Benjamin Herfort

The ohsome framework makes OSM data analysis, data quality assessment and data download simple - for community members, researchers and developers. SOTM 2026 marks a fundamental milestone for us as we want to introduce ohsome-planet and release ohsome API v2.0.

[fAIr](https://fair.hotosm.org/) is an open AI-assisted mapping tool developed by HOT, the Humanitarian OpenStreetMap Team. Recently a new machine learning algorithm was added and OSM users can experiment with mapping buildings around the globe.

In this talk we introduce ohsomeDB - the successor of the OpenStreetMap History Database (OSHDB). ohsomeDB is a scalable distributed Postgres database. It’s powered through PostGIS and Citus and a database schema optimized for OSM data analysis.

MapSwipe is an application that enables crowdsourced data collection for OpenStreetMap and helps prioritize mapping efforts by identifying areas needing updates.

OpenStreetMap has celebrated its 20th birthday last year. Over the past two decades the community grew tremendously and now covers (almost) the entire globe. This talk summarizes OSM’s evolution with maps and meaningful numbers.

This talk will look at corporate editing in OSM at three scales - global, national and local. Our results show that corporate editing increased from 2016 to 2021, but has decreased since then.

The OpenStreetMap project has evolved as a social product and forms a large community of people loosely connected through the joint work on a global geographic database.

What is the state of the map in 2022 and how did we get here? Everyone who has used and contributed to OSM knows that the map is constantly evolving: new objects are added, existing data is adjusted and eventually gets deleted.

Albeit the manifold usage of OSM building footprints an adequate investigation into their completeness on the global scale has not been conducted so far. This talk investigates OSM building completeness within all 13,135 urban centers covering about 50% of the global population.