Big Data for Resilience
Big Data is dramatically changing the way in which data is collected and processed.
It offers a new angle for development practitioners to observe, analyze and use large-scale evidence related to the impacts of shocks and stressors over time, and to inform resilience-building processes.
The rapid development and adoption of Big Data present new challenges and opportunities for resilience programming. The massive amount of data being collected both passively and opportunistically through technology requires resilience practitioners to rethink key questions that arise from the design, implementation, monitoring and evaluation of projects.
The main purpose of the Big Data for Resilience initiative is to help bridge the gap between Big Data and resilience programming. The initiative applies a new analytical lens to understand the role of Big Data in resilience building. Through the experiences of different international organizations, the initiative explores the limitations, risks and opportunities of using Big Data to build resilience, and identifies key implications for development practitioners and decision makers.
High-tech data needed to stop sewage overflowsFinancial sector technology could help as cities struggle with waste. Read More
Big Data for ResilienceSummary of a recent event looking at the links between Big Data, resilience and achieving long-term development goals, and the implications for practitioners, policy-makers and researchers. Read More
Emerging Stories of Big Data for Resilience Building: Dar Ramani HuriaIn the unplanned and informal settlements that abound in Dar es Salaam, flooding causes heavy losses in livelihoods and infrastructure. What does Big Data have to do with this? Read More
Big Data for Resilience StorybookThe Big Data for Resilience Storybook explores the links between Big Data and resilience building through the experiences of seven international organizations. Read More