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Seth Goodman

AidData Research Scientist

Office: The Hive, Swem Library ground floor, REU Pod
Email: [[smgoodman]]

Biography
Seth designs and develops tools and data infrastructure that improve AidData's capacity to provide and analyze data. He specializes in building data processing and management systems, designing and operationalizing novel research methods, and developing applications that utilize William and Mary's High Performance Computing cluster. Seth developed GeoQuery, AidData’s free spatial data platform, which enables individuals and organizations without significant computing power or data science expertise to freely find and aggregate satellite, economic, health, conflict, and other geospatial data into a single, simple-to-use spreadsheet file. He also supports AidData’s work using machine learning methods to predict development indicators based on satellite and survey observations.
Education

Villanova University
BS and MS in Electrical Engineering

The College of William & Mary
Ph.D. in Computational Geography

Website
GitHub