💡 New AI-Resilience Project @ GESIS

The "Developing AI-Powered Survey Infrastructures to Enhance Resilience Research" project, funded by the Leibniz Association for 2025–2027, aims to improve public health by enhancing our understanding of resilience—specifically, how individuals and societies maintain or quickly recover mental health during crises. Traditional resilience research relies on panel surveys, which can be biased due to underreporting of life events and missing responses. To address these issues, the project proposes an AI-powered survey infrastructure that combines survey and web tracking data from the new GESIS Panel.dbd with open-source Large Language Models (LLMs). This approach includes detecting major life events through web browsing behavior, handling missing survey data by simulating responses with LLM proxies, and analyzing resilience factors by comparing traditional and AI-augmented measures. The collaboration involves experts from GESIS and the Leibniz Institute for Resilience Research (LIR), aiming to improve the quality of survey-based research across various disciplines.