Chaos Computer Club - recent events feed

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Licensed to the public under https://creativecommons.org/licenses/by-sa/4.0/ about this event: https://c3voc.de

Licensed to the public under https://creativecommons.org/licenses/by-sa/4.0/ about this event: https://c3voc.de

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Licensed to the public under https://creativecommons.org/licenses/by-sa/4.0/ about this event: https://c3voc.de

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Projekte: GlowPaka, Potato C4, Wanderalpakas, Sicher durch die Nacht, StatisTok, Servo-Gurt, Minecraft Shader, Wallet Finder, Safe Media, Anti-Stress Kuscheltier, Alpaka.Connect, Aquaponik Licensed to the public under https://creativecommons.org/licenses/by-sa/4.0/ about this event: https://c3voc.de

During the OpenStreetMap Foundation Board Ask Us Anything (i.e. AMA) session, we will take questions from the audience oand/or more questions that the larger community can submit before the event. We can discuss the board's past actions and our future plans. Let’s have a conversation about the Foundation and the Board and how all the parts work together. If you know nothing about what the board is doing, this is a chance to find out. Find out what the Foundation does and doesn’t do, what it can and can’t do. Find out how you can help and get involved. The Board is committed to openness and wants to engage with the community. Feel free to ask us questions also outside this specific session. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/ECRTL9/

Access to safe water and sanitation is critical for public health and sustainable urban development, yet significant disparities persist in informal settlements across low- and middle-income countries. This study explores inequalities in WASH access within Korogocho and Viwandani which are two densely populated informal settlements in Nairobi, using a participatory geospatial approach. Community members collaborated in mapping key WASH-related assets, including water points, sanitation facilities, and waste collection sites, enabling a detailed spatial understanding often absent in official datasets. A three-stage methodology was applied: participatory asset mapping, field validation using SurveyCTO , and data digitization and uploading onto OpenStreetMap. The process not only improved data quality but also empowered and built capacity of local residents through engagement in data collection and urban planning discussions. Results revealed critical service gaps, facility unreliability, and infrastructure needs, particularly during droughts. Despite Nairobi’s reported high access levels to improved water (96.4%), this figure masks deep inequalities within its informal settlements. By identifying priority areas and visualizing spatial inequalities, participatory GIS offers a scalable model for inclusive planning and equitable WASH interventions. This research underscores the role of community-driven mapping in fostering sustainable urban resilience and informing policy for underserved populations. This study employed a participatory three-stage approach to assess water access in informal settlements, focusing on mapping, data collection, and open-data sharing through OpenStreetMap (OSM). The first stage involved community participatory mapping, where local residents and leaders identified water access points, sanitation facilities, and waste collection areas, including piped connections, boreholes, and kiosks. This inclusive process addressed gaps in conventional mapping methods by capturing both official and community-used facilities. Focus group discussions provided further insights into the reliability, cost, and accessibility of these services, and the data was digitized using QGIS for spatial analysis. In the second stage, trained community members conducted field validation using SurveyCTO, a GPS-enabled mobile platform, to gather georeferenced water access data. A rigorous cleaning and validation process enhanced the dataset's reliability by cross-checking with previous spatial datasets. Finally, the dataset was uploaded to OSM, making it publicly accessible for planners, researchers, and decision-makers. A group of community members were involved through all the different stages and trained on how to use the different tools as required. This open-data initiative supports evidence-based urban water planning, enabling stakeholders to prioritize infrastructure and policy interventions in underserved areas, fostering equitable development and improved water access for vulnerable populations. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/XXHWYH/

What could you really accomplish with 100 days of consistent mapping? Add 1000 buildings, delete 100 nodes, or achieve completeness for an entire neighbourhood? Within the OpenStreetMap community, mappers contribute at different levels and frequencies using several tools and editors to enhance the map. In this presentation, we will share our experiences mapping every single day - the lessons learnt, the shortcuts we somehow didn't know, and key insights on maintaining data quality while sustaining a daily mapping practice over an extended period. We'll explore frameworks that could be considered for similar mapping challenges, strategies for finding motivation when inspiration runs low, and tracking progress to celebrate mapping milestones along the way. Since February, I've implemented a daily OpenStreetMap contribution practice(inspired by community members in Tanzania who mapped daily in 2024!). This systematic approach to consistent mapping has provided valuable insights into both the technical and motivational aspects of sustained OSM engagement. In this presentation, I will share my experiences mapping daily, examining how regular, incremental contributions can develop into meaningful map improvements over time. I'll discuss the variety of mapping tasks undertaken, the challenges encountered, and the quantifiable progression in mapping efficiency and quality. The session will outline practical considerations for those interested in adopting a similar mapping routine, including time allocation strategies, approaches to maintaining engagement during challenging periods, and methods for evaluating contribution impact. The presentation will address how both brief daily sessions and more extended mapping periods can be effectively integrated into a sustainable practice. This talk aims to present a structured framework for consistent OSM participation that attendees can adapt to their specific contexts, potentially enhancing both individual mapping capabilities and collective contributions to the OpenStreetMap project. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/3WWGYS/

## Building Resilience Spales through Open Mapping _by Jannie Fleur V. Oraño_ ## Mapping pet-friendly spaces in OSM _by Leigh Lunas_ ## Geo Drawing _by Moe Anjo, Mia Kozaki, Rensei Inoue, Yudai Kato_ ## OSM vs. Field Practical Training _by Erick Tamba Mnyali_ ## World's best addressing system _Dan Jacobson_ ## Invitation to FOSS4G 2026 in Hiroshima _by Satoshi Tanaka_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/N79KTE/

In this talk I will describe the pros and cons of using the pmtiles vector tile format in comparison with other tile formats. I will then talk about some of the tools available to generate pmtiles tiles based on OSM data and other GIS formats, inspect these tiles and visualize them on a website. Finally, I will demonstrate how I built in the real world a data pipeline to filter and transform OSM data, combine it with other data from external sources, generate pmtiles using the tools previously described and implement a website to display the generated tiles on a map. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/UUTQZX/

Unlike most world maps, OpenStreetMap is built by a global community with a keen focus on local knowledge. For many local communities, proper representation of the native language is just as important as getting the locations right. OpenHistoricalMap extends this approach back in time, incidentally tracking the evolution of written language through toponyms. Increasingly, users experience both projects through vector maps, which cannot necessarily benefit from the techniques that enable broad language support in raster maps. In particular, many Asian writing systems present unique implementation challenges for both cartographers and renderer developers. This talk traces the history of writing system support in one popular vector map library, MapLibre, from its origins in Mapbox GL to more recent experiments in improving text layout and rendering. As vector map technology finds its way onto the OSM homepage, these improvements will take on added urgency. You’ll learn about some mapping practices that renderer developers must work around, as well as limitations in underlying technologies like JavaScript and Unicode that block more comprehensive language coverage. You’ll come away with a fuller appreciation for the role of text rendering technology on the Web in the promotion of linguistic heritage. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/CTPAV7/

The Open Mapping Gurus are more than skilled mappers—they are changemakers rooted in their local contexts, driven by purpose, and committed to building resilient communities through open data. As mapping needs shift from short-term project engagement to long-term sustainability and impact, we need to equip these local champions not just with tools—but with vision, leadership, and strategy. This workshop explores how Open Mapping Gurus can play a central role in implementing and co-owning regional and national community-building strategies. Drawing from the Asia-Pacific Open Mapping Hub’s 2025–2030 Community Building Strategy, this session will present pathways for local leadership, inclusive participation, and cross-border collaboration. Participants will unpack the strategy’s key objectives—such as strengthening grassroots mapping, integrating community-centered monitoring and evaluation (MEL), and scaling open mapping through partnerships—and localize these goals through the lens of their own communities. Using interactive frameworks, reflection tools, and real-world examples, the workshop will help Gurus: 1) Identify their unique leadership role and local impact potential 2) Map opportunities for growing their local communities or projects 3) Align their ongoing work with regional strategy goals 4) Collaborate with other Gurus and partners to solve shared challenges By the end of this session, Gurus will leave with a clearer roadmap of how their grassroots work fits into a broader open mapping movement—where their contributions are seen, supported, and celebrated. This is not just a workshop; it's an invitation to step more confidently into your leadership role within the open mapping ecosystem. This interactive workshop is designed for Open Mapping Gurus and emerging local leaders who are ready to take their community mapping efforts to the next level. While many have contributed to mapping projects that support disaster response, health access, and development goals, sustaining this work—and the communities behind it—requires more than just mapping skills. It requires a strategic approach to community building, collaboration, and leadership. Drawing from the Asia-Pacific Open Mapping Hub’s 2025–2030 Community Building Strategy, this session aims to connect the dots between individual efforts and the larger open mapping movement across the region. Participants will learn how to align their local initiatives with regional objectives focused on grassroots leadership, inclusive participation, capacity strengthening, and cross-border collaboration. Using hands-on activities, small group work, and guided reflection, Gurus will identify their strengths, share their challenges, and create personal roadmaps that link their goals to regional priorities. The session will also spotlight successful community initiatives from across the Asia-Pacific region to inspire collaboration and knowledge exchange. This session is ideal for anyone who wants to grow from an individual contributor into a community leader, mentor, and changemaker within the open mapping movement. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/TFURNU/

## Spatial Innovation in Carigara: Applying Opensource Mapping Tools for Community Development _by Ariel Donic_ ## Enhancing Passenger Ride Experience Using GrabMaps _by Vic Puno_ ## From OSM Data to Transport Models _by Yannick Roth_ ## What is a stop? Mapping Public Transport Routes _by Wilhansen Li_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/YDSFTB/

On December 14, 2024, the territory of Mayotte, a French department of more than 300,000 inhabitants made up of several islands between Africa and Madagascar, was hit by the passage of Chido, the most violent cyclone it had seen in more than fifty years. Pleiades imagery taken in the following days, between December 17 and 24, were posted online and released for the OSM contribution. These images provided an opportunity to compare the situation before and after the disaster and to assess the damage to thousands of buildings. The presentation will explain the chosen methodology, which was inspired by the few examples previously produced in OSM and by a methodology developed by researchers at the Harvard Humanitarian Initiative. It will briefly show the editing workflow, which uses a specific preset and cartographic style in JOSM and relies on detailed descriptions and videos in several languages. It will also analyze the results obtained and the statistics generated throughout the cartographic process. It will compare them with other post-Chido evaluations carried out remotely or in the field, but on smaller samples. Finally, it will look at the prospects for replication in other contexts affected by wind damage. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/RMVQF9/

During disasters, there is a need for accurate, rapid, and reliable mapping, validation, and damage assessment to inform humanitarian response and recovery efforts. However, as disasters are often extensive in scale, it is important that these methodologies are scalable and can be employed for multiple affected areas at any point in time. Crowdsourced mapping, validation, and damage assessment, when combined with multiple layers of validation with local knowledge, enables humanitarian actors to quickly reach multiple affected areas at once - ensuring that no one is left behind. Humanitarian OpenStreetMap Team (HOT) will cover the crowdsourced methodology piloted for the 2025 Myanmar Earthquake response, the outcomes, and the lessons learned. There are pros and cons in applying different methodologies - AI-generated, expert-led, or crowdsourced - during a disaster. HOT sees value in employing a mixed-methods approach. This session will also explore the methodologies' benefits and limitations, and HOT's preliminary assessment of a mixed-methods model for future disaster response. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/YDENQX/

The UN Maps Programme, an initiative from the Department of Operational Support at the United Nations, provides topographic maps, operational geo-information, search and navigation tools, and imagery and street-level base maps to peacekeeping and humanitarian actors in UN mission areas. UN Maps has established a community of OpenStreetMap (OSM) data contributors called UN Mappers. The UN Mappers community is a collective of open mapping enthusiasts dedicated to building accurate and crowd-worked geospatial data to support peacekeeping and humanitarian missions on the ground. The session aims to provide updates about the UN Maps programme and the UN Mappers community. In addition, we aim to share co-created and adopted initiatives that we are currently exploring in community building and sustainability, such as the UN Mappers Ambassadors and Chapters, and to discuss lessons learned and challenges. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/GSLL8S/

Rare in Asia, house numbering grids are indeed present in the Philippines, as an analysis of OpenStreetMap data shows. In places like Bonifacio Global City the names of roads themselves form a quite advanced pattern, with non-overlapping street vs. avenue numbering. House numbers are absent. Other places like Pasay have odd numbered street names perpendicular to even. If the physical streets form a grid, but the current numbers don't, then we take the liberty to suggest one. Software used: OGR/GDAL and GNU/Linux command line tools and Viking GPS to display the KMZs produced. Full article: https://www.jidanni.org/geo/house_numbering/grids/ph/ncr/bands/high.html Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/MDWSKG/

This talk will present the OSM Swiss Style project and the new OSM Swiss Base Map, which was developed by University of Applied Sciences OST, in cooperation with ETH Zurich, Sourcepole AG and the Swiss OpenStreetMap Association. The goal is to create a base map for thematic maps that blends Swiss cartographic design principles such as clarity and readability with modern technologies like vector tiles and unique worldwide datasets such as OpenStreetMap (OSM) data and Terrain 3D tiles. The map style pays particular attention to public transport. It uses MapLibre GL JS, PMTiles, Tilemaker with Lua scripts and an extended Shortbread schema. Graphical assets include custom-made icons, icons from the OSM project, and the Roboto font. Innovations include geographical name and points-of-interest (POI) prioritization with QRank, which will be discussed alongside the challenges experienced so far. This talk will present the OSM Swiss Style project and the new OSM Swiss Base Map. This small project is a collaboration between the Eastern Switzerland University of Applied Sciences OST, ETH Zurich's Institute of Cartography and Geoinformation, Sourcepole AG and the Swiss OpenStreetMap Association. The project's main goal was to develop a base map for OSM.ch that could be used as a base layer for creating thematic maps for various applications, such as tourism and mobility, under a CC BY 4.0 licence. The idea was to combine traditional Swiss map design, with its clarity and readability and hill and rock shading, with modern open-source technologies such as vector tiles, as well as unique worldwide datasets such as OpenStreetMap (OSM) and 3D terrain data (terrain tiles). Currently, the map is limited to the bounding box around Switzerland, but the tools and styles are designed to be scalable worldwide. The map style pays particular attention to public transport (railways) versus private transport and features clear, categorised symbols. The front-end uses MapLibre GL JS with plug-ins including PMTiles. Graphical assets include icons from the OSM project, custom point, line, and area symbology, and the Roboto font family. Backend processes are handled using Tilemaker with Lua scripts and an extended version of the Shortbread vector tile schema. Discussed innovations include prioritization of geographical names and points-of-interest (POI) using the QRank dataset. Some challenges will also be mentioned, like data preprocessing and generalization. It is hoped that the innovations and challenges mentioned will stimulate a lively Q&A session. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/RD3WXL/

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. We want to take a look at the “state of the map”, current mapping trends and some of the challenges that we face. We look at the size of the active community, analyse regional differences in mapping and look at the impact of mobile OSM editors such as StreetComplete and Every Door. Let’s also take a brief look at humanitarian mapping, corporate mapping and the impact of AI-generated data and Street View Imagery on OSM’s future. This talk is intended to be an introduction and puts a focus on the basics. Each topic mentioned above would probably deserve its own talk! 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. We want to take a look at the “state of the map”, current mapping trends and some of the challenges that we face. ### Active Community OSM had pretty stable base of about 250,000 active mappers per year for the past three years. Nevertheless, the all time high has been recorded in 2017 and since then there was a slight decline in active mappers. We want to break down these large numbers: How many people make up the core of OSM by contributing most data? How many people start mapping in OSM for their first time each day? What does this mean for the future of OSM and the next generation of mappers? ### Regional Differences OSM as a global project has always been characterized by regional differences. This can be assessed by looking at the map in various places, but also by by breaking down the number of mappers per country and setting this into perspective with the overall population count. How “biased” was OSM in its first decade and to what extend did this change over the past years? What are the “trending” countries in OSM that have experienced a particular strong increase? Are there countries where the OSM community is under pressure, in particular after the pandemic? We will take a closer look at our host country the Philippines and the evolution of OSM in Southeast Asia. ### Micro Mapping New OSM editors such as StreetComplete and Every Door for smartphones have removed some of the technical barriers and have made OSM mapping available to a less technical minded group of users. This is great and we can see this in the OSM data when taking a closer look at where amenities and point-of-interests are edited. How much mapping happens through mobiles apps compared to the more traditional editors such as JOSM or iD? Which countries are leading the way? ### Further Trends and Challenges The OSM community is diverse and organised forms of mapping have evolved over the past years. Humanitarian mapping, e.g. through the HOT Tasking Manager, or corporate mapping have added map data in places previously unmapped. At the same time organized mapping has also undergone some changes and corporate mapping has declined over the past years significantly. On the other hand, there are new forms of mapping that challenge some of the established conventions. AI-data and AI-assisted mapping already begin to have a larger impact on OSM. As the coverage of Street View Imagery expands, new details can be added to the map without being physically on the ground. What does this mean for the future of OSM? I’m not sure if we want to talk about vandalism in OSM. In recent years we saw at least two waves of vandalism in OSM related to real-world political conflicts. Probably it’s too much for this talk, but let’s see. ### Tech & Tools For the analysis we will mainly rely on HeiGIT’s ohsomeNow stats dashboard (https://stats.now.ohsome.org/), which offers minutely updated and global scale overview statistics on all mapping activity in OSM. The website and API allow you to get insights into the number number of contributors, total map edits, added buildings and added road length for a given time range and optional OSM Changesets hashtag and country filters. Hexagon maps (upcoming in next release in June) provide further insights “where” mapping happens at a finer resolution. Some of the results presented in the talk will be based on GeoParquet files generated with ohsome-planet (https://github.com/GIScience/ohsome-planet). You can use the ohsome-planet data to perform a wide range of geospatial analyses, e.g. using DuckDB, GeoPandas or QGIS. At the State of the Map 2024 in Nairobi we have organized a workshop which shows use cases and provides a more thorough introduction (https://giscience.github.io/sotm-2024-ohsome-data-insights-workshop/intro.html). When preparing this talk we have also drawn inspiration from the OSM statistics provided by Piet Brömmel (https://github.com/piebro/openstreetmap-statistics). Creative Commons

## Access Disparities to Evacuation Centers _by Mark Ducusin_ ## Post conference trip Mt. Pulag _by Thomas Hercig_ ## Using OSM to identify the busiest public transport stops in Metro Manila _by Edneil E. Soriano_ ## Vibe Coding a Web GIS Platform _by Arun Ganesh_ https://amche.in ## I'd like to show my OSM commits as 3D _by Satoshi Tanaka_ ## way/445712235 _by Maning Sambale_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/SAWRUB/

This talks presents the "Postpass" service, a database that services OSM data for public querying much like Overpass, but uses PostGIS under the hood. With a few extra characters added to your query, you can have the power of PostGIS at your fingertips from within Overpass Turbo. Overpass and Overpass Turbo are indispensable tools for OSM contributors - everyone uses them whenever you need to glance at the data and go beyond what's visible on the map. Show me pizza places in Dundee, which playgrounds in Paris have age restrictions - stuff like that can be done quickly with Overpass and doesn't require any data downloading or software installation. Because such "rapid prototyping" is so easy with Overpass, a lot of community projects small and large have come to depend on Overpass and its two domain-specific query languages as a backbone. Pages upon pages on the community forum and wiki deal with how to solve this or that query with Overpass - and there are cases where a PostGIS query could to the same thing more efficiently or easier than Overpass. The missing link to allow the same "rapid prototyping" and experimenting with PostGIS that we already see with Overpass is a publicly accessible PostGIS instance. The author has been running exactly that for half a year (Github repos https://github.com/woodpeck/postpass and https://github.com/woodpeck/postpass-ops) and this talk explains how to use it, and what its strengths and weaknesses are. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/GQKLBA/

Building a strong and inclusive mapping community requires leadership, collaboration and a vision that aligns with global geospatial initiatives. As an Om Guru Advanced Mapper, Kathmandu University YouthMappers President and Executive Member & Sole Mapping Lead of Geomatics Engineering Society (GES) for tenure 2025, I have worked extensively to expand Nepal’s OpenStreetMap (OSM) ecosystem, integrating engineering students, women and interdisciplinary contributors into mapping projects. My leadership has helped grow female mappers and transform the local community into university-level, being in the geospatial field, focused on women to lead mapping and running monthly campaigns across the country, ensuring greater inclusivity and technical engagement. In April 2025, I single-handedly organized Mapping Week 2025, an open mapping initiative held across Kathmandu University. This program featured 9 distinct open-source mapping applications, more than 12 national and international trainers and a range of community engagement activities including mapathons, quizzes and interactive workshops. The result? A historic rise in female participation and the expansion of mapping interest across university that previously had little exposure to OSM. My talk focuses on how OpenStreetMap can be a tool for technical training, empowerment, inclusion and leadership development. I will reflect on the process of forming KU YouthMappers, expanding beyond a departmental club into a university-wide, multidisciplinary chapter. I will also explore challenges we faced when breaking academic silos, how we sustained motivation among new mappers and strategies that ensured our efforts aligned with OSMF’s larger mission. This session will demonstrate building inclusive and gender-aware communities using open tools like ID editors and JOSM. It also aims to show the potential of young leaders, especially women, in shaping the future of mapping movements in underrepresented regions like Nepal. My ultimate goal is to highlight how ‘Women Who Map’ can be pioneers of change both locally and globally. This talk presents my journey of transforming a small, department-specific mapping club into an inclusive, interdisciplinary mapping movement at Kathmandu University, Nepal. From beginner mapper to Advanced Mapper, OM Guru (2024) and sole Mapping Lead 2025 of the Geomatics Engineering Society (GES), I observed the limited participation of women and non-engineering students in OSM activities. Motivated to address this gap, I initiated the creation of a new YouthMappers chapter Kathmandu University YouthMappers which opened participation to students across faculties like environmental science, architecture and computer science. The goal was to foster a community where anyone, regardless of academic background or gender, could contribute to open mapping and OSM. In April 2025, I single-handedly organized Mapping Week 2025, a high-impact event that featured nine open-source mapping applications, over 12 trainers from national and international backgrounds, and activities like mapathons, quizzes and workshops. This program marked a major shift in visibility and inclusion most notably by increasing female participation in mapping for the first time at this scale within the university. Using open tools such as iD Editor, JOSM and uMap, the event showcased how open-source platforms can empower underrepresented voices, build technical capacity and stimulate long-term engagement through peer mentoring and active learning. This session will share insights on how our grassroots chapter aligned with the values of the OpenStreetMap, especially regarding inclusivity, openness, and community collaboration. It will explore strategies to encourage OSM communities, connect local leaders with working groups and build ethical, sustainable communities. By reflecting on challenges and successes, I aim to present a replicable model for inclusive leadership in mapping. My story underscores that women who map can also lead, organize and inspire others ensuring that open mapping remains a space where diverse perspectives shape the future of geospatial knowledge. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/YHRMZM/

Whether you’re a simple mapper or a sophisticated data consumer, you depend on a lot of machinery at the heart of OpenStreetMap that you probably never think about. After many years mapping and tinkering on OSM-based frontend applications, Minh is venturing into the software core of OSM’s world. Join him as he recounts his travels, unearthing the many moving parts beneath the surface and piecing together how they fit into the larger constellation of OSM software. Get a glimpse of the future of this software stack as we invest in development resources and make progress on longstanding priorities – and how you can help. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/CBMXL3/

The open mapping movement in Sri Lanka has gained significant traction in recent years, with grassroots organizations demonstrating how open geospatial technologies can serve as tools for advocacy, resilience, and participatory governance. Supported by the Vriddhi Project, implemented by UNOPS Sri Lanka, this initiative introduced OpenStreetMap (OSM) and complementary open-source geospatial tools to 113 civil society organizations (CSOs) in Sri Lanka. These CSOs represented diverse sectors including women’s rights, land rights, environmental protection, youth development and disaster risk reduction. The approach was structured around four pillars. Initiation and Engagement examined how the unfamiliar concept of open mapping was contextualized in local languages, building trust and digital confidence among grassroots actors. Capacity Building and Toolkits focused on the design of non-technical training modules and the deployment of user-friendly tools that directly informed local advocacy. Challenges and Lessons Learned highlighted issues of digital inequality, connectivity gaps, institutional skepticism, and gendered barriers to participation, while also reflecting on strategies to sustain momentum in remote and conflict-affected areas. Outcomes and Impact showcased case studies, including mapping project outcomes, visualizing land disputes, and documenting community assets, demonstrating how open mapping enhanced transparency, collaboration, and storytelling across civil society initiatives. By embedding open mapping practices into grassroots workflows, this project illustrates the transformative potential of locally driven geospatial innovation. It further underscores the critical role of civil society in advancing open data ecosystems and sustaining participatory development in South Asia. This session will take the audience on a journey through the practical, human-centered introduction of OpenStreetMap and open geospatial technologies to civil society organizations (CSOs) across Sri Lanka. This initiative empowered 113 organizations working in diverse sectors—ranging from women’s rights, land rights and environmental protection to youth development and disaster risk reduction. The presentation will be structured around four key pillars: 1. Initiation & Engagement: How the idea of open mapping was introduced to grassroots-level organizations unfamiliar with geospatial tools, Methods used to tailor the concept of “open data” to local contexts in multiple languages, Strategies for building trust and digital confidence among participants. 2. Capacity Building & Toolkits: Designing training modules suitable for non-technical audiences, Demonstrations of tools like Field Papers, OSM Tracker, QGIS, and the HOT Tasking Manager, Interactive mapping sessions held in underserved communities, and how they unlocked new insights and local advocacy potential. 3. Challenges & Lessons Learned: Navigating digital divides, internet accessibility issues, and organizational skepticism, Overcoming gendered barriers in tech participation, Building momentum in remote and conflict-affected areas with limited exposure to open data culture. 4. Outcomes & Impact Stories: Real-world case studies: mapping flood-prone areas, land disputes and visualizing community assets, Reflections on how open maps enhanced transparency, collaboration, and storytelling within civil society projects, Future pathways for sustaining open mapping culture at the grassroots level. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/MM8TEB/

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 make OSM more accessible and inclusive. Drawing from my experience as an Open Mapping Guru, a YouthMappers leader, and a trainer with the Open Mapping Hub - Asia Pacific, I will discuss effective strategies for on boarding new contributors. These include localized training resources, mentorship programs, and simplified tool introductions. By addressing these gaps, we can empower a more diverse community to participate actively in open mapping. OpenStreetMap (OSM) is a powerful tool for open geographic data, yet many new contributors struggle with onboarding due to technical complexities, lack of structured training, and limited mentorship opportunities. These challenges hinder OSM’s potential to grow into a truly inclusive and diverse mapping platform. In this talk, I will address key barriers faced by beginners and present actionable solutions to enhance accessibility in OSM. Drawing from my experiences as an Open Mapping Guru, a YouthMappers leader, and a trainer with Open Mapping Hub - Asia Pacific, I will share strategies such as localized training materials, mentorship programs, gamification techniques, and social media engagement. Through case studies of successful community-driven initiatives, including YouthMappers projects and grassroots mapping efforts in Bangladesh, I will demonstrate how we can empower new mappers and improve retention. By fostering a more beginner-friendly environment, we can ensure OSM remains a valuable resource for humanitarian efforts, disaster response, and everyday navigation. Attendees will gain insights on practical ways to support new contributors in their communities and help make OSM more accessible, engaging, and sustainable. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/TX88WD/

World-Map-Explorer is a web application that helps the visually impaired learn about the world and understand maps. It is a great pleasure to note that the application was developed by a group of students from the Computer Science Department of Sri Krishnapuram Government Engineering College in collaboration with Zendalona with support of OpenStreetMap Kerala Community. This app, which can be used by both the visually impaired and the sighted, is based on the free software OpenStreetMap. This app describes the world based on audio cues with the help of a screen reader. Existing applications like Google Maps cannot be used with a keyboard. Therefore, the visually impaired cannot use map applications. They understand the structure of areas by swiping their hands through the lines and dots that stand out on the tactile map. They understand where a place is by waving their hands over the place name written in Braille. World-Map-Explorer is a web application that helps the visually impaired learn about the world and understand maps. It is a great pleasure to note that the application was developed by a group of students from the Computer Science Department of Sri Krishnapuram Government Engineering College in collaboration with Zendalona with support of OpenStreetMap Kerala Community. This app, which can be used by both the visually impaired and the sighted, is based on the free software OpenStreetMap. This app describes the world based on audio cues with the help of a screen reader. Existing applications like Google Maps cannot be used with a keyboard. Therefore, the visually impaired cannot use map applications. They understand the structure of areas by swiping their hands through the lines and dots that stand out on the tactile map. They understand where a place is by waving their hands over the place name written in Braille. But this has many limitations. It only provides a few details about the place. And it is difficult to carry it anywhere. That is why the Map World-Map-Explorer, which can be easily used from anywhere, is opening up new possibilities for visually impaired peoples. https://map.zendalona.com/ This Project Launched by Dr. R Bindu, incumbent Minister for Higher Education and Social Justice, Government of Kerala. https://www.facebook.com/drrbindhu/posts/pfbid02vPrXmPFuG6UE2p8yymnqxVKWwUTh2nA5FkDfw37qCNgrntCqiczPNoc8hJK81H7kl Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/ABLRCG/

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 features (e.g. buildings) quickly on satellite imagery. Objectives - Automate the creation of MapSwipe projects from fAIr (with building predictions, TMS layers, etc.). - Validate AI‐predicted features via MapSwipe’s volunteer workflow via redundancy. - Conflate validated features with existing OSM data. - Upload conflated data back to OSM in a controlled, conflict‐aware manner. - Provide feedback to improve fAIr's AI models based on volunteer validation results and possibly task the tasking manager to manually map the parts that are difficult to validate via MapSwipe. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/3HRTVP/

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 non-English-speaking students and to encourage greater participation in the open mapping community. Recognizing the importance of engaging peers through action, we organized our first online Mapathon in early 2025. This event helped beginner mappers gain hands-on experience and fostered a sense of community among participants. Building on its success, we are now planning a collaborative inter-university Mapathon scheduled for July 2025, with the goal of expanding our network and impact across academic institutions in Japan. In this talk, we will share insights from managing the translation workflow, including how we divided chapters, ensured consistency in technical vocabulary, and utilized collaborative tools such as GitHub for version control. We will also reflect on our outreach efforts—how we communicated the value of open mapping to our peers and engaged them in both the translation and mapping processes. Through this project, we aim to empower students with the knowledge and tools needed to contribute to global development goals through geospatial technologies. Ultimately, our initiative highlights the potential of youth-driven efforts to strengthen open mapping education and build inclusive communities, even in regions where English is not the primary language. Since October 2023, YouthMappers AGU—based at the Furuhashi Laboratory of Aoyama Gakuin University in Japan—has been leading a student-driven translation project of the open-access book “Open Mapping towards Sustainable Development Goals.” This book, published by Springer, collects diverse case studies from YouthMappers chapters across the globe, demonstrating how young people address social and environmental challenges through open mapping. In Japan, awareness of YouthMappers, OpenStreetMap (OSM), and humanitarian mapping remains relatively low, particularly among students. To bridge this gap, our seminar group proposed translating the book into Japanese—not only to make the content accessible to non-English speakers, but also to inspire local mapping activities based on global examples. This translation effort also serves as an opportunity to cultivate academic and digital literacy skills within the seminar. The project started during our Fall 2023 semester. We divided the 370-page book among 12 seminar members, assigning roughly 20 pages each. To ensure quality, we created shared translation rules covering tone (formal), terminology consistency (e.g., “map” rendered consistently), format alignment with the original layout, and reference handling. All translations are stored collaboratively on Google Drive and GitHub. As of April 2025, 140 pages have been completed. Our goal is to finalize the full Japanese version by September 2025. In parallel, our team also initiated hands-on engagement through a student-led online Mapathon held in January 2025. The event involved preparation of posters (via Canva), registration forms, and slide decks. Participants, mostly undergraduates, were introduced to creating OSM accounts, navigating the Tasking Manager, and mapping buildings in Yoronjima, Japan. Post-event surveys showed that while time was limited, many valued the experience of learning the basics of humanitarian mapping. Key reflections from this event include the importance of communication setup: for instance, participants using smartphones for Zoom and laptops for mapping caused screen-sharing issues, hindering real-time support. Some were unfamiliar with Zoom’s screen-sharing function. These experiences highlighted the need for clearer technical preparation, which we plan to implement in future events. Looking ahead, we are planning a collaborative Mapathon with another university in July 2025, aiming to expand inter-university cooperation in humanitarian mapping and involve more Japanese students in the global YouthMappers movement. This presentation will showcase our dual-track initiative: (1) localizing global YouthMappers knowledge through structured translation work, and (2) fostering peer learning and community engagement through Mapathon events. As students in the Furuhashi Lab, we will also reflect on how being part of an OSM-active academic lab has supported our growth. We hope our efforts inspire other YouthMappers chapters—especially in non-English-speaking contexts—to pursue similar educational and participatory projects. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/8VMYYW/

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 Detail 1 (LOD1) building data into OSM, completing imports for 13 cities as of May 2025. Despite these efforts, only about 62% of Japan’s estimated 38 million building polygons are mapped in OSM. This presentation proposes a roadmap to complete Japan’s building mapping within one year, focusing on optimizing PLATEAU data imports, ensuring data consistency, and strengthening community collaboration. — Strategies for Integrating PLATEAU Data into OpenStreetMap Since 2020, Japan’s Ministry of Land, Infrastructure, Transport and Tourism (MLIT) has spearheaded Project PLATEAU, a national initiative to develop and openly release 3D city models in CityGML format. As of 2025, over 236 municipalities have published detailed building datasets, which are compatible with the Open Database License (ODbL) and suitable for integration into OpenStreetMap (OSM). These semantically rich and high-precision datasets hold significant potential for applications in urban planning, academic research, and civic technology. Building upon previous presentations at State of the Map conferences, this talk outlines the progress made since 2022 by volunteers from OpenStreetMap Japan in importing PLATEAU’s Level of Detail 1 (LOD1) building data into OSM. As of May 2025, imports have been completed for 13 cities. In addition to these imports, numerous volunteer mappers continue to enhance OSM’s building data through aerial imagery tracing and other methods. Despite these efforts, only approximately 62% of Japan’s estimated 38 million building polygons are currently mapped in OSM, leaving about 14 million polygons—38%—yet to be integrated. Addressing this gap necessitates a clear numerical target and a strategic approach. This presentation sets forth an ambitious yet achievable goal: to complete the mapping of Japan’s building data within one year. We will provide a quantitative analysis of current progress and delineate a roadmap to achieve this objective. Key strategies include optimizing the importation of PLATEAU data, ensuring data consistency between PLATEAU and OSM, and strengthening collaboration within the mapping community. By sharing these insights and methodologies, we aim to accelerate the integration of PLATEAU data into OSM and to serve as a model for other countries seeking to enhance their building mapping efforts. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/N89YSU/

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 from the World Bank, has implemented community-driven data collection approaches in Tanzania, Mozambique, and Kenya to fill this knowledge gap and build more responsive, inclusive waste management systems. Through the integration of OpenStreetMap (OSM), mobile data tools like OpenDataKit, OsmAnd, and participatory mapping techniques, communities have been engaged in mapping informal waste collection points, illegal dumping sites, transfer stations, and service coverage areas. By centering local knowledge, these projects have produced actionable geospatial data that informs city-level planning, supports environmental health interventions, and amplifies citizen voices in waste governance. Participants will gain insights into how grassroots data collection not only improves the quality of open data but also reshapes power dynamics in urban planning, placing communities at the forefront of building cleaner, more sustainable cities. Urban waste management systems across many African cities face severe capacity challenges. Waste collection services are often inconsistent, infrastructure is unevenly distributed, and data on where and how waste is generated and handled is largely missing or outdated. This session shares lessons from community-centered mapping initiatives implemented by OMDTZ and partners in Dar es Salaam, Nacala- Mozambique, and Mombasa -Kenya, where local residents have played a central role in generating critical waste-related datasets. Instead of relying solely on municipal audits or high-tech surveys, the approach engages community members, youth groups, and local organizations to map and monitor solid waste dynamics in their own neighborhoods. Equipped with mobile tools, participatory maps, and training, local data collectors document: 1. Community perception and attitudes on the solid waste management 2. Waste handling modes, dispose ways and payment behavior 3. Informal dumpsites and hotspots for illegal dumping 4. Waste collection service routes and gaps 5. Types and volumes of waste generated in residential areas 6. Proximity of vulnerable communities to unmanaged waste zones These datasets are then analyzed and shared with the responsible authority, allowing governments and funders to create the city-level strategic plans for solid waste management. While researchers access real-time, location-specific information for designing targeted interventions, from optimizing collection routes to deploying behavior change campaigns. This talk will cover: 1. The methodology for engaging communities and collecting waste-related geospatial data 2. Case studies from Tanzania, Mozambique, and Kenya that demonstrate impact 3. Tools and platforms used for data collection, visualization, and decision-making 4. How local knowledge has influenced waste policies and infrastructure planning 5. Challenges and solutions for sustaining community engagement and ensuring institutional uptake of data By leveraging community knowledge and open technologies, these projects have helped cities move toward more resilient, inclusive, and evidence-based solid waste systems. The session will also highlight how this approach contributes to climate resilience, youth empowerment, and the democratization of urban data ecosystems. Ideal for practitioners, urban planners, open data advocates, and local government officials, this session will offer replicable strategies for harnessing community-driven data to transform waste governance and sustainability in rapidly growing urban areas. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/VTGCCY/

## 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/NVHF3U/

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 Wikipedia to bring local knowledge institutions into the global digital commons. We’ll explore how we: Mobilized local communities, Wikimedians, and mappers for participatory documentation Used tools like uMap, ODK Collect and KoboToolbox to ensure data quality and visibility Linked OSM data with Wikidata and Wikipedia for multi-platform discoverability Addressed challenges around verification, tagging, and sustainability Attendees will gain insights into designing thematic mapping campaigns that go beyond infrastructure—to elevate culture, education, and heritage in open data ecosystems. Whether you're a mapper, librarian, or advocate for digital equity, this session offers inspiration on how maps can preserve identity and empower communities. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/MTS9TS/

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, identify some of the challenges with teaching natural resource management with OpenStreetMap, and consider some broader implications for incorporating OpenStreetMap into graduate education. Finally, I will share some open educational resource lesson plans for teaching with OpenStreetMap that can be adapted for your classroom. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/P8MPHS/

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 want to further talk about the school, mountain, church, temple, and hiking trail mapping projects, which also have the corresponding external 3rd-party Wikidata property. We will also describe the process like documenting and tools involved NSI is quite an important project to cross-link OpenStreetMap and Wikidata, but the story can go further. With the help of the Wikidata Taiwan community, there are some achievements, like the rivers crosslinked (P9170), and the villages mapping and cross-linked (P5020). We also use Wikidata information to double check if the school's basic information, like address or website is correct or not, and adding its coordinates from OpenStreetMap geolocation. The OpenStreetMap Taiwan continues to integrated more Wikidata and external identifier like religious related Chinese Church and Organization Dictionary ID(P13272) and Platform for Taiwan Religion and Folk Culture ID(P13349); hiking related identifier: Hiking Note Trail identifier(P13406), Hiking Note mountain identifier(P13407). We also use automatic approach to make sure both OpenStreetMap and Wikidata records all those entries and information. By the help of Listeria powered by OpenStreetMap, and the datamining tools Overpass Turobo, to doing some documents and data check. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/JUSRXF/

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 reliable and up-to-date geospatial data remains limited, and OSM presents a valuable, open-source alternative for inclusive mapping and data democratisation. A key factor contributing to this decline is the narrow framing of OSM as a repetitive editing platform, often reinforced by conventional training sessions that overlook the broader creative and applied potential of the tool. Innovative and accessible platforms such as Mapillary, MapSwipe, and OSM-based design tools—which can make mapping more engaging and relevant to everyday challenges—are rarely introduced or integrated into learning experiences. Drawing on my own experience organising initiatives such as the OSM Hackfest and thematic map design based on OSM dataset competitions, I have witnessed how student engagement can be restored when OSM is presented not just as an editing tool but as a gateway to problem-solving in urban planning, disaster resilience, and many more potentials of the OSM datasets. More importantly, there is a need for advocacy for a shift in narrative: from simply contributing data to understanding the importance of OSM and utilising it. By embedding OSM awareness from the student level to policymaking stakeholders, Nepal can foster a resilient and self-sustaining mapping ecosystem. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/RUCRPS/

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 Community share a common vision: building a map that reflects and serves the world, powered by local knowledge and collective action. In this session, We will be taking you behind the scenes of TomTom’s partnerships with OSM communities worldwide, demonstrating how collaborative efforts are strengthening the quality, freshness, and inclusiveness of OpenStreetMap data. From hosting mapathons with universities and YouthMappers chapters to supporting humanitarian mapping during crises, TomTom’s initiatives have connected 3,397+ OSM contributors across 189 countries. We will share real examples of how these collaborations are transforming local mapping ecosystems while providing technical resources, training, and data that support contributors in making impactful edits. We will also discuss scaling corporate-community collaborations responsibly, challenges faced in diverse regions, and opportunities for co-creating projects that benefit both OSM and local communities. Participants will leave with ideas and inspiration on how to replicate or adapt these approaches to engage more mappers, foster skill-building, and deepen OSM’s reach. Join us to discover how mapping together can empower communities and create a richer, more inclusive map of the world. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/TZNMJG/

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 pothole assessments can make navigation safer and more efficient for two-wheelers. Through this talk, we aim to inspire the OSM community to prioritize safety attributes for improving map data quality for two-wheelers. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/8KQRCY/

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, limiting the ability to implement targeted and effective resilience measures. As part of our Capstone Project under the Climate Resilience Fellowship (CRF), this initiative leveraged OpenStreetMap (OSM) to conduct a community-led, GIS-based multi-hazard assessment in some of Dhaka’s most climate-vulnerable settlements. Our work followed a two-phase approach: Field-based data collection and mapping, where youth and women from local communities actively identified water accumulation zones and dengue breeding hotspots using OSM tools. Awareness building and local preparedness activities, using the mapped data to facilitate community dialogues and promote action for health and disaster resilience. Through this participatory mapping effort, we not only generated critical geospatial data but also strengthened local capacity to respond to climate and health risks. OSM served as both a data platform and a tool for empowerment, enabling residents to visualize their vulnerabilities and advocate for solutions. This talk will showcase how open mapping, when integrated with community engagement and local knowledge, can effectively support disaster risk reduction, public health planning, and climate adaptation in marginalized urban areas. We will also reflect on the potential for replicating this model in other cities facing similar climate and health challenges. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2025.stateofthemap.org/sessions/8KKLCS/

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 information and opinion about OSM. Among other outputs, this work can providing evidence to the OSM community that can be used to shape future public engagement strategies about the project. The work described in this abstract is motivated by the rising interest in studying the human-like traits of Large Language Models (LLM). Since LLMs are pretrained on vast amounts of human data, it is reasonable to assume that LLMs can reflect the AOVs (Attitudes Opinions and Values) embedded in the data [1]. LLMs are increasingly being used in open-ended contexts, where the opinions they reflect in response to subjective queries can have a profound impact, both on user satisfaction, and shaping the views of society at large [2]. While LLMs can never have opinions in the same way a person does these systems can be prompted to generate opinion-like text. For example, in Malleson et. al [3] LLMs are used to give opinions on neighbourhood change. Chatbots can output opinionated language, but service providers usually purposely describe these outputs as "generated perspectives" rather than actual beliefs [4]. There is usually topic-specific or subject-specific safeguards implemented—especially around political discourse and advice involving risk to human life, health, and so on. Despite this, the huge popularity of chatbots mean that opinionated text produced by chatbots and LLMs can have the potential to be very influential on the reader or user[4,5]. The attraction of these outputs emerge from the fact that these opinions arrive instantly, they are written in very confident, certain, and reassuring language, and often include citations and evidence to support claims. When LLMs are integrated into search engines, social platforms, and other interactive systems, their outputs when the user is seeking opinions or viewpoints can become a user’s first—or only—exposure to a topic[5]. There are positives and negatives to these situations. On the one hand, the systems can provide well-sourced perspectives to a wide audience but they also risks amplifying hidden biases in training data or reflecting other ideological priorities embedded in deployment of these models. Ultimately, their persuasive power arises less from any individual (correct,incorrect,biased) answer and more from their persistent and seamless presence in everyday workflows where over time they can shape public discourse [1]. With this we decided to investigate the opinions or views expressed by some of the major LLMs when prompted or questioned about their opinions on OpenStreetMap (OSM). Given that LLMs will have been trained on data and information related to OSM - papers, blogs, social media, presentations, etc., can we understand the Attitudes Opinions and Values (AOVs) of LLMs to OSM? To the best of out knowledge, there is no research currently reported about this topic. As all major LLMs have been trained on huge volumes of data from the Internet spanning many years, even decades, we make the assumption that it is very likely that LLMs will have consumed papers, articles, presentations, social media, and so on regarding all aspects of OSM and in particular legacy topics such as: data quality, comparison with official or authoritative sources, accuracy, bias in crowdsourced data, and so on. In related work, Santurkar et. al. [2] developed an extensive framework to study the opinions reflected by LLMs and their alignment with different existing human population opinion-based surveys. These surveys were structured multiple choice-type surveys. Everyone involved in the OSM community has their own AOVs about OSM, the OSM ecosystem, OSM strategic direction, and so on. For example, there are often differences in OSM mapper behavior "explained by clashing values and opinions within and across different mapper subgroups" [6]. As mentioned above, we are not aware of any similar work having been carried out so far. The majority of work published about LLMs and OSM revolves around using the LLMs as mapping assistants [7,8] or using LLMs to enrich existing data or allow more accessible approaches to mapping [9]. Other works have considered the ability of chatbots such as ChatGPT to take a GIS exam [10] or exploit the deep contextual understandings in LLMs for building function classification in OSM [11]. Currently, at the time of writing, we are beginning the implementation of this work. However, a high-level description of our methodology is outlined as follows: 1. Selection of the target group of LLMs/chatbots: ChatGPT (GPT-4o / GPT-4-turbo), Microsoft Copilo, Anthro

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 ArcGIS, a routing model was developed to guide individuals to their nearest safe zone during an earthquake. This approach demonstrates how open-source geospatial data and GIS tools can be leveraged for disaster preparedness in high-risk areas. 1. Title: Open Mapping for Urban Resilience: A Routing Model to Nearest Safe Spaces in Earthquake-Vulnerable Dhaka 2. Submission Type: 20-minute talk 3. Abstract: This presentation introduces a GIS-based routing model developed for earthquake preparedness in Dhaka, Bangladesh. By integrating OpenStreetMap data with satellite imagery, the project identifies open spaces and directs urban populations to the nearest safe zones during seismic emergencies. 4. Description: Dhaka is one of the most densely populated cities in the world, with over 20 million residents living in an area of approximately 306 square kilometers. Despite its rapid urbanization, the city faces a severe shortage of open spaces, such as parks, playgrounds, and public squares, which are critical in times of disaster. The urban landscape is dominated by high-rise buildings and commercial complexes, with little consideration for creating large, accessible public spaces. This makes it increasingly difficult to accommodate the population in emergency situations, particularly during a major earthquake. According to the World Bank, Dhaka’s vulnerability to earthquakes is exacerbated by the lack of proper urban planning and outdated infrastructure [6]. A study by Rahman et al. (2015) highlights that most of Dhaka’s infrastructure, including residential buildings and roads, was not designed with seismic safety in mind, making the city highly susceptible to catastrophic damage in the event of an earthquake [2]. In addition to the lack of open spaces, the city's rapid urbanization has led to insufficient planning for evacuation routes and safety measures. Public awareness regarding earthquake preparedness is low, and emergency response systems are not adequately equipped to handle large-scale disasters. Without well-documented open spaces and efficient evacuation routes, the challenge of evacuating residents to safety during an earthquake becomes significantly more complex. The objective of this research is to develop a spatial framework for earthquake emergency evacuation planning by integrating multiple data sources: OpenStreetMap (OSM) road and building layers, satellite-derived open space data, and spatial analysis tools in ArcGIS. The methodology involves three major steps: 1. Open Space Identification: Open spaces were delineated by classifying high-resolution satellite imagery, verified and cross-referenced with existing land use data and field knowledge. Parks, playgrounds, schoolyards, open fields, and other publicly accessible open areas were identified as potential evacuation zones [2]. 2. Urban Feature Mapping with OSM: OSM was used as the primary source for road networks and building footprints. The completeness and accessibility of OSM data enabled detailed modelling of the urban structure [3], and the data was further cleaned and enriched using local knowledge and field validation. 3. Routing Model Development: Using ArcGIS Network Analyst, a routing model was developed to calculate the shortest and most accessible path from any given building or cluster of buildings to the nearest open space [4]. This model considers actual street networks and real-world constraints. Future versions of the model could also include blocked roads or damaged areas during earthquakes to make the routes more realistic. The significance of this work lies in its practical application: in a high-density city like Dhaka, where open spaces are scarce and poorly documented, a pre-disaster preparedness model like this can be integrated into municipal planning, community training, and mobile-based alert systems [1]. By leveraging open-source geospatial data such as OSM and combining it with remote sensing and network analysis, this approach offers a low-cost, scalable, and replicable solution for other vulnerable cities in the Global South [3]. Moreover, this project highlights the power of community mapping and open data in disaster risk reduction. YouthMappers and local GIS volunteers can play a role in validating OSM features and verifying open space locations [3]. Community participation in data validation enhances the credibility of the model and promotes local ownership of the disaster preparedness process. The proposed presentation will: • Demonstrate the technical workflow from satellite image classification to OSM integratio

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 silhouette score for PCA-based clustering was 0.951. The results show superior interpretability of KMeans over HDBSCAN. This repeatable methodology provides a scalable and reference-free solution to take quality assurance of VGI datasets to the front-line, in cases of limited or no authoritative data. OpenStreetMap (OSM) is an important source of geospatial information in data-starved urban areas, where official geospatial data are scarce, outdated, or are not readily available. Increasing need for current and accurate geospatial data in fast urbanizing and under surveyed regions makes the use of OpenStreetMap (OSM) an essential resource. As one of the most representative Volunteered Geographic Information (VGI), OSM offers a free world map that is editable and can be contributed by millions of people [1]. The tool is an essential component for urban analytics, transport planning, disaster risk reduction, and spatial modeling in the world [2], [3], [4]. Although widely used, the quality of OSM data varies greatly across regions and contributor skill level, and there is no unified, system level quality assurance mechanism [5]. This heterogeneity can be risk inducing for users making use of this data for precision tasks (e.g., routing, land use modeling and infrastructure design) [2], [6]. Traditional OSM quality assessments rely on extrinsic comparisons with satellite imagery or authoritative datasets, which are often unavailable in the very regions that need the data the most [7], [8]. To overcome this challenge, a reproducible, unsupervised machine learning framework propose to assess OSM data quality intrinsically, based on contributor behavior metadata alone. Specifically, Dhaka —a data-scarce and fast-growing megacity in Bangladesh select as a study area—using the hypothesis that distinct contributor behavioral patterns correlate with different levels of data reliability. This behavior-centric perspective leverages the insight that contributor frequency, recency, thematic focus, and spatial editing behavior can serve as meaningful proxies for feature quality [5], [9]. Roads and buildings for Dhaka extracts by using by a.osm.pbf with the Pyrosm library. Then enriched feature vector creates for each unique contributor, composed of (total_edits, edit_rate, active_days, spatial_extent, pct_road, pct_building, weekday_activity, days_since_last_edit). Principal Component Analysis (PCA) applies for dimensionality reduction and shows that PC1 roughly represents global mapping activity, while PC2 corresponds to thematic attention (road versus building), and PC3 represents the geographical coverage of contributions. These observations are supported by a feature contribution heatmap (Figure 1.(a)), which indicates that it is reasonable to consider the behavioral features to be interpretable and highly separable in the component-reduced space. PCA has also the purpose of reducing noise and gets the data ready for clustering [10]. Next, KMeans clustering (with k = 4) and HDBSCAN, a density-based clustering is performed on the PCA-transformed feature set. The silhouette score of the KMeans model was 0.951, suggesting high cohesion within the clusters and good separation between the clusters of behaviors. The PCA cluster scatterplot (Figure 1.(c)) indicates four separated clusters: (1) most participants (Figure 1. (b)) fall in cluster 0, which mainly encompasses casual or one-hit contributors who probably participate in sporadic mapathons, or make large scale imports, (2) cluster 1 and 2 consist of moderate to heavy contributors, who are relatively more or less stable, with richer semantic tagging, and whose edits are spatially distributed, (3) cluster 3 is composed of a small group of “power users,” who are characterized by high activity volume and a large geographical distribution. HDBSCAN also use on the same dataset in order to analyze its capability of separating varies densities in clusters and noise. HDBSCAN found small, dense clusters, and labeled a large percentage of contributors as noise. Although helpful for identifying anomalousness and potential vandalism, HDBSCAN was unable to produce as clear clusters for the main contributors as KMeans, likely because the extreme imbalance in contributor engagement. This benchmarking demonstrated that KMeans comes with a better interpretability and cluster stability, and is therefore preferred for behavioral segmentation at the high volumes of OSM dataset. To further verify the clustering, the changes in edit volume over time per cluster investigated, and calculated feature distr

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 projects and humanitarian mapping collaboration. This presentation outlines the project's implementation steps and showcases the remarkable results achieved by not only participating students but also organizers. 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 bridges theoretical learning with practical applications using open-source geospatial tools and collaborative mapping on the OpenStreetMap (OSM) platform. The idea is to establish an European mapping network similar to YouthMappers. This presentation outlines the project's implementation steps and showcases the remarkable results achieved by participating students. The project involves three universities (Politecnico di Milano, Universidad Politécnica de Madrid, and Presovska Univerzita V Presov) and five secondary schools located in Italy, Spain, Slovakia, Romania, and Portugal, engaging approximately 160 students in total. The management of the project is done by Euronike, which is an association expert in capacity building activities and EU policies. Until now, the project has been running for two years, and was implemented in three phases. 1. Development of training materials: a comprehensive training package on open geospatial tools and data analysis was written and made available in six languages (English, Italian, Spanish, Portuguese, Slovakian and Romanian). This training was first delivered to teachers, who then transferred the knowledge to their students. 2. Local mapping projects: under the guidance of their teachers and with university collaboration, students developed local mapping initiatives from ideation to implementation, focusing on data acquisition and visualization techniques. Across five European cities, pupils carried out mapping-focused projects that combined local engagement with practical outcomes. In Rovereto (Italy), students identified drainage channels on forest roads in the “Bosco della Città” as a central issue and mapped them using GPS and drone imagery. Since such features had never been mapped on OSM, they engaged with the OSM community to propose and share a new mapping methodology. The resulting maps and database now support both routine and extraordinary maintenance by the Rovereto Forestry Service, helping mitigate hydrogeological risks. In Madrid (Spain), pupils mapped key elements related to mobility, leisure spaces, and climate shelters in the Arganzuela neighborhood. Working in groups, they identified and analyzed public space features, and then proposed concrete improvements to enhance young people’s quality of life, which they presented at local events and forums. In Prešov (Slovakia), students focused on tree mapping in central city parks. After ecological training, they collected detailed data—such as species, trunk width, and height—using practical tools and mobile apps. Their results contributed to urban ecological databases and were showcased to the public during their school’s open-door day. In Lisbon (Portugal), pupils explored how graffiti and street art reflect local identity by mapping urban artworks around their school. Through documentation and critical analysis, they created a record of artistic interventions with social and historical value, culminating in a community event promoting dialogue on youth expression in public space. In Pitești (Romania), students diagnosed low public awareness of recycling facilities and mapped the location, accessibility, and types of waste accepted at collection points. Their interactive map aimed to make recycling easier and more visible, encouraging environmental responsibility across the city. These projects show how pupil-led mapping activities can generate innovative tools, influence local planning, and foster active citizenship. 3. Humanitarian mapping collaboration: as the final activity, students participated in a humanitarian mapping project issued by the United Nations Global Service Centre (UNGSC). There were two workshops about humanitarian mapping and Sustainable Development Goals (SDGs) in order to provide students basic knowledge about humanitarian mapping and their contribution to common goods. Students are then trained on humanitarian mapping simulation projects before actually participating in a real-world scenario proposed by UN Maps, a programme in UNGSC to enhance UN peacekeeping missions operational capabilities through open geospatial information. The training project on