to Rapidly Assess Post-Disaster Impacts and Needs
July 13, 2020 → July 17, 2020
[link] Rapid integration of post-disaster data: a basis to estimate impact for recovery planning
Post-Disaster Informatics: a technological approach to recovery planning
July 15, 2019 → July 19, 2019