Good access to resources and opportunities is essential for sustainable development. Improving access, especially in rural areas, requires useful measures of current access to the locations where these resources and opportunities are found. During the 2020 CGIAR-CSI Community Meeting, Andy Nelson and Rolf de By from ITC/University of Twente, shared some theory on the mapping […]
A new Data Descriptor article published in the Nature Scientific Data describes CGIAR’s effort to downscale global climate projection data and make them more relevant for agricultural research.
CIMMYT staff participate in a R training course to develop capabilities for spatial analysis, automatizing image processing, machine learning, and other approaches for working on large climate data sets.
Juergen Voegele thinks that digital innovations are set to transform a global food system in crisis. These innovations, however, are reliant on large sets of data and public research networks like CGIAR are working to bridge this data gap in collaboration with universities and companies.