This is a summary of a series of companion videos and podcasts that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Markus Luczak-Roesch on Navigating a Heterogenous Data Landscape and Legislating for Big Data
This is the third podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Marion Dumas on “Democratic Data,” Crowdsourcing, and Opportunities and Pitfalls of Big Data
This is the fourth podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Patrick Vinck on Data Breadcrumbs Who Should Get Involved, and Kobo Toolbox
This is the first podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Frederike Otto & Mamun Rashid on CPDN, Climate Modeling, and Extreme Weather
This is the sixth podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Serge Guillas on Tsunami Hazard Systems in India, Local Action, & Uncertainties
This is the seventh podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Silke Roth on Crowdsourcing, Digital Inequalities, and Combining Cultural Knowledge with Big Data
This is the fifth podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Mark Iliffe on Participatory Geography, Flood Mapping, & Private Enterprise vs. Government Action
This is the second podcast in a series of companion pieces that offer insights from the DfID synthesis report, “Big Data for Climate Change and Disaster Resilience.”
Unevenly Distributed Resilience
This is the fourth in a series of companion pieces that offer insights from the synthesis report. The authors of the series attempt to go “beyond the buzz” to lay out what we actually know about Big Data’s existing utility for disaster science and for building practical resilience.
Leveraging the Crowd: How People can Contribute to Disaster Management
This is the third in a series of companion pieces that offer insights from the synthesis report. The authors of the series attempt to go “beyond the buzz” to lay out what we actually know about Big Data’s existing utility for disaster science and for building practical resilience.
The Real Promise of Big Data: Seeing Like a State and Like a Citizen
This is the second in a series of companion pieces that offer insights from the synthesis report. The authors of the series attempt to go “beyond the buzz” to lay out what we actually know about Big Data’s existing utility for disaster science and for building practical resilience.
Using Big Data to Detect and Predict Natural Hazards Better and Faster: Lessons Learned with Hurricanes, Earthquakes, Floods
This is the first in a series of companion pieces that offer insights from a synthesis report evaluating the opportunities, challenges and required steps for leveraging the new ecosystem of Big Data and its potential applications and implications for climate change and disaster resilience, published by Data-Pop Alliance, with funding from the UK’s Department for International Development (DfID). The authors of the series attempt to go “beyond the buzz” to lay out what we actually know about Big Data’s existing utility for disaster science and for building practical resilience.