Chaos Computer Club - recent events feed (low quality)

OpenStreetMap (OSM) has become one of the most valuable open mapping platforms, yet many aspiring contributors struggle with the initial learning curve. Technical complexities, lack of structured on boarding, and limited localized training resources often prevent new mappers from fully engaging with OSM. This talk will highlight key challenges faced by beginners and propose practical solutions to...

This project aims to combine AI‐generated building predictions from fAIr with crowdsourced validation and conflation workflows in MapSwipe, ultimately pushing high‐confidence conflated map data into OpenStreetMap (OSM). fAIr is an AI‐powered mapping assistant by HOT that helps users map smarter, faster, and more accurately. MapSwipe is a crowdsourcing app that lets volunteers validate or identify...

This talk introduces a student-led initiative from the Furuhashi Lab at Aoyama Gakuin University in Japan, focusing on the localization of global open mapping knowledge. As a YouthMappers chapter, we are currently translating the open-access book Open Mapping towards Sustainable Development Goals into Japanese. The aim of this translation project is to make critical mapping knowledge accessible to...

Since 2020, Japan’s Ministry of Land, Infrastructure, Transport and Tourism (MLIT) has led Project PLATEAU, releasing 3D city models in CityGML format. By 2025, over 236 municipalities have published building datasets compatible with the Open Database License (ODbL), suitable for integration into OpenStreetMap (OSM). Since 2022, OpenStreetMap Japan volunteers have imported PLATEAU’s Level of Detai...

Effective urban solid waste management in African cities remains a critical challenge characterized by rapid urbanization, limited infrastructure, and insufficient data. Traditional top-down approaches often fail to address the unique, hyperlocal realities of waste generation, disposal behaviors, and service gaps. This presentation explores how OpenMap Development Tanzania (OMDTZ) with the funds f...

## Utilizing OSM with QGIS _by Ariel Dome_ ## Open Mapping potential in Jakarta Metropolitan: Case Study of Mapillary Capture in Depok City _by Yabes Butar Butar_ ## People data tracing movement with GPS _by CJ Capuli_ ## All of five km _by Ewen Hill_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/NVH...

Across Uganda, countless community libraries and local museums hold untold stories, cultural memory, and untapped knowledge—but remain invisible on the digital map. The Ugandan Geo Quests project aims to change that. This session introduces two complementary national mapping initiatives: The Ugandan Libraries Geo Quest and The Ugandan Museums Geo Quest, which leverage OpenStreetMap, Wikidata, and...

Not only NSI, but Wikidata can be integrated with OpenStreetMap, and vice versa! Many years ago, with the help of Wikidata Taiwan, OpenStreetMap Taiwan has mapped all 7,000 villages, and also cross-linked to Wikidata. We also have a similar river project of mapping all rivers in Taiwan and crosslinking to Wikidata with the help of the river code published by the Taiwan government. In this talk, we...

Teaching with OpenStreetMap has mostly been focused at the high school and undergraduate levels. In this presentation, I will share my experience of integrating OpenStreetMap into a professional graduate program, the Master of Geomatics for Environmental Management at the University of British Columbia. We will look at some of the opportunities for teaching with OpenStreetMap at the graduate-level...

Nepal’s OpenStreetMap (OSM) community is currently experiencing a noticeable decline in active participation and long-term engagement. While the ecosystem once thrived on regionally supported events and student-led enthusiasm, it now faces a rise in passive contributors and a lack of continuity in mapping efforts. This trend is particularly concerning in a context like Nepal, where access to relia...

TomTom partners with OSM communities worldwide to build richer maps through collective action. In this SotM Global event 2025, we share how we support university mapathons, YouthMappers, and humanitarian mapping in 189 countries, reflecting on learnings and challenges in scaling community engagement while advancing OSM’s mission through meaningful, local partnerships. TomTom and the OpenStreetMap...

Dhaka, one of the most climate-affected cities in South Asia, is home to millions of migrants living in informal urban settlements. These densely populated areas are increasingly exposed to environmental and health hazards, particularly seasonal waterlogging and recurring dengue outbreaks. Despite the severity of these issues, many of these settlements remain underrepresented in official datasets,...

This talk delves into the unique challenges and opportunities of enhancing OpenStreetMap (OSM) data for two-wheeler routing and safety. Two-wheelers are a vital mode of transportation within SEA, yet their safety needs are often overlooked. Drawing from our experience in building and contributing enriched safety data back to OSM, we explore how attributes like lighting conditions, speed bumps, and...

In this work we develop a reproducible pipeline for querying multiple LLMs/chatbots in order to access and analyse their opinion on OpenStreetMap by prompting these systems to answer a series of questions on OSM. People are turning to chatbots and LLMs for opinions and advice on practically every topic. We believe it is important that we begin to assess how chatbots and the LLMs provide informatio...

Dhaka, one of the most densely populated cities in the world, faces a high risk of catastrophic damage in the event of a major earthquake. The lack of accessible open spaces poses a serious challenge for emergency evacuation and survival. This project utilizes OpenStreetMap (OSM) road and building layers, combined with satellite imagery, to identify existing open spaces across the city. Using ArcG...

This study introduces a behavior-dependent, unsupervised machine learning approach to assess the intrinsic quality of OpenStreetMap (OSM) data in Dhaka, which is both data-starved and urbanizing rapidly urbanizing area. Leveraging enriched contributor metadata and Principal Component Analysis (PCA), latent behavioral patterns and segmented contributors identified using KMeans and HDBSCAN. The silh...

## OpenStreetMap Sound Demo _by Taro Matsuzawa (@smellman)_ ## ArcGIS Living Atlas of the World: Open Data Content _by Deniz Karagulle_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/P3FWCW/

EUthMappers is an ERASMUS+ initiative that promotes STEAM education in secondary schools throughout the European Union, enhancing students' digital skills and fostering environmental civic engagement. The project includes three universities, students and teachers from five European schools, working for two years. The project has three main phases: development of training materials, local mapping p...

This talk examines the dynamics of collective intelligence in humanitarian mapping projects coordinated through the HOT Tasking Manager, using a dataset of 746 projects and 312,289 tasks to evaluate participation, collaboration, and evidence of intelligent group behavior. Humanitarian mapping projects coordinated through the Humanitarian OpenStreetMap Team Tasking Manager (HOT-TM) represent a para...

Mapping in iD is designed to be a welcoming experience that should require little to no required knowledge to get started. Additionally, the editor does also have some additional features up its sleave for more advanced mapping tasks. Regardless if you are a new, intermediate or advanced mapper: it can never hurt to know a trick or two that make your mapping more efficient! This talk will go throu...

Humanitarian OpenStreetMap Team proposed the fAIr project (https://fair.hotosm.org/) - an open-source AI-assisted mapping tool. This study describes our user testing organized to compare AI-assisted mapping of buildings in the fAIr tool and classic manual mapping of buildings in the JOSM editor without AI assistance. 26 participants took part in the experiment. Efficiency (number of buildings mapp...

This is a story about the last 7 years of OSMTracker and how, from an academic space in a Costa Rican public university, we managed to keep alive the app with computer engineering undergrad students. We want to share what we have learned: the challenges and contributions during this process, and how we plan to continue. OSMTracker is one of the oldies free software data capture tools in the OSM ec...

This talk explores the extrinsic quality of OpenStreetMap data in Brno by comparing the city’s most frequently mapped amenities against a custom, field-collected reference dataset. The findings highlight relatively high attribute accuracy in OSM but reveal gaps in feature completeness, with only about 34.94% of features matched with the reference dataset. OpenStreetMap is a notable example of a da...

OSMlanduse is the first EU-wide 10 m land-use map integrating 3.2 million OpenStreetMap geometries with Sentinel-2 imagery through an open deep-learning workflow. Delivering CORINE-level thematic detail with finer spatial resolution, it achieves 89% accuracy, providinng wall-to-wall coverage while retaining OSM’s sub-metre detail where available. Released under open licences with reproducible scri...

This study presents a geospatial framework that combines NLP, machine learning, and GIScience to extract and georeference tweets related to the November 2016 Haifa wildfire, enabling near real-time insights into urban fire dynamics. Using OpenStreetMap and GeoNames to geocode over 16,000 tweets, the researchers demonstrated strong spatial and temporal alignment with official fire incident reports,...