Room: Track 2 - Panels and Workshops
Academic Track 🎓
Sunday, 16:30 UTC
Duration: 20 minutes (plus Q&A)
This event will not be recorded.
The rise of organized editing practices in the OpenStreetMap community has outpaced research methods for identifying mappers participating in these efforts and evaluating their work. This research uses machine-learning to improve upon prior approaches to estimating corporate editing on OSM, contributing both a novel methodology as well as summary statistics that shed light on corporate editing behavior in OSM.