Big Data Climate Challenge Winners:
- Global Forest Watch (GFW) is a dynamic forest monitoring system from the World Resources Institute and partners: GFW empowers people to manage forests by combining satellite imaging, open data and crowdsourcing for open access to timely information about forests by governments, companies, NGOs and the public.
- Climate-smart, site-specific agriculture decision-making tool for Colombian rice farmers by the Site-Specific Agriculture Big Data Team at the International Center for Tropical Agriculture (CIAT): Using harvest monitoring data with climate data and seasonal forecasts, farming recommendations for rice growers are generated as a first step toward a system to support decision-making for farmers.
“Projects to Watch”:
- “Using Big Data and Google Directions to show CO2 Emissions from Transport” by researchers at University of Skopje Faculty of Computer Science and Engineering and UNDP Macedonia (project site)
- “Development under Climate Change (DUCC),” an application of the Systematic Analysis of Climate Resilient Development (SACRED) framework to quantify economic impacts of climate change in South Africa submitted by United Nations University WIDER in Finland
- “Data and Computational Tools to Build Low-Carbon, Sustainable Energy Systems” by a research team at Renewable and Appropriate Energy Lab at University of California Berkeley with projects implemented in United States, South America and Asia
- “Megacities Carbon Project” by a research team from NASA Jet Propulsion Laboratory (JPL), National Institute of Standards and Technology (NIST), Arizona State University, Laboratoire des Sciences du Climat et de l’Environnement (LSCE), Resources for the Future, National Oceanic and Atmospheric Administration (NOAA), California Institute of Technology, Scripps Institution of Oceanography, and the California Air Resources Board (project site)
Faizal, our humanitarian data advisor and one of the co-authors of this piece, often recounts what one of his supervisors said to him from his