About the Grantee
Grants to this Grantee
for the Open Algorithms (OPAL) project
Flowminder specializes in the use of big data for public policy and humanitarian purposes. The Open Algorithms (OPAL) program aims to spur the use of mobile network operator data for public-good purposes in a privacy preserving manner. The overall goal of the program is to enable increased ethically sound access to and use of these data, particularly in low-and middle-income countries, to bring about improvements in population well-being through better response to disasters, public resource allocation, infrastructure planning, and accelerated achievement of the Sustainable Development Goals. This grant supports the Evidence-Informed Policymaking goal that governments use new and traditional forms of data to improve decision making, policies, and programs.
for mobile data knowledge center
Flowminder Foundation works with governments as well as intergovernmental and nongovernmental organizations to aggregate and analyze anonymous mobile operator data, satellite data, and household survey data to help improve public health and welfare in low- and middle- income countries. With this grant, Flowminder will build a new mobile data knowledge center, an online platform that serves as a central repository for technical, scientific, contextual, and practical knowledge about the analysis of anonymized mobile operator data for humanitarian and development applications. The center will be an especially timely contribution to the field, as Flowminder is quickly gathering important lessons about working with governments to use cell phone data in the context of the COVID-19 response. This program will contribute toward making mobile operator data analysis more transparent and accessible to parties in the humanitarian and development sectors, and to the Evidence-Informed Policymaking strategy goal of making new data sources and analysis accessible for use by government officials in low- and middle- income countries.