Our Projects
Artificially Intelligent RCTs
Leveraging Large Language Models for Synthetic Experimental Research
Delhi – March 2026
Synthetic Replication Games
The Synthetic Replication Games are a series of one-day events organised in the context of a large-scale replication project exploring the potential of large language models (LLMs) to augment human samples in social science experiments. During each event, researchers of all backgrounds and career stages are invited to collaborate in adapting experimental studies from top-tier journals into a standardised format and replicate them using LLM-powered synthetic participants. The material generated during each event will be consolidated in a battery of synthetic replication packages, which will serve three main purposes: (1) benchmarking the ability of LLMs to simulate human participants in social science experiments; (2) facilitating the use of experimental data to fine tune LLMs; and (3) developing a standardised format for the replication material of synthetic experiments.
Artificially Intelligent Opinion Polling
Roberto Cerina and Ray Duch
The Talking to Machines initiative aims to revist how we conduct large scale experimental research. We believe that many of the key elements of experimental design and implementation can be enhanced by AI. Measuring the attitudes and behaviors of participants in these studies is a typical outcome variable in randomized control trials. An on-going research project explores how AI can radically change public-opinion research by providing researchers with a general methodology to make representative inference from cheap, high-frequency, highly unrepresentative samples.