An Introduction to Simulating Human Survey Responses with Large Language Models: Potentials and Pitfalls

A tutorial co-located with the 12th International Conference on Computational Social Science (IC²S²) in Burlington, Vermont.

Workshop Organizers

Meet the team behind the tutorial on Simulating Human Survey Responses with Large Language Models: Potentials and Pitfalls. Our organizers are researchers in survey methodology, social simulations, computational social science, and the emerging intersection of large language models with social research.

Organization Team

Georg Ahnert

Georg Ahnert

University of Mannheim

Georg Ahnert is a researcher focused on computational social science and the application of machine learning techniques to social survey methodologies. His work explores the simulation and analysis of social phenomena through computational approaches.


Kristina Gligorić

Kristina Gligorić

Johns Hopkins University

Kristina Gligorić is a computational social scientist specializing in the intersection of online social behavior, survey design, and digital sociology. Her research examines how large language models and AI systems can be leveraged to understand and simulate human responses in survey contexts.


Indira Sen

Indira Sen

University of Mannheim

Indira Sen is a computational social scientist with expertise in social media analysis, information dynamics, and survey methodologies. Her work focuses on understanding societal phenomena through computational methods and exploring the ethical implications of AI in social research.


Maximilian Kreutner

Maximilian Kreutner

University of Mannheim

Maximilian Kreutner works at the intersection of natural language processing, survey methodology, and social science. He contributes to the development and application of computational frameworks for simulating human responses and validating survey instruments. His work includes the development of tools like QSTN, a Python framework for simulating survey responses with LLMs.


Jens Rupprecht

Jens Rupprecht

University of Mannheim

Jens Rupprecht is involved in research bridging survey methodology, computational social science, and artificial intelligence.


Markus Strohmaier

Markus Strohmaier

University of Mannheim | Complexity Science Hub Vienna | GESIS Cologne

Markus Strohmaier is a leading researcher in computational social science and complex networks with expertise in information dynamics, social behavior online, and digital society. His work bridges academic disciplines and develops innovative computational approaches to understanding social phenomena, while also critically examining the opportunities and pitfalls of applying AI systems to social research.


Contact

For inquiries about the workshop, please reach out to: georg.ahnert@uni-mannheim.de