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An open-source, browser-based front-end application for the collection of complex structured data from textual resources in history and the social sciences into a RethinkDB database for further analysis.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
This project explores the predictive power of large language models (LLMs) on voter behavior using social media data. By integrating demographic information with user-generated content such as tweets, the study compares the performance and biases of different LLMs in forecasting voter preferences. The analysis highlights the importance of data dive
This repository presents a project focused on predicting obesity levels using machine learning models based on dietary habits, physical activity, and genetic factors. It includes data querying scripts, preprocessing guidelines, and detailed analysis notebooks to explore and model obesity risk factors effectively.