Chaos Computer Club - archive feed

We will present Sculpt OS, a showcase of the Genode Operating System Framework. We will present Sculpt OS, a showcase of the Genode Operating System Framework developed at Genode Labs in Dresden. Following a brief introduction to microkernels and hard facts about Genode, we will explore various Sculpt features on a live system. We will top off the talk with a look at the SDK. Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/XBNY7R/

Der Vortrag stellt 5 Schritte zur Verbesserung der oft miserablen Diskussionskultur im Netz vor. Auch unter Menschen, die grundsätzlich ähnliche Ziele haben (Demokratie stärken, in einem Projekt zusammenarbeiten, ...) verlaufen digitale Diskussionen oft unkonstruktiv oder sie eskalieren sogar. Das kostet Nerven und Ressourcen, die eigentlich dringend u. a. für die Verteidigung der FDGO gegen Totalitarismus und Klimastress gebraucht werden. Die Initiative für konstruktive digitale Diskussionskultur (<https://kddk.eu>) hat einen **konkreten Lösungsvorschlag**: Eine Selbstverpflichtung auf acht Regeln für konstruktives Diskutieren. Wenn ein eigener Beitrag diesen Regeln entspricht, kann er mit einem speziellen Hashtag gekennzeichnet werden (→ opt-in). Dadurch ist es möglich, mit Hilfe eines Tools "konstruktive" Beiträge herauszufiltern und somit unter den vielen anderen (mutmaßlich weniger relevanten) Beiträgen zu mehr Sichtbarkeit zu verhelfen. Mit anderen Worten: Durch diese gefilterte Ansicht verbessert sich das Signal-Rausch-Verhältnis erheblich, ohne dass dadurch Änderungen an der Plattform notwendig sind. Zum Ansatz gehören weiterhin Konzepte für Troll-Resilienz und verteilte Moderation sowie geeignete Anreizstrukturen. Das Ziel ist, plattformübergreifende virtuelle Räume zu etablieren in denen konstruktiv auch über kontroverse Themen diskutiert werden kann – und dadurch Lösungen für objektive Probleme zu finden. Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/YCNET8/

Opening Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/PSGSBK/

Updates on new government in Finland by Antti Rautiainen In spring of 2023, after center-left government of Sanna Marin was defeated in Finnish elections, leader of neoliberal National Coalition party invited right-wing populist Perussuomalaiset (Finns, literal translation Basic Finns) -party to form the most right-wing government in Finland since 1920’s. Since then, multiple protest movements have arisen in Finland, against austerity, anti-immigrant and anti-labor measures of the government, and revealed racist messages and cooperation of right-wing populist with Nazis. Labour unions declared wave of strikes, including halting of most Finnish foreign trade for 1 month in spring of 2024. However, this far protest movements have gained only minor victories. How history of the right-wing populism in Finland explains its relatively easy access to positions of power? What are lessons of the 2023-2024 protest movement in Finland for movements in other countries, struggling against rise of the right-wing populism and far right? Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/RFXFNE/

Freie Software Freies Wissen USB-Live-Linux: ideal für OER-Verbreitung & Nutzung von Lernenden Seit 2019 bietet die Hochschulgruppe „Freie Software — Freies Wissen“ (FSFW-Dresden.de) zusammen mit dem Chaos Computer Club Dresden (C3D2) an zwei Dresdener Schulen Computerkurse (für die Klassen 4 - 7) an. Dabei nutzen wir eine „Schulstick“ genannte und auf dem bewährten Debian-Linux aufbauende Software-Sammlung, deren Entwicklung 2016 als „Uni-Stick“ an der TU Dresden begann und die mittlerweile eine umfassende Lern-, Spiel- und Arbeitsplattform für Schülerinnen und Schüler von der Grundschule bis zum Abschluss bietet. Eine große Vielfalt aktueller Freier Software inklusive Betriebssystem wird so auf handelsübliche USB-Sticks (min. 16GiB, Kosten etwa 6€) kopiert, dass jeder Desktop- oder Notebook-Rechner (x86 mit mehr als 2GiB Arbeitsspeicher) damit innerhalb von zwei Minuten gestartet und benutzt werden kann, ohne dass die bereits auf dem Computer installierte Software verändert wird. Dies ermöglicht z.B. die Nutzung auf Hardware der Eltern oder Geschwister, ohne dass diese Angst haben müssen, dass etwas an ihrem System beschädigt werden kann. Die auf dem Schulstick enthaltenen Programme sind kindgerecht ausgewählt und vorkonfiguriert und stehen ohne Download, Installation und Registrierung sofort zur Verfügung. Auch eine stetig wachsende Anzahl an „Open Educational Resources“ (OER), d.h. frei verfügbaren Bildungsmaterialien, sind auf dem Stick zu finden. Somit erhalten die Schülerinnen und Schüler einen mächtigen digitalen Werkzeugkasten in Daumennagelgröße, mit dem sie ihr persönliches System auf jeder geeigneten Hardware in der Schule und zuhause starten können. Neben dem Schulstick und dem Unistick gibt es noch eine weitere Stick-Variante, die sich an „Maker“ richtet und eine erweiterte Softwareauswahl (u.a. für 3D-Druck) hat. Eine aktuelle Version des Schulsticks zum Download und weitere Informationen sind auf https://schulstick.org/ zu finden. Im Vortrag auf den datenspuren2024 zeigen wir diverse Anwendungen wie CircuitJS, FreeTube, YouTube, Ranger, GDU und viele mehr. Zusätzlich präsentieren wir die Customizations: - Im Firefox haben wir Usability-Hacks und Add-ons integriert, um ihn vorkonfiguriert ohne nervige Meldungen beim ersten Start zu nutzen – was eine knifflige Herausforderung darstellt! - Unser Terminal-Desktop ist mit einer umfangreichen tmux, Ranger, Vim und einer Git-Toolsuite sowie einer speziellen Konfiguration ausgestattet. - Wir bieten einen Theme-Umschalter für hell und dunkel sowie einen automatischen Nachtmodus mit einstellbarem Blaufilterübergang. - Außerdem haben wir dicke Scrollbalken implementiert und ein Easter Egg im Makerstick versteckt. Wir zeigen auch die Historie im Repository sowie die Contributors-Page auf GitHub. Darüber hinaus präsentieren wir die Stickvarianten und die durch Symlinks aktivierten Features. Ein weiterer Punkt sind die Bash-Buildskripte, die Verwendung von jq und die Feature-install-hooks; zukünftig planen wir eventuell den Einsatz von Python und mehr nativen Debian-Paketen. Abschließend geben wir einen Ausblick auf die Entwicklung einer OER-Portal-App (hier gibt es Fördermittel und Unterstützungsbedarf!) und eines ML-unterstützten GUI-Assistenten, sowie ein i18n-Bootmenü. Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/YCVJNS/

In der 4. Auflage des DFC wollen wir mit Nele Hirsch die Protentiale des freien Internets feiern. „Das Internet“ erscheint uns häufig eher unter dem Blickwinkel von Problemen und Herausforderungen. Aber was ist eigentlich das Tolle, Gute und Schöne am Internet? Was bedeuten die Möglichkeiten der räumlichen und zeitlich unabhängigen Kommunikation und der Zugriff auf weltweites Wissen? Das Internet bietet unendliche Möglichkeiten der Kooperation und Kollaboration, des Teilens von Wissen und der Teilhabe. Aber diese Potenziale entfalten sich nur, wenn wir sie aktiv gestalten. In diesem Vortrag berichtet Nele Hirsch (freiberufliche Pädagogin im eBildungslabor) von ihren Erfahrungen mit dieser Herausforderung. Themen sind unter anderem das offene Teilen dank freien und offenen Bildungsmaterialien und Creative Commons, die Entwicklung eines Geschäftsmodells des Teilens mit freuen Lizenzen. Die Fallstricke einer mündigen Mediennutzung, die Vernetzung über das Fediverse (ein Zusammenschluss unabhängiger sozialer Netzwerke) und die Freuden eines eigenen Zuhauses im Internet mit einer eigenen Domain. Aufbauend auf dem Impuls ist Raum um gemeinsam zu diskutieren, wie wir gemeinsam eine Zukunft schaffen, in der freies Wissen und digitale Mündigkeit das Fundament für eine soziale, nachhaltige und demokratische Gesellschaft bilden. Vortrag mit Diskussionsrunde in der Reihe Digital Fight Club. Der Digital Fight Club ist ein Angebot an alle, die sich für die aktuellen netzpolitischen Themen und Entwicklungen interessieren, an einem regelmäßigen Austausch interessiert sind und sich gemeinsam für ein besseres Internet einsetzen möchten. Wir beginnen mit grundlegenden Informationsangeboten und Impulsvorträgen. Im Anschluss bleibt Raum für Fragen, einen gemeinsamen Austausch und Diskussion sowie ein gemeinsames Nachdenken darüber, welche (politischen) Handlungsperspektiven zu dem jeweiligen Themenbereich möglich sind und welche politischen Forderungen sich ableiten lassen. Die Impulsvorträge behandeln jeweils ein konkretes netzpolitisches Thema. Sie geben Einblick, ordnen ein und verdeutlichen Zusammenhänge. Dadurch werden die teilweise vielschichtigen Themen besser verständlich und Einflussmöglichkeiten der Zivilgesellschaft deutlich. Die Reihe ist eine Kooperation des Medienkulturzentrum Dresden e.V., der Sächsischen Landeszentrale für politische Bildung, der Landeszentrale für politische Bildung des Saarlandes, der Hessischen Landeszentrale für politische Bildung, der Landeszentrale für politische Bildung Rheinland-Pfalz und der Volkshochschule Dresden. Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/9BLCMK/

Vortrag und Gespräch Denjenigen, die sich mit der jüdischen Gewerkschafts- und Arbeiter:innenbewegung beschäftigen, ist auch der Anarchismus ein Begriff, der von Anfang an ein treibender Teil der Bewegung gewesen war. Emma Goldman, Morris Vinchevski, Morris Rosenfeld, David Edelstadt, Josef Bovshover, Jacob und Katharina Merison sind so bekannte wie unterschiedliche Figuren, die im sozialistischen wie anarchistischen Milieu aktiv waren. Wir werden uns im Vortrag mit dem Denken dieser Personen auseinandersetzen und einen Einblick in die Grundlagen, typischen Merkmale und osteuropäischen Spezifika der jüdisch-anarchistischen Bewegung bekommen. Der Vortrag gibt einen knappen Überblick über einschneidende historische Ereignisse und die Differenzen innerhalb der Bewegung, darunter auch die Debatten um Klasse, Nation und Religion. Der Vortrag dauert ca. eine Stunde, danach ist Zeit für Fragen und Diskussion. Licensed to the public under https://creativecommons.org/licenses/by/4.0/de/ about this event: https://talks.datenspuren.de/ds24/talk/DBM9YN/

Am 7. März 2021 hat das Schweizer Stimmvolk den Vorschlag für eine privatwirtschaftlich betriebene E-ID wuchtig abgelehnt. Kurz darauf verlangte das Parlament vom Bund eine vom Staat herausgegebene und Privatsphäre schonende E-ID zu entwickeln. Seither sind mehr als drei Jahre vergangen. Nun möchten wir herausfinden, was der aktuelle Stand bei diesem Projekt ist. Am Abend sind Annett Laube, Professorin für Informatik und Leiterin des Institute for Data Applications and Security der Berner Fachhochschule, Rolf Rauschenbach, Informationsbeauftragter E-ID beim Bundesamt für Justiz und Daniel Säuberli, Präsident der Digital Identity and Data Sovereignty Association (DIDAS), zu Gast. Rolf Rauschenbach fragen wir, welche technischen Entscheide warum getroffen wurden und welche noch offen sind. Annett Laube fragen wir, wie die Wissenschaft vom gewählten Ansatz punkto Privatsphäre, Sicherheit und technischem «State of the Art Level» meint. Weiter diskutieren wir, warum nun – entgegen dem ursprünglichen Versprechen – doch weitgehend auf die Veröffentlichung als Open Source Software verzichtet werden soll. about this event: https://www.digitale-gesellschaft.ch/event/netzpolitischer-abend-zu-stand-der-entwicklung-der-staatlichen-e-id/

Pre-recorded lightning talks are short presentations (maximum 5 minutes) about a topic related to OpenStreetMap. ## Mapping the Infrastructure for Disaster Risk Reduction with OpenStreetMap, uMap and Wordpress _by Raquel Dezidério Souto_ This web map is part of a research project that aims to provide a platform for mapping official and collaborative data on risk reduction and disasters that have occurred in the state of Rio de Janeiro (Brazil), with the municipality of Maricá as the project's pilot area of interest (AOI). Background music: "Science Documentary" by Lexin_Music, https://pixabay.com/music/build-up-scenes-science-documentary-169621/, [Pixabay Content License](https://pixabay.com/service/license-summary/) Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/TY73TC/

We say goodby to this year's State of the Map conference and to Nairobi. You will see some impressions of the conference and we say thank you to all volunteers and to the local team of Nairobi. We hope that we can already announce the venue of State of the Map 2025. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/8ZVKZV/

Openstreet map has for a long time been treated as a road map, enabling you to find a route between two points, as well as an information map, gathering various points of interests. Together with students of the UKEN University from Krakow, we decided to look at the use of OSM as a environmental map also showing the transformation of space by humans. The speech is the result of exercises conducted by employees of the Geoinformation Research Team and students of the UKEN University in Krakow, Poland. The basic assumption we made is that OpenStreetMap can be sufficient as a data provider for various geographical works - as a base map for field exercises, as an almost complete environmental database for some compact area (such as an island or a national park). After reviewing the list of tags describing the geographic environment in OSM, we knew this would be possible. We have selected several research polygons, which we call cartographic polygons. These include the Peljesac Peninsula in Croatia, the Aegean Coast near Thessaloniki in Greece, the area around Lake Inari, the Lemenjoki National Park in Finland, and the wild Bieszczady Mountains in Poland. We selected the training fields so that they were both places with nature close to natural conditions and places significantly transformed by human activity. Usually, these were also important places for some key reasons - for example, on the Peljesac Peninsula, a bridge was built to facilitate communication between the two parts of Dalmatia. Not all places were visited, but we have collected cartographic material for all of them. Before each trip, we trained a group of participants on how to use and supplement OSM. Each participant set up their own user account. Field work consisted of completing the content of OpenstreetMap as accurately as possible - groups of two people were sent into the field and, using the OSMAND or EveryDoor applications, they inserted all interesting objects on the map. The rest is small-scale work - tedious verification and editing of the map in the JOSM editor. Each stage of work was also preceded by a thorough analysis of official OSM tags - which constitute information about all elements of the natural environment. It was found that the best represented features were those related to relief, land cover and hydrology. In particular, the content regarding land cover (down to a single tree and bush), and the richness of descriptions of relief forms (OSM WIKI, Glossary of landforms) allow the creation of appropriate thematic maps - landcover maps and geomorphological maps. The principle adopted in JOSM is that we complete the map to the highest degree of accuracy possible using available data and processing capacity. For example, we supplement the terrain coverage for Poland from the available official orthophotomap from the national geoportal with a terrain resolution of 5 cm. The distinction between land cover types is made by students of higher years of geography, so there should not be too many interpretation errors. What information is completed on the map? As for the relief of the land - valleys and valley types, rock walls, erosion undercuts, landslides and landslide niches. When it comes to hydrological elements, using scientific publications, we entered the exact location of the sources (along with a description of water chemistry and name, if this data was available). An additional module of our work is urban micromapping - We check how accurately we can supplement field data so that they can serve two purposes - for students and spatial planning specialists in the analysis and inventory of urban space, and for people with disabilities as a base for accessibility maps used in applications, e.g. blind . For this purpose, we carried out tests of terrain mapping using a geodetic GPS receiver (STONEX 900A). We chose the area on the campus of our university due to the presence of the remains of an old water bed supplying water to mills and a city moat - a lot of unevenness, steps, suddenly ending sidewalks, etc. Additionally, we have also started work on old housing estates in Krakow's Nowa Huta district - inhabited mainly by older people, and therefore often beneficiaries of all programs regarding the availability of public facilities and apartments. Approximately one thousand points were measured in the above locations with an accuracy of 2 mm - 1 cm. In further stages, they will serve as the basis for the point cloud made during unmanned aerial vehicle raids. A number of additional works were also carried out as part of the project, e.g. wild waste dumps in the Ojców National Park were mapped and marked (we will most likely use the tag amenity=waste_dump_site) All work on the project resulted not only in a significant improvement in the quality of the OSM map, but also in the training of a large team who, in their free time, complete OSM data in their area. Both the intimate and field parts of the work are still in progress.

OpenStreetMap Foundation Board Ask Us Anything (i.e. AMA). We will take questions from the audience, or other questions that people can submit before the event, and we will talk about and answer them. We can talk about the past actions of the board, and what future plans we have. This is a chance to ask the OSM Foundation Board questions, to engage with the board. Let’s have a conversation about the Foundation, 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, how you can 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://2024.stateofthemap.org/sessions/C8UWGW/

This talk presents a systems perspective analysis of events in October-November 2023 which started with large-scale vandalism of OpenStreetMap data in Israel and ended with the introduction of rate limiting. Noting how the project reacted in face of this unique situation and the undermining of its basic assumptions facilitating the project helps uncover resilience- and vulnerability-inducing mechanisms within it, to characterize the range of possible external influences on the project, and assess their possible outcomes. OpenStreetMap (OSM) is generally considered to be a ‘do-ocracy’ [1], a governing system in which power stems from doing and those who do more (contribute more) have greater ability to influence the project. This does not mean that hierarchy within OSM is entirely bottom-up, as Fast & Rimmer’s systems perspective model of a Volunteered Geographic Information project suggests [2] - it is made of interconnected components (the technical infrastructure, project, and contributors) each providing a different level of direct access to the core of the project. Entities may move between these components, but a certain level of separation still exists, enforced informally or formally by gatekeeping procedures or individual acts. The fuzziness of borders and the interdependence of components open for multiple types of interactions that may translate to major impacts on the nature of the project. In this talk we use communication records from various media (the OSM_Israel Telegram group [3], community forum discussions [4,5], and GitHub issues [6,7]) to: i) to analyse a specific set of events - the politically-motivated edits in Israel and the subsequent introduction of rate limiting in OSM [8] - from a systems perspective; and ii) conceptually explore power dynamics and impacts within collaborative geodata projects and specifically OSM along with their implications for the project’s vulnerability and resilience. The chain of events started on 20 October 2023, when two members of the OSM_Israel Telegram group [3] reported receiving offensive comments on their recent edits. One of them noted that the commenting user was performing edits to the OSM data in Israel that were clearly acts of vandalism, i.e. deleting and distorting data. It was only the day after that the members of the Telegram group realised that these acts were part of a greater effort in which 3 newly registered OSM users were performing large-scale deletions and distortions of data in Israel. The timing of these edits, taking place while the Israel Defense Forces were launching airstrikes over Gaza strip in retaliation of the 7 October attack by Hamas, and their related changeset comments, e.g. “There is no country Israel & Free Palestine”, clearly attested that they were politically-motivated (For a representative example, see [9]). The events were quickly reported to the OSM Foundation’s (OSMF) Data Working Group (DWG), the voluntary body responsible for handling data issues such as copyright infringement and vandalism. The DWG issued bans to involved users, yet these were replaced in the next few days by more new users together making tens of thousands of similar edits. Meanwhile, one user, responding to these acts, further vandaled the map by ‘annexing’ part of the Gaza strip [10]. In the immediate aftermath of these events, most of the OSM data for Tel Aviv was deleted from the map and data all across Israel and the eastern Mediterranean basin, as far as Crete, Cyprus, and Turkey, suffered from distortions (the scripts the vandal accounts were using automatically distorted random objects crossing the area of Israel, including objects such as coastlines that extend beyond these boundaries). Yet the impacts of the events did not end with the DWG reverting the vandal edits. These events had a direct connection with the introduction of a daily rate limit (set individually based on the seniority of the editing user and the number of edited entities, among other things [8]). The idea of such a limit had already existed for a while and was discussed within dedicated GitHub issues [6,7], yet it was only after members of the Israeli OSM community had commented within these issues and in a related community forum discussion [5] that the notion had been implemented. Interestingly, a DWG member which was handling the bans and reverts was the one who referenced the Israeli community to the forum discussion - in response to a question raised in the Israeli Telegram about whether any measures have been implemented to ensure this would not happen again, this user had suggested that they will ask that question in the relevant forum discussion. As extreme as this vandalism case was in comparison to other acts of vandalism or politically-motivated edits, its outcome tells a story regarding the fluidity of power dynamics within the project and accordingly - its vulnerability- and resilience-inducing mechanisms. The enforcement of rate limiting

Following a theoretical and methodological analysis of the scientific literature on PGIS, this study aims to explore the unexplored potential of the connections between PGIS (using OSM) and digital humanitarianism, as well as the empirical references from a case study in Morocco. INTRODUCTION / BACKGROUND Considering that NGOs and International Organizations have been applying PRA methodologies to community mapping for over two decades without any scientific recognition, we could subscribe to the general opinion that among practitioners, researchers, and activists, the practice of Web-GIS with OSM is more advanced than the underlying theory of its applications [12]. The so-called "digital humanitarianism" can support climate justice by providing tools and platforms for data collection, analysis, and dissemination that empower vulnerable communities to advocate for their rights, mobilize for climate action and advance equitable solutions. Overall, digital humanitarianism can amplify the voices of marginalized communities, enhance transparency and accountability, and promote greater inclusivity in the fight for climate justice. Digital humanitarianism is located at the intersection of new socio-technical practices, a new epistemology, and new institutional relationships [5; 8], as demonstrated by communities like Ushahidi, the Humanitarian OpenStreetMapTeam (HOTOSM), and the Missing Maps. PURPOSE OF THE STUDY The study aims to gain a better understanding of the nature of the link between crowd-mapping and participatory planning by analysing the distinctive features of the application case, the criticalities and problems that emerged, and the possible strategies to be activated to tackle them especially in contexts where people living in rural and remote areas and in peri-urban areas face problems such as inadequate access to essential resources, such as food and water security, and are more exposed to low quality basic services (health and education) and the effects of natural disasters. This fosters inequality, can limit capabilities and promote environmental injustice. METHODOLOGY AND FINDINGS The fieldwork is part of an emergency intervention led by a consortium project combining five NGOs financed by Caritas, with an overall objective of assisting the population impacted by the earthquake that struck in Morocco on September 8 and 9, 2023. As part of this intervention, which calls for various support measures (distribution of family kits, distribution of housing tents and school modules, social-health interventions and psychological support), a humanitarian mapping action is currently being carried out with the help of a group of women belonging to a popular radio station attentive to 'open data'. The project starts from an integrated strategy that brings together humanitarian mapping and future labs, presenting a dynamic approach to addressing social challenges in post-emergency contexts and crisis areas. Case study: the contribution to crowd - mapping experimentation (training, definition of a working group, creation of a virtual mapping environment with the use of OSM and Osmand) is investigated, an ongoing process started by OfficianSocialeCOPE (the Research Centre of COPE ONG) and the University of Catania and Palermo (Italy) within the context of a post-emergence project (which will end in July 2024l supporting the victims of the Earthquake of September 2023 in Morocco with an approach to address the perception of individual and collective vulnerability in a rural post-emergency context. The expected maps are also employed in contrasting contexts, such as in counter-mapping initiatives where indigenous communities (in the case of High Atlas and Sahara villages) seek to regain a certain level of control over ancestral lands and city neighborhoods, resources and services by utilizing participatory mapping methodologies. This makes people aware of their power of pressing issues on local government policies. Localisation of the territorial landmarks reference points takes into account the WEF (Water, Energy, Food) nexus's provided topics, which included access to fresh food, electricity, and water, as well as other issues that the participants perceive as significant to the neighborhood, (watercourses forests, cultivated areas, potholes, etc. in rural areas, but also small income generating activities potentials). More specifically, residents, through PGIS mapping tools for on field visit, report issues such as the level of connection of remote areas with other villages and secondary roads, natural and artificial water sources, soil dryness and exposition to drought in High Atlas, as well as associative realities such as cooperatives or Community Based (CSOs) already established or expressing the will to formalise to create income and revenues. It is critical to consolidate/train the social labs' working groups, which will be made up of territorial representatives and stakeholde

This paper presents the learning outcomes of a Mini-Mapathon course developed, implemented, and evaluated for the first time in a population of 28 Asian Junior high school ELL students in three Human Geography courses at an international high school. The paper includes an introduction to crisis mapping and concludes with an analysis of students’ knowledge and skill gains, and attitudes towards map making. Students’ survey responses were analyzed using mixed methods. In conclusion, the paper proposes that the Mini-Mapathon course could be implemented in other schools with a larger sample size to investigate learning outcomes. . I designed and developed the Mini-Mapathon curriculum to answer three key research questions below. 1. How did the design support changes in students’ perceptions of their crisis mapping knowledge and skills? 2. How did participating in the Mini-Mapathon support student expressed interest in crisis mapping in the future? 3. How did the Mini-Mapathon support students in engaging crisis mapping? I designed and delivered the Mini-Mapathon, via three 45-minute Human Geography courses to 28 junior Asian high school students at an international school in Beijing, China. The English Language Learners (ELL) student population were all Chinese and their ages ranged from 16-18, consisting of 15 male students and 13 female students. Prior to implementing the research project with 28 Human Geography students, I researched the best way to teach crisis mapping to ELL students by participating in Mapathons and Mapalongs. I piloted three crisis mapping Mini-Mapathons for 55 Asian 4th grade students in three classrooms after learning crisis mapping was done effectively with 10 year old students in Milan, Italy (Gaspari, et al., 2021). The pilot programs with 4th grade Asian students and subsequent project were implemented only after the 4th grade students learned about crises in their IB-PYP curriculum, and after I conducted an extensive literature review of this relatively new (2005), interdisciplinary and innovative field of crisis mapping, investigated many mapping software platforms, and spoke to representatives from www.ushahidi.org, www.hotosm.org , and www.missingmaps.com. A website was built (www.crisismapping.weebly.com) to turn the Mini-Mapathon experience into an exportable educational activity that could be replicated or delivered in formal and informal learning environments. Using the ADDIE approach, I sought to design, implement, and evaluate a Mini-Mapathon curriculum to answer my three research questions. I implemented my applied research project on teaching crisis mapping through a Mini-Mapathon and collected pre and post surveys in late April, 2022, during the spring semester at an international high school in my three Human Geography classes. Twenty-eight Asian students participated in the Mini-Mapathon so that medicine and services could be delivered to vulnerable populations in Nigeria and Zimbabwe by Doctors Without Borders and The Red Cross. During the 45 minute Mini-Mapathons, students were taught how to map buildings and roads using Humanitarian Open Street Mapping software via www.hotosm.org and they took pre and post surveys so that I could better understand and measure how students learn during Mapathons and determine if my methodology for teaching crisis mapping was effective (Branch, 2009). The learning objectives of the Mini-Mapathon design were as follows: 1) Students will be able to co-create interactive open street maps using geo-spatial software. 2) Students will be able to analyze the role maps play in crisis response such as refugee crises and disasters and identify the stakeholders including citizens, international humanitarian organizations such as UNHCR, Doctors Without Borders, and Red Cross, NGO’s, government agencies, and military branches. 3) Students will be able to develop geographical knowledge and spatial awareness. I delivered pre and post surveys to better understand how students learn, what they learn, and assess the quality of crisis mapping instruction in my three Human Geography courses with 28 Asian high school students. How to Create an Account tutorial along with the other static and video tutorials can now be found on the website I built www.crisismapping.weebly.com. I began each class with a 2–3-minute video focusing on the problem, population in need and showcasing the work of the Spanish Red Cross, UNHCR, or Doctors Without Borders, to increase cultural and historical context and show the organization who can operationalize our map to provide relief to those in need. I then proceeded to explain that some places do not have accurate maps because they do not have Google cars driving around or adequate resources in the government to make up to date maps, however, volunteers like us can make the new maps together using satellite imagery. I asked the students to create their own OSM accounts in previous classes because we had been using the OpenS

So you want to improve the map of your village or city. How do you do that — install Mapillary and go cycling? Print a map and use a pen to draw over it? Install an editor app and go tapping buttons? Just try to remember everything and bring it home to map in JOSM? Let's see what tools we have and how to make the best map with no money and lots of enthusiasm. Ground surveying for OpenStreetMap has been my passion for 14 years. In this time I tried virtually everything: from drawing walking papers by hand or printing them, to making photos, audio notes, using mobile editors, even building a hardware thing to attach to a car wheel. Ultimately I want to help everybody to collect as much data for OSM as possible, with the best quality attainable. And in this talk, I will dig some of the surveying history, as well as demonstrate a few modern ways, including the new notes mode present in Every Door app. You would definitely want to go out and map after seeing this talk. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/SC7HYF/

A discussion of the results of a survey distributed to corporate editors working in OSM. In recent years, OpenStreetMap (OSM) has evolved from being a Volunteered Geographic Information Project to one of the most successful Geospatial Crowdsourcing Platforms in the world. Volunteers, governments, and corporations all make contributions to its global map. Corporate editors (CEs) are the latest entrant in the OSM ecosystem, and their prolific contributions have drawn significant interest from the OSM community as well as the scientific community. In 2018, the OpenStreetMap Foundation introduced a set of Organized Editing Guidelines in response to community outcry related to the edits made by these CEs and a perceived lack of dialogue and transparency between corporations and the larger community. Previous research has focused on the changing landscape of OSM users with the growth of corporate editing, cataloguing the global footprint of corporate editing and the map features that CEs are editing. Others have studied the impacts of having a dedicated workforce that can make significant changes to the map in a very short period of time, as CEs were shown to have different editing habits than volunteer mappers. This study focuses on the CEs themselves, as while other research has explored the impacts of their existence, they have not explored who these editors are, and the reason for their employment. We sought to learn more about the demographic makeup, careers, and motivations and community relationships of these individuals. With these three research objectives, we created an anonymous mixed methods survey that was distributed directly to every listed CE account provided in accordance with the Organized Editing Guidelines on the OSMwiki. Non-exclusive groups were created prior to the collection of results based on previous literature and our research objectives. These groups were then compared to each other using ANOVA and compared to the population using T-tests in R . A non-exclusive typology was also created after results were collected to allow for further analysis of results. This typology was based on the statistical distribution of answers to key questions and it, paired with the groups created based on literature, allowed for a multi-pronged analysis. The findings reveal that corporate editing in OSM is a legitimate career path and can be more nuanced than simply adding or editing features on the map. Though the most popular employment length was one year, some participants had been employed for upwards of five years. There is a group of CEs that spend almost no time directly editing the map in OSM, yet – on average – have been employed for longer than those who spend the most time editing. Given that over a third of participants mapped in OSM prior to their employment as a CE, it was not surprising that there are ties between CEs and the OSM community, but we found that there was a link between community involvement and job satisfaction, as there was significant overlap between the most satisfied and most involved respondents. When editing, all respondents edited a variety of features, no specialization where a CE would only work with a single feature type was seen. Some editors edited the map before making it a career, some started editing on their free time after getting a job as a corporate editor, and others do not map outside of work. There is also a variety of salary types with an hourly wage being the most popular, but other CEs being paid a monthly or annual salary. A profile of a typical CE was created using the mode of each question’s response and reveals many are enjoying their jobs and would like to continue. There is insight into the workplace by depicting the resources available to editors and a general framework of their work week, with 8-hour days, one project meeting per week, and good relationships between colleagues. There is not much direct interaction between the typical CE and members of the community, but they do use community resources (like OSMwiki) and consider its status as an open project important to their employ in the field. Unfortunately, we encountered several challenges in reaching out to individual editors as the organizations they work for explicitly prevented them from answering the survey. This had a significant impact on our ability to collect responses, as over half the CE community was made unavailable to this study. Due to low participation numbers, we must establish that our results do not serve as a definite representation of CEs. Low participation was also the rationale for the multi-pronged analysis, as we sought to learn as much as possible from a limited population. Though all CEs reserve the right to not participate in this study, the blanket refusal seen by some corporations is at odds with the autonomous agency which has been a tradition of OSM. At one company, all direct messages sent to any of their CE accounts on OSM redirect to the inbox of their

Lightning talks are short presentations (maximum 5 minutes) about a topic related to OpenStreetMap. ## Hot course in OSM data use (new course!) _by Sam Colchester_ ## Hot OpenSummit '23-24 _by Geoffrey Kateregga_ ## OSM Malawi: Insights into the contributions of the OSM community _by Priscilla Kapolo_ ## The growth of OSM community in Zambia (Local knowledge mapping) _by Priscovia Ng'ambi_ ## QField - an efficient way for field mapping & data collection _by Micheal Kaluba_ ## Maps that matter: Fighting climate crisis with maps _by Babalola Oluwabukola_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/8NU7CS/

This talk will look at corporate editing in OSM at three scales - global, national and local. Our results show that corporate editing increased from 2016 to 2021, but has decreased since then. Nevertheless, in recent years there has been a diversification of corporations, with an increase in edits from Digital Egypt or Grab and other smaller corporations. Corporate mapping tends to focus more on high and medium HDI regions, but our results also suggest that there is only a small influence of corporate mapping dynamics on other parts of the OSM mapping community in a country. Introduction: In recent years, with the emergence of corporate editing in OpenStreetMap (OSM), there has been interest, and in some cases concern, about its influence in OSM. For instance, large corporations like such as Apple, Microsoft, Meta and Amazon have hired large teams to edit in OSM ​[1]. The launch of the Overture Maps Foundation, by Amazon, Meta, Microsoft and TomTom hosted by the Linux Foundation in 2022 and the release of its first dataset [2] has also led to heated debates on the OSM forum, regarding the future of OSM. Concerns have been raised about the monopolisation of geodata, the replacement of OSM by other sites or the backlining of OSM [3]. Consequently, analysing and continuously monitoring the impact of corporate contributors and continuing to observe their fluctuating patterns of editing will be significant to the understanding of the sustainability of OSM. Therefore, this talk will look at corporate editing in OSM at three scales - global, national and local to answer the two research questions: (RQ1) What is the impact of corporate mapping on global scale mapping? (RQ2) What is the impact of corporate mapping on country and small-scale mapping? Methodology: There are two main avenues to track corporate contributors: Either through corporate affiliated OSM User IDs (UIDs) or through corporate hashtags in OSM changesets. UIDs of corporation affiliated mappers have been used in the past to track corporate activity in OSM (e.g. [1, 4, 5]). A list of affiliated usernames can be collected from disclosed lists on the OSM Wiki or corporations GitHub pages [6]. The second way to track corporate edits is through corporate hashtags in changesets. Since 2009, it became possible to add hashtags to changesets in OSM, and this has become common practice, especially to show affiliation to regions, events, organisations or corporations [7]. For the analysis presented here, in total 24 companies were tracked including Apple, Kaart, Amazon, Microsoft, TomTom, Grab, DigitalEgypt, Mapbox and Meta. We used tracking with hashtags was used as proposed by [7]. The dataset used for the analysis integrated data from two sources: The OpenStreetMap History Database [8] and the OSM Changeset database. The OSHDB was used to derive OSM geometries and attribute information as well as information about the editors. The data was then intersected with a dataset of country boundaries to assign a mapping to a specific country. The OSM changeset dataset was joined to this contribution dataset. The dataset included a plethora of information, but the most relevant columns for the analysis were the OSM ID, Changeset timestamp, hashtags and User IDs, country, year and month as well as the geometry information – including the centroids. (We aim at presenting this dataset in detail in another workshop at SOTM 2024.) At the global level, two analyses were carried out. First, the temporal development of corporate and total edits from 2016-01-01 – 2023-12-31, including a breakdown by individual corporation. Second, the absolute number of corporate edits per country and the percentage of corporate edits based on total edits per country for the period 2019-06-01 to 2023-05-31 were analyzed. For an additional overview, the country-level results were grouped by Human Development Index (HDI) class, for a more in depth understanding of the spatial distribution of corporate edits in respect to socio-economic factors. Countries with more than 15% corporate edits and more than 100,000 total edits in this period were selected for an in-depth analysis. A total of 28 countries met these requirements and we extracted the monthly corporate and non-corporate edits. The overall timeframe for analysis was divided into two time periods: t0 (2019-06-01– 2021-05-31) and t1 (2021-06-01 – 2023-05-31). For each country we derived the change in average activity for both corporate and non-corporate mapping. Three countries were selected from the 28 countries with high corporate mapping activity for the small-scale analysis: Colombia, Indonesia and the United Arab Emirates. For these countries we produced a high-resolution spatial dataset based on a H3 grid utilizing the centroid geometry of each OSM contribution. We performed a spatial auto-correlation analysis to identify regions where corporate (and non-corporate) edits have increased / declined over the past years. In addition to

About work on reducing one of minor problems of OpenStreetMap: rare, unclear and confusing tag values. Such as for example shop=mięsny How cleanup of such tags may help? Why it is dangerous to make this kind of edits? How it can be useful and how it can be problematic or annoying? How it can be done so benefits are much greater than damages? What kind of help would be welcome? Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/Z8F8RB/

The research evaluates the accuracy and completeness of wind and solar energy infrastructure data in OpenStreetMap (OSM) for Belgium and Ireland, identifying common mapping errors and proposing techniques to enrich available data. By combining OSM data with CORINE Land Cover inventory, we study land use patterns around renewable energy infrastructures, facilitating environmental planning. We are witnessing the rise of a collective awareness of the importance of building a more environmentally sustainable future. Within this context, the relevance of renewable energy sources is widely acknowledged; however, to support the energy transition, the availability of reliable data about energy supply, infrastructures, and their environmental impacts is essential [1]. OpenStreetMap (OSM) emerges as a valuable data source to meet these requirements. In this work, we describe our research on evaluating the OSM database in a study of wind and solar energy infrastructures. As a case-study, we analyse two countries: Belgium and Ireland. Data within OSM is well-known to have a diverse level of completeness and granularity [2]. Considering OSM's vibrant mapping communities coupled with both (a) the environmental visibility of wind and solar energy infrastructures and (b) their relatively limited number compared to other built infrastructures, it is reasonable to assume that the majority of these installations are well mapped within OSM. OSM energy-related objects are mapped under the _“power”_ tag, with available key-value combinations to identify wind and solar sources. Wind turbines are commonly tagged as _“power=generator”_ and _“generator:source=wind”_, while solar farms are identified as _“power=plant”_ and _“plant:source=solar”_. By combining OSM data with the CORINE Land Cover (CLC) inventory we considers two research questions. Firstly, we seek to identify common mapping errors and tagging issues associated with wind and solar energy infrastructure representation within OSM. This involves examining geometries and tagging mistakes while evaluating the accuracy and completeness of these infrastructures. Secondly, we perform a geographical analysis to consider the distribution of infrastructures across various CLC land covers. We seek to detect patterns around land cover and renewable energy infrastructure. Our methodology is summarised as follows: OSM data, in PBF format, is downloaded from _GeoFabrik_. Initially here we just consider Ireland and Belgium due to local knowledge and their manageable data sizes. Analysis is performed using _Python_ and the _osmium_ library. Pending acceptance, source code will be made openly available on GitHub in documented Jupyter notebooks. We answer our research questions using three key steps: 1. Assess available wind and solar infrastructures in OSM for the correctness of OSM datatypes and potential geometric errors. 2. Differentiate between individual installations and larger "farms", to evaluate the quality and completeness of OSM data. 3. Investigate commonalities around land use surrounding renewable energy infrastructures using CLC. Initially, we extract all OSM objects with _“power”_ tag =_“plant”_ or _“generator”_, yielding a full listing of all available power sources. We filter solar and wind sources based on the _"generator:source"_ or _"plant:source"_ tags. The accuracy of the OSM datatypes and geometries is checked before moving to "farms" identification. To accurately differentiate single installations from farms, we analyze solar and wind sources separately due to their different geometric nature. We employ a point-in-polygon search with spatial indexes to assign nodes – of either wind or solar type – to intersecting areas of the same energy type. This process raises some geometric questions concerning the meaning of areas without nodes and nodes not linked to any area. We observed several issues: (a) not mapping individual panels within solar farms or defining turbines as circular areas, (b) nodes not associated with any area, (c) unlinked solar nodes representing private installations, (d) the absence of OSM areas or relations for turbines frequently indicated incomplete mapping. This final issue is significant: 91.4% of wind nodes in Belgium and around 87.4% in Ireland are not located within any mapped area. Considering the limited number of turbines included in OSM areas or relations, we employed spatial clustering on all turbines to identify wind farms and validate our findings by automatically comparing clusters with existing OSM areas and relations. DBSCAN (Density-based spatial clustering of applications with noise) is particularly suited for our purpose. One of the most important DBSCAN parameters is the maximum distance between two samples belonging to the same cluster which we set as 5 times the rotor diameter [3]. We assume a diameter value of 130 meters for all turbines [3] considering the frequent absence of t

In recent years, advancements in 3D city models have been instrumental in urban planning and public engagement. In Japan, over 200 cities have adopted open digital twin data in CityGML format as promoted by Project PLATEAU of the Ministry of Land, Infrastructure, Transport and Tourism. This initiative, detailed in Binyu et al.'s research and the 3D City Index report, involves collaboration with the global OpenStreetMap community. Utilizing open database license ODbL, the integration of digital twin data with OpenStreetMap has been explored since 2022, aiming to enhance the global adoption of 3D city models and showcase the benefits of collaborative urban development. # References Lei, B., Stouffs, R., & Biljecki, F. (2023). Assessing and benchmarking 3D city models. International Journal of Geographical Information Science, 37(4), 788–809. https://doi.org/10.1080/13658816.2022.2140808 Toshikazu Seto. (2023). Role of 3D City Model Data as Open Digital Commons: A Case Study of Openness in Japan's Digital Twin "Project PLATEAU", Academic Track, FOSS4G 2023 Prizren. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/PRQKRX/

Whether they are man-made or natural, disasters pose serious risks to communities all over the world. A comprehensive evaluation of gasoline station infrastructure is necessary to ensure public safety and reduce fire dangers. This research, which focuses on Harare, Zimbabwe, uses Geographic Information Systems (GIS) to examine building patterns and access building footprints, road networks, and public facilities using the OpenStreetMap Database. Fuel station mapping and dataset overlaying allow to define fire risk levels that are susceptible to fire hazards and identify danger zones. This study supports risk management, public safety, disaster preparedness, and mitigation initiatives in Harare, Zimbabwe. Natural or man-made disasters pose serious risks to communities all over the world and frequently have dire repercussions, including the loss of life, destruction of property, and disruption of social order [1]. Fire occurrences are particularly dangerous among these calamities, especially when they include infrastructure such as gasoline stations [2]. The potential for large-scale fire catastrophes underscores the need of ensuring the safety of gasoline station infrastructure, as evidenced by occurrences documented in Zimbabwe [3]. Petroleum derivatives, such as gasoline, diesel, kerosene, and LPG, have the potential to ignite fires when handled improperly [4]. It is clear that a comprehensive fire danger assessment is necessary, which highlights the need for proactive fire management planning [4]. Between 1993 and 2004, there were around 243 fire-related incidents at fuel service stations worldwide that were recorded. it's evident that these sites present significant risks Geospatial technology has become an invaluable instrument for disaster preparedness, response, and mitigation as a result of these issues [5]. By offering open data necessary for disaster response and mitigation, initiatives such as Humanitarian OpenStreetMap and the utilization of platforms similar to OpenStreetMap have made substantial progress in these efforts [6]. These systems ensure the availability of high-quality data for efficient mitigation measures and provide quick and open access to geospatial data, facilitating prompt disaster response activities [7]. The OpenStreetMap data consists of many datasets that use points, lines, polygons, and area attributes to represent real-world features. These databases include characteristics that are useful for study, mitigation, recovery, and preparedness for disasters. Through the use of Geographic Information Systems (GIS) techniques, mapping into and querying the OpenStreetMap Database, this project seeks to overcome the difficulties presented by fire dangers, namely in gasoline station infrastructure. In order to identify danger zones and potential vulnerabilities, the research specifically aims to perform a thorough examination of building footprints, conventional construction standards, and public spaces such as marketplaces, parks, schools, hospitals, houses of worship, and road networks in Harare, Zimbabwe. Additionally, it seeks to map gas stations, obtain exact locations, and extract pertinent data from OpenStreetMap and other sources by utilizing Geographic Information System (GIS) approaches. The study also aims to categorize areas at risk of fire danger according to a number of factors, such as proximity to fuel stations and the position of LPG filling stations according to Zimbabwean government rules and retail premises, as well as other factors identified through spatial analysis. Additionally, it seeks to offer practical suggestions and solutions for improving public safety and lessening the effects of fire disasters in Harare, Zimbabwe, offering insightful information for initiatives related to disaster preparation, mitigation, and recovery. to advance resilience and sustainable development in the area while also adding to the scientific understanding of the dangers of fire hazards related to gasoline stations. This study's methodology combines spatial analytic methodologies, data extraction from OpenStreetMap and other sources, and Geographic Information System (GIS) analysis. To fully comprehend the gaps that now exist, we will first start by gaining access to the data that is already available on the OpenStreetMap Database. The gasoline stations will then be mapped into the OpenStreetMap database, where pertinent data such as locations and infrastructure aspects will be recorded. This information will then be taken out of OpenStreetMap. The procedure involves extracting comprehensive information on the locations of buildings, roads, and public spaces including playgrounds, marketplaces, hospitals, and schools from the massive OpenStreetMap database. A thorough examination of the geographic distribution of filling stations, public buildings, and fire service stations will be done using a geographic information system. The objective of this research is to categor

OpenStreetMap (OSM) provides detailed street networks essential for analyzing active transportation (AT) infrastructure. However, the granularity and inconsistencies in OSM data pose challenges in modeling AT users' movements at the street level. This study proposes a novel methodology to generate axial networks for AT users using OSM data, simplifying the network while preserving topology. Applied to cities like Turin, Tel Aviv, and San Francisco, this approach effectively streamlined pedestrian and bicycle networks. The proposed methodology can enhance AT infrastructure, contributing to safer and more efficient urban mobility. Introduction OpenStreetMap (OSM) offers comprehensive street networks that span nearly every city worldwide. The networks contain essential details like road type and name, and individual streets are often represented through multiple concurrent segments. The segments include separate lanes for motor vehicles, dedicated bike paths, and pedestrian walkways. OSM's comprehensive dataset allows the creation of specialized networks customized for pedestrian and cyclist analysis, providing users with a powerful tool for understanding and improving active transportation (AT) infrastructure. These specialized networks play a pivotal role in monitoring and understanding walking and bicycling patterns, contributing to infrastructure enhancement aligned with cities' goals for fostering AT to combat traffic congestion, obesity, and air pollution (Nelson et al., 2021) Nevertheless, the granularity of these networks may pose challenges in modeling AT users' movements on a street level. For example, when assessing AT safety or suggesting a walkability index at the street level, the current data representativeness on OSM necessitates significant manipulation to do so. Furthermore, owing to OSM's open-editing model, the standards for mapping elements are not consistently defined, leading to contentions and variations in data quality (Haklay, 2010). Individuals often map elements based on personal needs and knowledge, introducing inconsistencies in the dataset. Consequently, in some locales, all designated lanes for various users are meticulously mapped, while in others, only a single lane representing the presence of a street is depicted. Additionally, there are instances where only lanes for motor vehicles are detailed, with scant attention paid to lanes catering to other road user groups. Previous research has endeavored to address this issue. For example, a study suggested a topology-preserving simplification of OSM network data for large-scale simulation in sumo (Meng et al., 2022). However, they primarily focus on less complex areas and prioritizing vehicular considerations when generating the new network over those of AT users. Aim In this study, we propose an innovative solution to generate an axial network specifically designed for monitoring and analyzing AT users, using exclusively OSM data. Our approach simplifies the network while preserving its topology. We apply this solution across diverse spatial contexts, from straightforward geographic regions to complex urban environments. Furthermore, we implement our methodology in several cities worldwide—Tel Aviv (Israel), Turin (Italy), and San Francisco (United State)—each characterized by unique urban structures and varying levels of economic development. Methodology The preliminary tasks use OSMnx (Boeing, 2017) to acquire OSM street network data, converting it into a graph while correcting topological errors. Then, the data is stored in a geodata table, including polyline geometry, names, and road types. Our algorithm filters out unsuitable roads, like motorways and trunk roads, and replaces roundabouts with their central points. The network is then ready for the multilane detection algorithm. Polylines identified in a multilane scenario are aggregated into a centerline and added to the Simplification OSM Data (SOD) network. Other polylines are added to the SOD network, retaining their original geometry. A multilane scenario is identified when polylines share the same street name, have similar angles, and are close together. Polylines are grouped by street name, and azimuth (0°-180°) narrows the angle range to ensure that parallel lines are considered parallel, regardless of orientation. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clusters similarly angled polylines using a 10° radius and a minimum of two samples. Outliers with significantly different angles are excluded. The remaining clusters apply a right-shifted buffer to each polyline. If two or more polylines in the same class overlap by at least 10% in the shifted buffer, they're classified as multilane, and the entire class is replaced with one or more centerlines. The core idea behind creating a new centerline is to identify its start and end vertices and then add intermediate vertices to preserve the overall shape of multilane

Lightning talks are short presentations (maximum 5 minutes) about a topic related to OpenStreetMap. ## Campus Guide: Enhancing campus navigation through accurate and updated OSM maps _by Victor Ademoyero_ ## Mapswipe for web _by Geoffrey Kateregga_ ## Mapping activities and impact in Uganda by Geo-YouthMappers _by Umar Katongole_ ## OSM and OpenAerialMap data for machine learning _by Remígio Chilaule_ ## Essentials for a geospatial entrepreneur _by Antidius Kawamala_ ## Perspective of women participation in OSM (brief insights of survey conducted in March 2023) _by Benedicta Ohene_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/ZZTZRB/

This presentation introduces how to develop your own style of OpenMapTiles for MapLibre GL from scratch with *your favorite editor*. - Introduce of OpenMapTiles schema. - Introduce of Charites to use your favorite editor. - Introduce of other tools to compile JSON format for MapLibre GL. This presentation describes with how to use command line tools to create MapLibre GL style. I recommend to use UNIX based operation system or Raspberry Pi. The editors supports VS Code, Emacs, or Vim. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/NHZVNW/

Our work aims to assess OSM road data quality with a focus on car driving. Current work-in-progress proposed indicators to assess attribute accuracy, with a focus on speed limits and methods for estimating the logical consistency of road data. Due to the crowdsourced nature of OpenStreetMap (OSM) and the lack of quality control during the contribution, the data quality issue has become a research focus [1]. Understanding and addressing these data quality issues can facilitate unlocking OSM's full potential for diverse applications. OSM data quality assessment methods can be divided into two broad categories: extrinsic and intrinsic. Extrinsic quality assessment methods compare OSM data with a reference dataset (e.g., authoritative data sources). This is where most initial research on OSM data quality started from [2-4]. Yet, a reference dataset may not always be available. On this ground, researchers called for attention to the intrinsic indicators of OSM data quality [5] and proposed intrinsic data quality measures based on the data, data history, and metadata [5-9]. It is crucial to acknowledge that the quality of OSM data is not a one-size-fits-all metric. Rather, it heavily depends on the purpose of the application domain, known as "fitness-for-use" [5,10]. The diverse application potentials introduce dynamic data requirements. Navigation is one of the primary application domains in which OSM plays a pivotal role. Among them, vehicular traffic constitutes a significant portion of road usage and has a substantial impact on urban mobility and infrastructure planning. Additionally, the complexities involved in automotive navigation and traffic systems require a higher level of data accuracy and reliability, making it a compelling starting point for investigating intrinsic road data quality. In the context of car driving, the attribute accuracy and logical consistency of road data are particularly important [11]. Attribute accuracy refers to the correctness and logical coherence of attributes associated with road features, such as speed limits, road classifications, and turn restrictions [12]. Logical consistency ensures that the road network data follows the correct topological rules, such as proper connectivity of different road classes. The attribute accuracy and logical consistency of OSM road data are essential for traffic planning and supporting navigation applications. To address the challenges of the evaluation of OSM data quality for navigation, when a reference dataset is unavailable, this research narrows its focus on assessing the attribute accuracy and logical consistency of OSM road data. To assess the attribute accuracy, we first identified important attributes related to car driving, such as road name, road class, surface, speed limit, capacity, height limit, total weight limit, and vehicle type. Then our method assesses the attribute completeness by looking into the tags related to the aforementioned attributes, and whether the relevant information is available. The attribute completeness provides us with a first overview of the attribute data. In the next step, a set of rules based on country-specific traffic laws is defined, and the relevant attributes are checked against these rules. So far, we have looked into the traffic law in Germany and defined rules for speed limits according to the road classes. Our proposed method looks into the “maxspeed” tag of each road segment, and verifies their value against the rule defined for the corresponding “highway” value. When a mismatch occurs, these road segments are identified and considered as inaccurate. The inaccuracy of the speed limit is calculated as the number of road segments with an invalid “maxspeed” value divided by the total road segments with “maxspeed”. At the current stage of our work-in-progress, we verified our method in the Heidelberg region, where the inaccuracy rate is very low. Regarding logical consistency, a set of rules is defined based on country-specific conventions. We acknowledge that different regions in the world have different road construction and road mapping conventions. So far, we have based on our case study in Germany, and defined rules for the values of the “highway” tag. These rules include: the value of the “highway” tag should be consistent along a path; a link road should be connected to its corresponding highway; connection of different classes of roads should be logically consistent (a way with a high level of importance in the road network should not connect directly to a way with a much lower level of importance). Our work aims to assess OSM road data quality with a focus on car driving. Current work-in-progress proposed indicators to assess attribute accuracy, with a focus on speed limits and methods for estimating the logical consistency of road data. In the next step, we plan to build more rules for speed limits, considering the geometry of the road and their neighbouring zone to infe

fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT), with the aim of improving and assisting mapping for humanitarian aid and disaster relief. The proposal illustrates the research undertaken to assess the performance of fAIR underlining ML model training, from the training datasets selection process, the choice of the metrics used to measure accuracy, and finally the analysis of the results obtained testing for different metrics. The research falls within the broader spectrum of research on understanding the fine tuning process for geographic domain adaptation in image analysis validation, particularly for building footprints detection. **Introduction** Building footprints features are useful in a wide range of applications such as disaster assessment, urban planning, and environmental monitoring (You et al., 2018; Owusu et al., 2021; Yang, Matsushita, & Zhang, 2023), and their identification has been gaining increasing interest and attention from the ML research for Earth Observation (Hoeser, Bachofer, & Kuenzer, 2020). Particularly in the disaster response context, accurate and prompt availability of such information is crucial (Boccardo & Giulio Tonolo, 2015; Deng, 2022; Sun et al., 2022). fAIr, developed by the Humanitarian OpenStreetMap Team (HOT), a fully open AI-assisted mapping service to generate semi-automated building footprints features, addresses this need (fAIr website, 2022). fAIr stands for “Free and open source AI that is resilient for local contexts, and represents the Responsibility of HOT for local communities and humanitarian mapping", reflecting the objective of HOT to improve and assist mapping for humanitarian aid and disaster relief. Useful open-source data sets of AI-generated building footprints exist (e.g. Microsoft’s global buildings dataset, available through Rapid, and Google’s Open Buildings for Africa and the Global South at large), however, the Machine Learning (ML) models are not currently open-sourced. fAIr, on the other hand, addresses the lack AI models openness by being a fully open source project (HOT Tech Blog, 2022). While in OSM building footprints mapping is currently supported in most countries through Rapid, "users should take care to ensure adjustments and corrections are made as needed" (Rapid - OSM wiki, 2024); fAIr goes over this issue by reintroducing _the human in the loop_. In fact, at its current state, fAIr allows OSM mappers to create their own local training dataset, train/fine-tune a pre-trained Eff-UNet model, and then map into OSM with the assistance of their own local model. In its initial release, the performance of the model following training was not assessed, thus the objective of this research is to address this gap. This proposal describes the research developed in recent months to assess how the ML fine-tuning process performs, investigating the currently used accuracy metric, and comparing against different sets of evaluation metrics. The final aim of this research is to advise on the optimal metric for this building footprints segmentation task. The research falls within the broader spectrum of research on understanding the fine-tuning process for geographic domain adaptation in image analysis validation (Rainio, Teuho, & Klén, 2024; Maier-Hein et al., 2024). **Data and Methodology** fAIr is a software service that performs semantic segmentation to detect building footprints from openly available local satellite and UAV imagery at high resolution (cm) (OpenAerialMap website, 2017). In computer vision (CV), semantic segmentation is the task of segmenting an image into semantic meaningful classes, which is performed with convolutional neural networks (CNNs) architectures (Hoeser & Kuenzer, 2020). The deep learning CNN model used in fAIr is called RAMP (Replicable AI for MicroPlanning), and its architecture originates from an Eff-UNet model (RAMP model card, 2020; Baheti, Innani, Gajre, & Talbar, 2020). With the aim to analyse the current validation accuracy performance and compare against other metrics, an initial literature review on fine-tuning processes for geographic domain adaptation in image analysis validation was performed, which led to outlining a list of candidates for validation metrics (Reinke et al., 2024; Maier-Hein et al., 2024). In parallel, manual labelling on selected areas of interest (AoI) was carried out on a data set of sixteen urban regions, chosen as the most representative of different grades of urbanity, density, regional characteristics, roof cover types, etc. The pre-processing of the AoI images was performed for each urban region through fAIr-dev website (fAIr website, 2022), and produced 256x256 georeferenced tiles for both the original RGB images and labelled masks (see example in Figure 3). Then, the ML training was run on all sixteen training datasets using an Nvidia Tesla T4 GPU, for different batch sizes, epochs, and zo

Starting as a small research project at the University of Bonn and later the University of Heidelberg at around 2008, Openrouteservice has been steadily growing since. This ensures that now almost 120,000 users get free and equal access to basic mobility solutions every day. With the release of version 8, this conference talk will give you an exclusive behind-the-scenes look at almost a decade of OpenStreetMap-driven open-source software development and delivery. Our successes and challenges, and how we stayed true to our values, providing free and open-source software as a non-profit organization. With over ten years of history and over 120,000 users, openrouteservice has established itself as a cornerstone in the area of open-source and OSM-based routing engines. Driven by an increasing availability of road network data through the OpenStreetMap project, openrouteservice could steadily grow and evolve and find its unique spot as a good addition among other routing engines such as OSRM and Valhalla. The current portfolio of freely available services now ranges from standard routing, isochrones and vehicle optimization to custom routing algorithms designed especially for use cases such as relief operations in flooded or earthquake shaken areas. Openrouteservice was created as part of a research project at the University of Bonn around 2008 and was moved to the University of Heidelberg in the subsequent years. It has since been steadily developed, maintained, and supported. In 2017, we launched our public and complimentary API, offering fair quotas for a diverse range of our mobility tools, including routing, isochrones, matrix, vehicle optimization, geocoding, and numerous other features. This was so well received that openrouteservice partnered up with the German “Federal Agency for Cartography and Geodesy” in 2018 to provide routing services to the German Federal Government. In early 2019 the project was transferred to the Heidelberg Institute for Geoinformation Technology (HeiGIT), a non-profit and non-governmental research organization associated with the University of Heidelberg. The combination of non-profit, non-governmental, research, and free and open-source software allows us to make decisions based on social, ethical and environmental reasons without being influenced by commercial interests. The resulting stability and continued support already motivated over 600 other prominent non-profit organizations to install and use openrouteservice and build on top of our service APIs to run their missions. These missions encompass scenarios such as disaster relief efforts, supply chain management, last-mile logistics for health items, accessibility analysis to ensure equal access to health facilities, or planning the support areas for fire brigades. With our latest release, version 8, we would like to take this opportunity to provide the OSM community, which we so heavily build on, with an insight into nearly a decade of OSM-driven open-source software development and delivery. What it takes to run and provide a global public API, and how we are navigating the current professionalisation push for open-source software to shift from formerly hacky self-hosted solutions to data centre ready deployments. We will also share details on how we deal and operate with the ever lasting questions about osm data quality, accuracy and explainability of our routing results. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/XUJWAM/

This report outlines a project to improve the workflow for integrating external open datasets into OpenStreetMap (OSM), ensuring compliance with import guidelines. The process includes tools for conflating data with OSM, supported by roles and tasks specific to this workflow. The AllThePlaces project supports this by extracting and mapping open (government) data to the OSM schema. A new tool, "DiffedPlaces", is proposed to automate diffs, perform data matching with an improved machine learning algorithm, and host the results. In addition, the existing OSM Conflator tool set, enhanced with a web-based data validation application, will be connected to DiffedPlaces. This is a work-in-progress report on an applied university research project to improve the workflow for integrating external "third party" datasets into OSM to complete OSM while adhering to the the import guidelines. First, the workflow for conflating (merging, fusing) external data into OSM is outlined with the main roles and tasks involved. Then some existing and missing software tools and challenges are presented. At the beginning there's data compliant to the ODbL license - especially selected open government data (OGD) - in raw format, or open data already mapped to the OSM schema from the existing AllThePlaces (ATP) project. ATP is a set of spiders and scrapers for extracting external open data. ATP implements periodic extraction, schema mapping, and hosting. A missing piece is the planned open source tool with the working title "DiffedPlaces", which will periodically process "diffs" from ATP and external data, i.e. OSM elements to be created, updated or deleted. DiffedPlaces will provide matching (incl. deduplication, record linkage, named entity resolution) and "diffing" external data to OSM as well as hosting. Another existing tool set is the OSM Conflator web application originally implemented by Ilya Zverev. It implements extraction and schema mapping (like ATP) as well as diffing, validating and hosting. Part of OSM Conflator is the cf_audit GUI web application, which presents the diffed data to be validated by the mappers. It already gives an idea of how diffing reduces tedious manual validation. Only after several validations and communication with the community, the data is finally updated to OSM. This tool will be extended to replace Overpass and it's limited matching capabilities with a connection to DiffedPlaces. This will allow OSM Conflator to focus on validation and hosting, while the matching and diffing would be done in one place, in DiffedPlaces, where other OSM tools and data editors can also connect. One of the challenges is data matching, which is being addressed with an extended random forest based algorithm from Piech et al. 2020. Another challenge is the management of the OSM elements to be deleted. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/N7TGMA/

Lightning talks are short presentations (maximum 5 minutes) about a topic related to OpenStreetMap. ## EcoMappers activities and growth in Rwanda _by Liliane Nishimirwe_ ## Hot CWG mentorship _by Benedicta Ohene_ ## YouthMappers activities and growth in Sri Lanka (2021-2024) _by Sajeevini Sivajothy_ ## #DEI in OSM - Ladies in Maps Zimbabwe _by Letwin Pondo_ ## Microgrants program in Latin America _by Maya Lovo_ ## My journey in OSM: YouthMappers Tanzania _by Iman Seleman_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/SYRTRW/

If you have ever wondered what OSMF and OSMF board are doing and why they exist it is a good presentation for you. Will include a brief overview (as promised in the title) of what they are doing, reason for their existence and why you may want to care about them. And why you may want join the board or one of working groups. Presented by OSMF board member. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/8XCQJB/

The Strava Global Heatmap visualizes aggregated public GPS traces, guiding athletes worldwide in planning their routes by highlighting popular paths. This presentation demonstrates how the Heatmap, in conjunction with our routing engine, can be utilized to identify and fill in missing ways in OpenStreetMap (OSM). We will discuss an algorithmic strategy for creating generated pathways and introduce a prototype of an interface that facilitates the easy integration of these pathways into OSM. We will showcase how Strava's Heatmap can promote OSM's goal of developing a more comprehensive global map, highlighting a mutually beneficial relationship between the two platforms. At Strava, we encourage and support over one hundred million athletes to be active. Athletes memorialize their physical activity via activity uploads that they can share with friends around the world. The vast majority of activities uploaded to Strava include time-series GPS traces. This wealth of information underpins our geospatial products, such as advanced routing capabilities and the visually engaging Global Heatmap. Through Strava Metro, we extend this aggregated and de-identified data at no cost to entities like governments, urban planners, and NGOs, aiding in the creation of more efficient human-powered transportation infrastructures. The backbone of Strava's routing algorithm lies in attributing popularity to roads and trails in our edge graph. We align raw GPS lines from Strava activities to these edges, enabling a popularity-driven routing experience that highlights preferred routes within the collection of OSM ways. With over a billion uploads, Strava athletes cover over 55% of the ways in OpenStreetMap with human-powered activity. In contrast, the Global Heatmap presents an unaligned aggregation of GPS lines for over one billion public activities, offering an intuitive visual representation to aid athletes in exploring their surroundings. It's this dataset that Strava Metro partners leverage to extract insights on the safety, directness, and overall appeal of routes in cities, parks, and recreation areas. We found that Metro partners will often overlay the Heatmap onto physical maps to identify and fill gaps in local pedestrian and cycling infrastructures. In response, we built a prototype of a tool that automates the identification and labeling of unaligned geometries, allowing our partners to streamline the process of integrating these new geometries into OSM. This innovative approach utilizes GPS data points unattributable to existing OSM edges to generate potential new pathways, enabling mappers to enrich the map with previously uncharted ways. Leveraging Strava's global scale, we have batch-processed a collection of these potential pathways worldwide. This data can help fill in unmapped areas and highlight regions needing more mapping attention. It can also highlight commonly used unauthorized paths and potential areas for infrastructure development. This presentation will delve into the algorithms that facilitate the generation of these new edges and explain how mappers can harness this data to enrich the OSM database, fostering a more comprehensive map for human-powered transport. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/HVVYM7/

Importing a government-release open data dataset is an important data source for OpenStreetMap. I will talk about the experience of the OpenStreetMap Taiwan community importing tasks. I will describe the methods and the challenges we face during the whole import process. We have already dealt with 9 counties and cities' address datasets, and looking forward to dealing with more datasets released by other local government agencies in the future. Importing a government-release open data dataset is an important data source for OpenStreetMap. Most of the time you have to judge if the data quality is good enough to do so, and once you decide to import, you have to convert the dataset's field into the correspondent tags of OpenStreetMap. I will talk about the experience of the OpenStreetMap Taiwan community importing the open data datasets of addresses from the Taiwan government. I will describe the methods and the challenges we face during the whole import process. We have already dealt with 9 counties and cities' address datasets, and looking forward to dealing with more datasets released by other local government agencies in the future. I will report 6 cities and 3 counties importing address tasks. And talk about the experience of previous import tasks, like importing ETC tolls, public bicycle stations, bus stops, etc. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/ZVVQTA/

The botanical collection Arboretum and Palmetum Leon Morales Soto houses 412 species from 64 botanical families, totaling 4892 individuals. The mapping carried out by the SAGEMA chapter of YouthMappers allowed sharing valuable information about Colombian flora with the university community, facilitating its conservation and recognition through the integration of collection data into OSM. The project aims to promote the conservation of threatened tropical ecosystems through open mapping. It involved the participation of 12 students and a training strategy through open workshops to replicate the project in other Latin American regions. The Universidad Nacional de Colombia is one of the most important ecological nuclei and connection points in Medellín and the Aburrá Valley. In its approximately 37 hectares, the university harbors a high diversity of fauna, especially birds, insects, small mammals, and reptiles, which find shelter, food, nesting areas, and a passage point in their biological corridor in the tree cover. Therefore, the conservation of this space is of special importance to the city. The collection stands out for housing various species representative of different Colombian tropical ecosystems, such as the dry forests of the Cauca and Magdalena canyons, the humid forests of Chocó, and the flooded forests of the Amazon, among others, offering students and visitors the opportunity to immerse themselves in the biodiversity of the extraordinary Colombian tropical forests and ensuring the maintenance of native species. The "Open Data, Vibrant Ecosystems" project aims to bring the university community closer to the care and appreciation of the flora and fauna present on the Universidad Nacional de Colombia, Medellín campus, through the recognition and appropriation of the living collection Arboretum and Palmetum Leon Morales Soto. It is based on open and collaborative mapping to encourage students to interact with the different species of palms, trees, shrubs, and herbaceous plants that the collection houses, and aims to go beyond visualization and consultation by inviting them to be active participants in the collection's tree inventory data collection, creation, use, and download through open data and the OpenStreetMap platform. As a result of the first phase of mapping the project, the collection's inventory was imported into OpenStreetMap, adding around 3000 new data points to the map. The project is developed in 3 phases: Training, Data validation in office and field, Data import to OSM. For the first phase, a work route was established for data import. First, information gaps and technical knowledge needed for the import were identified. Based on this analysis, collaboration was sought with volunteers from the OSM Colombia and OSM Latin America communities who had experience in tree mapping in OSM. A schedule of five training sessions was established for project members to acquire the knowledge and technical skills necessary for mapping the collection. As part of the project's dissemination and replicability strategy, it was decided to open the talks to the general public and especially invite the OSM Colombia and YouthMappers Latin America community to the training cycle. Five (5) training sessions were held in February and March 2024. The attendance range per talk was between 14 and 30 people, including students, educators, researchers, and institutions from 5 countries in Latin America (Colombia, Brazil, Mexico, Peru, Nicaragua, Chile). The training process covered topics such as data cleaning, mapping project documentation strategies, data import models with QGIS, urban trees and green areas in the OSM ecosystem, and open data licensing. To ensure the project's replicability, a YouTube channel was created with recordings of all the training sessions. A wiki was created documenting the data cleaning process, selected tags, the validation phase, and the import model. For fieldwork preparation, the QGIS program and the QField application were used. Through QGIS, tree data obtained from the university's Environmental Management System were imported, and then each campus of the Universidad Nacional de Colombia - Medellín Campus was divided into quadrants/polygons, with the aim that each member verified the tree data/points in the assigned quadrant. Field data verification was done through the QField application. The qfiel form identifies the mapper with their OSM username, allows them to add new individuals, map dead trees, and delete absent individuals. Information on species, growth habit, condition, and a photo was collected during the recognition. Python code was used to complement the information collected in the field, using the GBIF open repository API to add information about the botanical family for each of the mapped species. After socializing the import in the OSM Colombia community, the data import was carried out by quadrants under the user of each of the

Thousands of Linked [Open] Data sources and knowledge graphs allow to access an enormous amount of structured interconnected data with built in interoperability. This talk explains the basics of Linked Data and offers an overview about the potential its combination with OSM has and the most popular methods available for linking, extracting, combining and querying data from OSM and Linked Data sources. Linked Data defines data structured with design principles that make it easily interoperable. Thousands of Linked [Open] Data sources and knowledge graphs around the world allow to access an enormous amount of structured interconnected data. The combination of this data with OpenStreetMap has considerable potential for valuable insights, quality control and new methods of interaction. This talk explores the basics of Linked Data and offers an overview of the state of the art in methods for mapping links to Linked Data sources and for extracting, combining and querying their data. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/A3Y3BC/

This presentation will introduce a download service of OpenStreetMap GIS layers in English, but also in French for French-speaking areas. In addition to the translation aspect, this service is intended as a proof of concept for an approach that is interoperable, flexible and replicable: it uses open source software components, some of which are supported by OSGeo, and interoperable WMS and WFS protocols of the OGC (Open Geospatial Consortium), while providing detailed OSM data for the countries in question. While English dominates the OSM ecosystem and remains the reference language for the project, several initiatives allow non-English speakers to participate in and benefit from the project: a multilingual forum, translation of the wiki and certain self-learning platforms, translated user interfaces for applications and editors, including OSM label presets. But regardless of the technology or service used, the raw OSM data, once downloaded, is still exclusively in English, and any searching or filtering of OSM data in free GIS software such as QGIS can only be done in this language. This feature can slow down the learning process for non-English speaking OSM contributors, but more importantly, it remains a barrier to adoption by audiences outside the OSM community: for example, public services accustomed to creating/distributing/using data in the official language, or one of the official languages, of their country. This presentation will introduce a download service of OpenStreetMap GIS layers in English, but also in French for French-speaking areas, created on a voluntary basis by the association Les Libres Géographes (The Free Geographers). In addition to the translation aspect, this service is intended as a proof of concept for an approach that is interoperable, flexible and replicable, while providing detailed OSM data for the countries in question. It allows users to download all OSM data and all its labels in various GIS formats, in the form of 16 thematic or generic layers that are updated daily. It uses open source software components (PostGIS, Imposm, GeoServer, GeoNetwork, MapStore), some of which are supported by OSGeo, and interoperable WMS and WFS protocols from the Open Geospatial Consortium (OGC), making it easy to replicate the service. The presentation will be an opportunity to demonstrate these different aspects, get feedback or suggestions from the audience, and possibly discuss extending the translation to other existing OSM data download services. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/MJKAC8/

The OSM Foundation is kept running with the help of many volunteers. They look after our servers, the data, the community, the conference, membership and much more. In this session, some of our working groups will introduce themselves. Hear about what they do and how you can help. There will be also plenty of time to ask questions. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/HS8SVU/

The privacy that OpenStreetMap gives to users in its software and programming interface has lagged behind the requirements of the European Union’s General Data Protection Regulation in some respects. We are now taking steps to remedy this and the changes that mappers and API clients will see are discussed here. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/EBMVWS/

This talk aims to share the efforts of OSM contributors to improve national datasets based on experiences in the Democratic Republic of the Congo. From data analyses to the setup of crowdmapping projects through welcoming new mappers to join and writing documentation. This talk is going to introduce a number of existing tools that proved to be useful in the DRC community. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/ZHME3F/

MapLibre Tiles (MLT) is a new vector tiles format which offers a significant tile size reduction and accelerated decoding performance compared to the de-facto standard Mapbox Vector Tiles (MVT). MLT also adds support for missing features like nested properties, linear referencing and M-values. Our evaluation against MVT on a OpenMapTiles schema based OSM tileset shows a reduction in tile size of nearly up to 80% with even faster decoding times. This talk explains how MLT can be used in combination with OSM data and the advantages it offers. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/T3CXBD/

Historically, the open mapping movement’s disaster focus has been response, but evolving local capacity, insight, technology and partnerships mean new anticipatory action and disaster preparedness open mapping methodologies enable a transition from reactive to proactive approaches to disaster management. This talk explores key findings on the transformative role of open mapping in this topic, demonstrated by three HOT collaborations; Anticipatory Response Program in Zimbabwe, Flood Tracking Project in Liberia, and Mapping for Anticipatory Action in Timor-Leste, plus analysis of post-disaster data demand from NGO and government responders. The talk will also surface insights on how OSM communities can increase their own disaster resilience and preparedness through mapping. Building on the foundations laid by the Missing Maps project, HOT is developing partnerships, data models and mapping campaigns that augment remote mapping efforts of humanitarian mappers (largely building / road network basemaps) through work with local communities, government and other actors creating data and analysis at a community level to conduct proactive disaster management. Anticipatory Response Program, Zimbabwe In Zimbabwe, a country impacted by disasters such as floods, cyclones, and droughts, the Anticipatory Response Program (ARP) explored anticipatory response through: - Identifying gaps in anticipatory planning, preparedness, and response that could be addressed with open geospatial data and tools. - Understanding the limitations in data tools and infrastructure supporting anticipatory action. - Stimulating opportunities for joint project collaboration between community organizations, disaster agencies, and the Open Mapping hub - East and Southern Africa. - Strengthening participation and ownership. - Developing data models through stakeholder identification of information relevant to the enhancement of disaster response Data collection involved mapping relevant features to inform better response capability by Caritas Zimbabwe and other stakeholders in Muzarabani district. This was conducted via remote and field mapping using open mapping tools and updating OpenStreetMap and Mapillary in 14 wards. Features included buildings, roads, and relevant points of interest (POIs) such as health facilities, shops, markets, schools, water sources, flood-prone road sections, religious centers, and public toilets. Data analyses evaluated suitability of POIs as evacuation centers and cash voucher assistance points and evaluated proximity to communities, thus visualizing community vulnerability to disasters and contributing to local contingency planning. Specifically, this information served as input to hazard maps and Multi-Hazard Contingency Plans (MHCP) for the pilot wards, ensuring authorities are prepared for disasters, and response efforts are supported by high-quality relevant geospatial data. Tracking Flooding in Rural Liberia Coastal settlements of Liberia - 565kms of mainly lowlands, hosting mangroves, swamps and nine river estuaries - face climate risks such as flooding, rising sea levels, and coastal erosion. Coastal cities experience annual average precipitation of >500mm, causing floods and sea erosion that disrupt livelihoods and damage properties and infrastructure. HOT’S Open Mapping Hub - West and Northern Africa, iLab Liberia and OSM Liberia collaborated to address urgent needs of the Commonwealth District in Grand Cape Mount County. An open, participatory mapping approach was used with key stakeholders to accomplish: - Mapping stakeholders and climate change-related interventions - Filling gaps in existing datasets, plus visualizations and decision-making tools for government and humanitarian actors. - Increasing climate resilience awareness through focus groups, radio programs, talk shows, town hall meetings, and resources for use by local authorities, youth, and women’s groups. - Mapping building footprints, road networks, waterways, and land use and collecting field data on buildings, education, health, commerce, infrastructure, waterways, and other amenities to provide detailed information on the vulnerability, exposure, and flood hazards for more robust data analysis. Data products were developed based on requirements and use cases from the National Disaster Management Agency, Liberia National Police, Ministry of Health, Environmental Protection Agency, Liberia Water and Sewer Corporation, Liberia Land Authority, Liberia National Red Cross Society, Ministry of Internal Affairs, Liberia Institute for Statistics and Geo-Information Services, Ministry of Public Works, Liberian Hydrological Services, Liberia Geographical Society, and others. Access to reliable data analysis hinders stakeholder’s disaster mitigation, preparedness, response, and recovery initiatives. These actors can now develop resilience programs to support the people in the district and adopt tools and workflows for other affected counties across

[Cloud-native approaches and formats](https://cloudnativegeo.org/) are increasingly becoming the defaults for geospatial data analysis, visualisation and distribution. Standards like STAC and formats like GeoParquet, FlatGeobuf and PMTiles are being adopted to meet high volume and performance needs. OpenStreetMap can take advantage of these new approaches to increase adoption, interoperability and solve analysis and visualisation problems that were previously complex. This talk will discuss a few ways to bring cloud-native formats to OSM use-cases and present lessons on building new applications that take advantage of these improvements. Particularly, we will discuss how to use cloud-native approaches to improve OSM validation and change visualization efforts. OpenStreetMap data is core to projects used by millions of users worldwide. With the increase in volume of data, developers are turning to cloud-native approaches to efficiently manage geospatial operations and visualizations. The primary OSM data distribution are currently Shapefiles, GeoJSONs, Raster and Vector tiles, and OSM specific formats like osm and osc. What are the possibilities of other formats like GeoParquet, FlatGeobuf and GeoArrow? How can these formats improve existing workflows in OSM and allow users new ways to work with OSM data? How can we enable interoperability with other datasets and tool ecosystems? These are some of the questions we will address in this talk. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/BXGLWA/

Map Kibera arose from a desire to expand OSM beyond the confines of Europe and North America. In 2009, it pushed the boundaries of what then-new technologies could do. What have the mappers learned over the years? This talk will welcome you to Nairobi and through the ups and downs of mapping in Kenya - from the history of mapping in 20th Kenya, through Map Kibera’s start, into slums and rural parts of Kenya, and finally to current-day Kibera, where mappers are mapping street lights, waste disposal, schools, and more. How has Map Kibera and OSM had a community impact even as drones, satellite technology and AI are revolutionizing mapping? What has changed, and what has remained the same? We will discuss the global impact of Map Kibera, on community-based mapping in OSM and on the general application of technology in developing countries. This talk will include a discussion of mapping in Kenya dating back to the colonial era, the establishment of Kibera as a region of Nairobi, and its growth into a massive informal settlement. Kibera has been viewed as a place to develop by the Kenya government, International aid agencies, charities, and missionaries. It was a flashpoint of the post-election violence of 2007/8. Map Kibera’s Kenyan leaders will discuss the most recent mapping and local impacts made by the use of OSM. Mapping of street lights in Kibera led to new and more street lights installed in Kibera. Mapping of waste management in Mukuru led to the placement of dumping waste bins. Data on schools has led to a pilot project to install solar panels on selected schools. None of these impacts have been easy, but we will share lessons learned about OSM, open data and communities. Finally, we conclude with a discussion of emerging and ever-changing technology, and the fate of the techno-optimism of the early 21st century. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/B3EH7D/

Lightning talks are short presentations (maximum 5 minutes) about a topic related to OpenStreetMap. ## Discover OSM with free GIS tools in Africa geoportal _by Esri Eastern Africa_ ## Disaster hackathon 2.0 in Bangladesh _by Ibtehal_ ## Impact of anticipatory mapping in disaster preparedness _by Jacques Niyigena_ ## Geospatial conference Tanzania (GIS day) November 15-16 2024) _by Kawamala Antidius_ ## Discover the UN maps learning hub! _by Séverin Ménard_ Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/87HBBY/

Improving the map in OpenStreetMap involves data availability and reliability. Through the operations in which they are involved, organizations have a vast amount of data at their disposal, much of which is confidential and goes against the spirit of Open Data, which is all about sharing. This session will show how the OSMer in Residence program has fostered this paradigm shift through collaboration between HOT's Western and Northern Africa Hub and Médeçins Sans Frontières The shared vision of creating a detailed, accessible, and community-driven map of the world continues to drive the open mapping movement. Increasingly, organizations across diverse sectors are recognizing the value of open data and its potential impact on societal development. Several organizations have made a commitment to open up their data and actively contribute to OpenStreetMap (OSM). However, as OSM is an open-source community project, decisions and action are guided by community consensus. For any organization seeking to integrate its data into this platform, obtaining local community support is essential. The OSMer in Residence program serves as a crucial link between these organizations and the dynamic OSM community in Africa. Based on the concept of the Wikipedian in Residence, the OSMer in Residence program is designed to embed an OSM subject matter expert in a host organization or institution to maximize the value for the host organization in terms of their ability to leverage OpenStreetMap as a database that supports improved humanitarian and development outcomes in accordance with OSM community norms. In its pilot phase, Open Mapping - West and Northern Africa Hub(WNAH) collaboratedwith Médecins Sans Frontières/Doctors Without Borders (MSF), a humanitarian organization that provides emergency relief to some of the most vulnerable and excluded communities around the world, with data and maps being of high importance to supporting their operations. This pilot phase has led to workflow proposals facilitating the integration of an organization's data into OpenStreetMap by involving the local community where the data was collected. Data confidentiality and organized editing in OpenStreetMap will be addressed during this session. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/MRBEFX/

Examining the case of OSM Kenya, we showcase and exhibit how initiatives have empowered local communities through open mapping, fostering collaborations, and skill development. We have catalyzed sustainable impact driving positive change across the country and around the world through empowering over 200+ young people who are members of our community. Gaining insights and strategies for enhancing community engagement and capacity within the OpenStreetMap ecosystem in Kenya and beyond borders. The presentation will be centered around Community Capacity Building as a model for building sustainable communities for the global south, Sharing tricks and skills that we have adapted over five years, we desire to showcase our growth as a community through the contribution of open data. During the presentation, we will recognize the community for working together to achieve such a milestone as we seek to enlighten other communities toward achieving greater goals. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/99HWEX/

OpenStreetMap is a community project to map the world. Everybody can contribute whatever they want. Or can they? What are the rules that govern what can be mapped in OSM and how? How are we creating a coherent global map and not just a bunch of random data about the world? OpenStreetMap is a community project to map the world. Everybody can contribute whatever they want. Or can they? What are the rules that govern what can be mapped in OSM and how? How are we creating a coherent global map and not just a bunch of random data about the world? For years we have had the "on the ground rule" (really more of a guideline) that helps us decide what and how to map. It has served us well, but it is also sometimes misunderstood. And it is not the whole story. In this talk we want to explore this rule and its many aspects and the other principles anchoring the project in the real world. We want to show how the rule helps avoiding conflicts but also shine a light on where it is sometimes bent and why. We want to figure out what it is that keeps the international and diverse OpenStreetMap community working towards a common goal. Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/V3FYDH/

In recent years, data creation methods have evolved, incorporating machine learning, AI, deep learning, and virtual reality to streamline processes. However, these advancements have not uniformly benefited communities in developing countries. Nonetheless, OMDTZ tirelessly seeks solutions to ensure more high-quality data are gathered, with low cost and extensive local involvement. One standout initiative involves a customized tricycle, known as bajaj, which is cost-effective, enabling access to streets of varying conditions. Equipped with an affordable street view camera, it collects images used to automate generation of vector data attributes to enrich OpenStreetMap. This session aims to share the experience and process, inspiring other communities to consider similar adaptations. Over the years, OMDTZ and other volunteers have spearheaded a number of initiatives aimed at updating OpenStreetMap through various projects and mapathons in Tanzania. These efforts have added countless buildings, roads, and amenities, impacting social well-being and lifesaving initiatives. As technology has advanced, methods for data creation and updating have evolved, leveraging machine learning, AI, deep learning, and virtual reality to streamline processes. In line with these advancements, OMDTZ has invested in methods to ensure efficient and high-quality data capture. One such method involves using Mapillary to capture street view imagery, which is then utilized to automate the generation of vector data and attributes such as road surface, traffic signs, and drainage coverage. Additionally, OMDTZ has customized Bajaj, equipping it with navigation and a GoPro Max camera for data collection. This approach offers cost-effectiveness compared to traditional vehicles, increased mobility in intricate urban areas, and fosters community involvement by leveraging local knowledge. Combining these technologies with local resources revolutionizes street-level data collection, contributing to the continuous improvement of OpenStreetMap in Dar es Salaam Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/J9ATMQ/

This proposal outlines my journey into the tech sector via OpenStreetMap (OSM) as a woman with no prior tech background. I'll share my transformation from beginner mapper to proficient user, skilled in OSM mapping and QGIS for data analysis.In a field where women's representation is limited, my involvement in OSM Tech stands as a testament to breaking barriers and fostering inclusivity—an opportunity provided to me by OpenMap Development Tanzania (OMDTZ). I’ll show the significance of providing equal opportunities and a supportive environment for women in technology in OSM and highlight the potential of OSM as a catalyst for personal and professional advancement. I aim to share, reflecting on the supportive environment that facilitated my growth while arguing for the importance of creating an inclusive space in OSM communities where women and other underrepresented groups can aspire to achieve anything.With less than a year in OSM Tech, I am already actively participating in organizational projects, including the solid waste management baseline survey—an area I am interested in as an environmental personnel. I will also share what has worked best for me and how I overcame challenges so that other women out there who want to take on the challenge can feel empowered and able to take the first steps Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ about this event: https://2024.stateofthemap.org/sessions/A7DUFU/