September 2025 https://arxiv.org/abs/2508.17407 The Potential of Synthetic Twin Agents for Personalized Behavioural Interventions at Scale J. Ustiyanovych, D. Krpan,
September 2025 https://osf.io/preprints/psyarxiv/vs2mk_v3 The next generation of experimental research with LLMs Gary Charness, Brian Jabarian, John A. List
March 2025 https://www.nature.com/articles/s41562-025-02137-1 Social Science Production with LLMs Eric Vansteenberghe
February 2025 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5133210 Linear Representations of Political Perspective Emerge in Large Language Models Junsol Kim, James Evans, Aaron Schein
March 2025 https://arxiv.org/pdf/2503.02080v1 Simulating the Survey of Professional Forecasters Anne Lundgaard Hansen, John J. Horton, Sophia Kazinnik, Daniela Puzzello, Ali Zarifhonarvar
February 2025 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5066286 Generative AI for Economic Research: LLMs Learn to Collaborate and Reason Anton Korinek
November 2024 https://www.nber.org/papers/w33198 Theorizing with Large Language Models Matteo Tranchero, Cecil-Francis Brenninkmeijer, Arul Murugan, Abhishek Nagaraj
September 2024 https://www.abhishekn.com/publications-all/gabe-llm ChatGPT vs Social Surveys: Probing the Objective and Subjective Human Society Muzhi Zhou, Lu Yu, Xiaomin Geng, Lan Luo
September 2024 https://arxiv.org/abs/2409.02601 Automated Social Science: Language Models as Scientist and Subjects Benjamin S. Manning, Kehang Zhu, John J. Horton
April 2024 https://arxiv.org/abs/2404.11794 Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? John J. Horton
January 2023 https://arxiv.org/abs/2301.07543