Jason Ludwig is a PhD candidate in the Department of Science & Technology Studies at Cornell University. His dissertation, “Automating Blackness: Race, Computing, and Politics in the Postwar United States,” examines how government officials, computer experts, and activists sought to advance racial equality through computing in the postwar United States, and how this history can help advance understanding of digitized statecraft and algorithmic discrimination. His interests span histories of computing, race science, and surveillance, as well as the possibilities for a radical politics of science and technology. His research has been supported by the National Science Foundation, the Social Science Research Council, and Cornell University’s College of Arts and Sciences.

Ludwig is a 2023 Data Fluencies Dissertation Research grantee.