Notes on the Future of Quantitative Social Science
Preface
Overview
AI…
Motivation
Chapters
- Alexander, Monica, “Reflections on using AI tools to aid in quantitative social science research”
- Alexander, Rohan, “Evaluation rules everything around me”
- Argyle, Lisa P., Ethan C. Busby, Joshua R. Gubler, “The Science of Quantitative Social Science in an Age of Artificial Intelligence”
- Békés, Gabor, “Teaching data analysis with agentic AI for social science students”
- Briggs, Ryan, “As AI Lowers the Cost of Research, Adjudication and Attention Will Become the Bottlenecks”
- Brodeur, Abel, Bruno Barbarioli, “The Shifting Production Function: AI, Reproducibility, and the Future of Quantitative Social Science”
- Burnham, Mike, “All Models Are Wrong, But Some Are Trending”
- Cochrane, Chris, and Mike Cowen, “Research Transparency and Collaboration in the Era of Generative AI Requires Open, Clean Code”
- Crabtree, Charles, Valentina Gonzalez-Rostani, and Jae Yeon Kim, “Failing Faster, Learning Better: Agentic AI and Empirical Social Science Research”
- Davidson, Thomas, “A relational approach to agentic AI in social science research: Projects, roles, and tasks”
- Eads, Alicia, and Fedor Dokshin, “Fault Lines: Inequality and the Future of Quantitative Social Science in the Age of Artificial Intelligence”
- Goldstein, Josh, “TBD”
- González-Bailón, Sandra, “TBD”
- Heiss, Andrew, “AI for Me, Not (Yet) for Thee? Desirable Difficulties and Deliberate Friction with LLMs”
- Munger, Kevin, “AI Allows More Diversity in the Forms of Social Science”
- Musulan, Andreea Jean-François Godbout, “Epistemic Standards and the Next Generation of Scholars”
- Paci, Simone, “With Great Powers: A Practical Guide to Agentic AI for Social Science Research”
- Sachdeva, Pratik, and Dennis Feehan, “Agentic AI and the Thawing of Frozen Data in Social Science”
- Sekeres, Gabriel, “Optimal Editorial Screening Under Cheap Testing”
- Vilhuber, Lars, “Curation and Reproducibility in an Artificial Intelligence World: Challenges and Solutions for Scientific Research”
- Vivalt, Eva, “On Benchmarks”
- Wu, Patrick, “Computational Social Scientists Need to Care About the Competitiveness of the AI Market”