Large-Scale Qualitative Research with AI (arxiv.org)

The Socioscope project has launched a groundbreaking initiative in Large-Scale Qualitative Research (LSQR) focused on the food system, utilizing AI to analyze vast collections of multimedia field data. By documenting a wide range of entities—from farms to restaurants and the systems influencing them—this research offers a comprehensive view of the interactions within the food sector. The Socioscope's data pipeline systematically captures and manages information, enabling AI-augmented analysis, and includes essential components such as rigorous sampling methods, data provenance rules, and compliance with ethics and GDPR standards. This project's significance lies in its ability to provide a scalable framework for qualitative research, yielding an impressive dataset comprising 686 cases across 31 countries and totaling 1,430 hours of recorded interviews. The methodologies established here are intended to encourage collaboration and adaptation among future research teams, contributing to the evolution of qualitative analysis in the AI/ML community. By sharing insights on operational metrics, costs, and challenges, Socioscope aims to empower others to enhance or repurpose its methods, ultimately fostering more robust research in various domains.