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  • Big data for resilience storybook: experiences integrating big data into resilience programming
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Big data for resilience storybook: experiences integrating big data into resilience programming

Source(s):  International Institute for Sustainable Development (IISD)

Aimed at an audience of resilience and development practitioners, this document offers diverse experiences and practice-based recommendations to leverage Big Data’s potential and address its risks as part of efforts to build resilience. The Storybook is a collaborative initiative that features case studies of seven international organizations working at the intersection of Big Data and resilience in vulnerable settings:

  • A Novel Take on Resilience Building: Big Data’s Role in Freshwater Ecosystems – International Institute for Sustainable Development (IISD) Experimental Lakes Area (ELA)
  • Enhancing Resilience to Peatland Fire and Haze Hazards: Haze Gazer – United Nations Global Pulse, Pulse Lab Jakarta.
  • Strengthening Urban Resilience Through Community-based Mapping: Dar Ramani Huria – World Bank, funded by the UK Department for International Development (DFID) in partnership with Humanitarian OpenStreetMap Team, Tanzania Red Cross, Ardhi University, and the City of Dar es Salaam.
  • Informing Resilience Pathways: The Resilience Atlas – Conservation International.
  • Combining Small and Big Data to Enhance Resilience in Malawi – Netherlands Red Cross 510 data initiative and EU European Commission Humanitarian Organization.
  • Repurposing Mobile Technology to Build Resilience: Mongolia’s Advanced Weather Information System (AWI) – Mercy Corps.
  • Unlocking Big Data’s Potential to Strengthen Farmers’ Resilience: The Platform for Big Data in Agriculture – CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
  • VAMPIRE: An Integrated Perspective to Inform Resilience Decision Making – United Nations Global Pulse, Pulse Lab Jakarta.



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  • Big data for resilience storybook: experiences integrating big data into resilience programming
  • Publication date 2018
  • Author(s) Ospina, Angélica V.
  • Number of pages 134 p.

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