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AidData is a recognized leader in geospatial impact evaluations (GIEs). Over the last ten years, we have led a wide-ranging, global effort to use causal inference tools and subnationally georeferenced data to measure program impacts. GIE methods are especially useful and cost-effective in under-evaluated sectors and settings where measuring outcomes over space and time is challenging. AidData has deployed GIEs to evaluate infrastructure, public health, land rights, irrigation programs, and more. We also use artificial intelligence and machine learning tools to build next-generation development outcome measures of crop productivity, food security, and local resilience to climate change. Finally, AidData’s free spatial data integration and extraction tool, GeoQuery, lowers the barriers to geospatial analysis by helping users more easily measure local conditions in data-poor environments.