This talk will introduce the OSM Science/SotM Academic Track concept, review its history and past editions and will discuss the current state of OSM Science as reflected in the talk included within this track

This abstract examines how corporate editing affects OpenStreetMap’s collective intelligence. Using OSM data from 2015–2025 for several countries in Southeast Asia, it operationalizes collective intelligence through measures of completeness, semantic richness, geometric complexity, diversity, innovation, and evenness, combined into a composite score. Descriptive country-level analysis and local-projection models for Thailand and Malaysia show that corporate editing has real but bounded effects: it often improves innovation and completeness, but some waves reduce decentralization. Effects fade within about two years, suggesting OSM’s resilience.