The AidData Center for Development Policy
Funded by USAID's Global Development Lab, the AidData Center for Development Policy provides geospatial data and tools that enable the global development community to more effectively target, coordinate, and evaluate aid. The Center is a consortium of five partners: the College of William and Mary, Development Gateway, Brigham Young University, the University of Texas at Austin, and Esri.
Working in partnership with USAID country missions, host governments and civil society groups, the Center pinpoints the precise geographic locations of development projects and creates subnational maps and dashboards that overlay geocoded project data with high-resolution spatial data on poverty, disease, violence, environmental degradation, and governance. These data and tools make it possible to visualize and analyze where funds are going at the subnational level compared to the areas of greatest need and opportunity. You can read more about the Center here.
About the Center
Headquartered at the College of William and Mary in Williamsburg, Virginia, the Center has five main focus areas.
1. Geocoding aid projects
AidData pinpoints the locations of development activities, and design tools to visualize this information and support monitoring of aid distribution and impact.
2. Building an AidData Research Consortium
AidData mobilizes experts across seven thematic areas to analyze development trends using geospatial information and inform evidence-based policy decisions.
3. Boosting government capacity
AidData increases the capacity of governments to capture granular information on their development portfolio and use this to manage development finance flows.
4. Equipping students, faculty, and civil society organizations
AidData provides students with tools and training to help governments and NGOs to map the distribution of development resource flows and monitor results.
5. Developing tools to support research and practice
AidData designs tools for researchers, policymakers, and practitioners to visualize multiple data sources and uncover otherwise difficult-to-observe relationships.
Introducing the Center