Prashant Garg
Economist working on science, innovation, production, and media using machine learning, causal inference, and network science.
Hi, I'm Prashant Garg, an economist working on science, innovation, production, and media using machine learning, causal inference, and network science. I am currently a Research Associate at the University of Cambridge and an Associate Fellow at INET Oxford. I recently completed my PhD in Economics at Imperial College London, and I will join Bocconi University as a Postdoctoral Researcher in September 2026.
prashantgargib@gmail.com CV CV (PDF) Google Scholar GitHub
Publications
- Political Expression of Academics on Twitter (with Thiemo Fetzer)
Paper (open access)Project siteTwitter thread Details - Local Decline and Populism (with Thiemo Fetzer, Jacob Edenhofer)
Paper (open access)Twitter thread Details
Forthcoming
Revise & Resubmit
Working papers
- Global Automation Atlas (with Tommaso Crosta, Jasmin Baier)
Live paperInteractive explorer Details - Causal Claims in Economics (with Thiemo Fetzer)
PaperProject siteOpen data Details - What Should Economics Ask Next?
Live paperFrontier Graph Details - Politicized Scientists: Credibility Cost of Political Expression on Twitter (with Eleonora Alabrese, Francesco Capozza)
PreprintCESifo working paperTwitter thread Details - AI-Generated Production Networks: Measurement and Applications to Global Trade (with Thiemo Fetzer, Peter John Lambert, Bennet Feld)
Paper (CEPR DP19708)Interactive siteTwitter thread Details - Simple Contagion Drives Population-Scale Platform Migration (with Dorian Quelle, Frederic Denker, Alexandre Bovet)
Paper Details - (How) Do Health Shocks Reallocate Research Direction? (with Hongyu Zhou, Thiemo Fetzer)
Paper (CEPR DP21230) Details
Essays
- Mapping Bob Dylan’s Mind
Aeon essayTechnical paperTwitter thread Details
Open data
- Causal Claims in Economics — claim graphs — Evidence-annotated knowledge graph of ~45,000 economics papers (1980–2023): standardized concepts as nodes, stated causal and non-causal relationships as edges. causal.claimsData & code (GitHub)
- AIPNET — product-level input–output data — AI-generated production network over 5,000 HS products: directed input–output edges plus measures of product importance, with full data download. aipnet.io
- Academic Expression — academics on social media — Data on the political stance and expression of 100,000+ academics (2016–2022), linking social media content to academic records. academicexpression.online
Education
- PhD in Economics (incl. MRes, Distinction), Imperial College London
- BSc Economics, Cardiff University
- International Baccalaureate, GD Goenka World School, Gurgaon
Awards
- Best Student Paper, NetSciSci2025
- Helen Robinson Memorial Prize, Cardiff University
Affiliations
- Research Associate, University of Cambridge
- Associate Fellow, INET Oxford
- PhD Economics, Imperial College London (past)
- Postdoctoral Researcher (from Sept 2026), Bocconi University (incoming)
Press & coverage (38)
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