Chaos Computer Club - archive feed

--- about this event: https://projects.alpaka.space/jhber19/talk/JPBW79/

"Hier geht es um Klimakrise, Netflix und nigelnagelneue Smartphones - Wie Das alles zusammenhängt und welche Rolle wir Hackenden und Codenden dabei spielen." about this event: https://projects.alpaka.space/jhber19/talk/S78JLH/

Die Barrierefreiheit ist ein wichtiger Aspekt in der Software-Entwicklung, der leider von vielen Entwicklern wenig beachtet wird. Die Gründe dafür scheinen vielfältig; aber was ist dran an den Vorurteilen rund um Accessibility? Wer profitiert wirklich davon, und wie mache ich meine Programme barrierefrei? Wie verwenden Menschen mit den unterschiedlichsten Einschränkungen ihre Computer und Smartphones? Alle diese Fragen wollen einfach und Anfäger*innenfreundlich beantwortet werden, um die Erfahrung für alle potentiellen User*innen zu verbessern! about this event: https://projects.alpaka.space/jhber19/talk/TGSDSD/

Kurzer Überblick über neue Entwicklungen, "erfolgreiche" Testprojekte und was wir dagegen tun können about this event: http://fahrplan.2019.hackumenta.de/hackumenta/talk/3DK3B3/

Mehr Geschmack durch die Maillard-Reaktion, der Stoffwechselzyklus der Hefe, Hege und Pflege von Gärgasen - alles nur für den guten Geschmack, die optimali Crispizität und olfaktorische Freuden. Es wird eine Geschmacksprobe geben. about this event: http://fahrplan.2019.hackumenta.de/hackumenta/talk/TNJRA8/

In diesem Talk stelle ich euch meine Zeichenmaschine vor, die mit ein paar Zeilen Code auf einem Arduino, Steppermotoren und ein bisschen Mechanik generative Muster malt. Nach einer Vorstellung der Maschine werden wir die natürlich auch direkt anschließen! Wer nicht zum Talk nicht kommen kann, findet die Maschine (und mich) in Barnard, wo sich jeder ein eigenes Bild zeichnen lassen kann. about this event: http://fahrplan.2019.hackumenta.de/hackumenta/talk/UNFRCN/

Keynote about this event: https://projects.alpaka.space/jhber19/talk/LTKJ8W/

Kann man empirischen Studien trauen oder nicht? Wie kann ich gute Studien von schlechten unterscheiden? Und was mache ich, wenn es zu einem Thema Studien mit gegensätzlichen Befunden gibt? Der Vortrag soll helfen, Antworten auf diese Fragen zu finden und empirische Studien besser zu verstehen. Empirischen Studien begegnet man nicht nur in Vorlesungen und Laboren, auch in den Nachrichten und in Diskussionen werden sie zitiert und oft als unumstößliche Wahrheit dargestellt. Andererseits gibt es ein großes Misstrauen gegenüber diesen Studien. Den Satz „Traue keiner Statistik die du nicht selbst gefälscht hast“ hat wohl jeder schon gehört und beim Congress im letzten Jahr hieß es mit Verweis auf psychologische und sozialwissenschaftliche Methoden „Science is broken“. Aber entspricht das wirklich der Wahrheit? Der Vortrag beschäftigt sich mit der Frage, was die Denkweise hinter empirischen Studien ist und wie man sie besser verstehen kann. Dabei sollen sowohl Grundlagen wie Wahrscheinlichkeiten, verschiedene statistische Testverfahren und Metaanlysen als auch Probleme wie p-Hacking und die Replikationskrise angesprochen werden. Ziel des Vortrags ist es, den Zuhörer*innen einen Eindruck davon zu vermitteln, was empirische Studien aussagen können und was nicht. Dabei liegt besonderes Augenmerk auf der Frage, ob und welchen empirischen Studien man trauen kann. Man benötigt keine Vorkenntnisse zum verfolgen des Vortrages. Als Beispiele werden aktuelle und klassische Studien aus der Psychologie benutzt. about this event: http://fahrplan.2019.hackumenta.de/hackumenta/talk/M8X9PD/

Eine grundlegende Einführung in die Programmierung paralleler Tasks auf Grafikkarten von NVIDIA. Was an Grafikkarten cool ist? Wer über das Alter hinaus ist, in dem man beim Gedanken an Grafikkarten einzig an Spiele und möglichst hohe FPS denkt, weiß sicherlich, dass Grafikkarten für etliche weitere Zwecke zum Einsatz kommen. Hier produzieren sie Cryptowährungen in Mining-Farmen, dort errechnen sie Hashes für alle möglichen Zeichenkombinationen, um auf Passwörter rückschließen zu können. Doch wie funktioniert das eigentlich? Wie kann ich meine Grafikkarte programmieren? Wieso nutzen die Programme auf meinem Rechner nicht alle die Grafikkarte, wenn sie doch von einem so beeindruckenden Leistungsplus profitieren könnten? Und wieso möchte ich bei NVIDIA-Grafikkarten eigentlich immer die mit möglichst vielen CUDA-Cores kaufen, obwohl ich keine Ahnung habe, was die tun. Dieser Talk beleuchtet anhand von NVIDIAs CUDA die genannten Fragestellungen, weist auf architekturbedingt Beachtenswertes hin und vermittelt, dass man seine CPU nicht wegwerfen sollte. Gekrönt wird der Vortrag von einem Blick auf Optimierungsstrategien, die in einem echten Codebeispiel Anwendung finden. about this event: http://fahrplan.2019.hackumenta.de/hackumenta/talk/FK73M3/

The opening of the hackumenta in Kassel, Germany will involve two different phases. First, the "hack-lab", for which the hack will be conducted, will be located at the Kassel University of Applied Sciences. Here hackers will get their first stab at developing their software and testing it with a real life example. Secondly, they will be able to conduct "open" experiments using the platform. This will allow the hackers to connect to the public to make their software even more open and free. Hackumenta will have up to 50,000 users The project is the brainchild of Andreas Krawitz and his team from the "Hackumenta" company. The company is a subsidiary of the German Software House of Technology, whose board members include Jurgen Neugebauer, chief executive of Google, Michael Schroeter, head of IBM Research Germany, Dr Ulrich Schäuble, chairman of the German Bundesministerium for Economic Affairs, Erich Honecker and the Chancellor of Bavaria, Horst Seehofer. about this event: http://fahrplan.2019.hackumenta.de/hackumenta/talk/HNFPVC/

about this event: https://c3voc.de

about this event: https://c3voc.de

about this event: https://c3voc.de

about this event: https://c3voc.de

about this event: https://c3voc.de

Ein kurzweiliger Vortrag über die Möglichkeiten von Webscraping mit Puppeteer about this event: https://c3voc.de

Der Vortrag erzählt die Geschichte von "media.ccc.de", dem Videoportal des Chaos Computer Clubs. Vor 12 Jahren waren erstmals die Videos von 'ftp.ccc.de' direkt im Browser sichtbar. Damals wusste noch niemand wozu, schließlich konnte man die Dateien "einfach" per FTP herunterladen. Zuerst wurden die Videos noch als FLV mit dem Flash-Player ausgespielt, doch irgendwann konnte auch der letzte relevante Browser HTML5. Heute unterstützt media Tonspuren in verschiedenen Sprachen, Untertitel und vieles mehr. Erzählt wird die Evolution der Architektur, von 'webgen' und DNS Round Robin bis zur Rails Anwendung mit HTTP Redirector. Die meisten Videos werden vom CCC Video Operation Center auf diversen Veranstaltungen aufgezeichnet und anschließend auf media publiziert. Wir reden über diese Verarbeitungskette und die API, das CDN Backend, sowie das Rails Frontend 'voctoweb'. Doch zur Geschichte von media gehören auch immer wieder kleine Anekdoten, wie der gescheiterte Versuch Torrents mit Web-Seeds anzubieten, oder die gesperrten Videos in der Apple-TV App. about this event: https://c3voc.de

Leo berichtet über Operationsverstärker. Ein Vortrag im Rahmen der Fünf-Minuten-Termine. Die Idee ist einfach: An jedem vierten Mittwoch des Monats nutzen wir das volle Haus zum Open Space / Chaostreff und jede Person, die möchte, kann kurz vorstellen, was auch immer ihr vorschwebt. about this event: https://chaotikum.org/blog/2019/09/24/5-min-termine9/

Fabi berichtet von der neuen Stickmaschine im nbsp des Chaotikum. Ein Vortrag im Rahmen der Fünf-Minuten-Termine. Die Idee ist einfach: An jedem vierten Mittwoch des Monats nutzen wir das volle Haus zum Open Space / Chaostreff und jede Person, die möchte, kann kurz vorstellen, was auch immer ihr vorschwebt. about this event: https://chaotikum.org/blog/2019/09/24/5-min-termine9/

Öffentliche Haushalte sind der in Zahlen gegossene Kern der Politik. Haushalte sind allerdings komplex und ihre bürokratische Darstellung ist schwer zu verstehen. In diesem Talk präsentiert Christian seine Anwendung “Unsere Gelder” die helfen soll, Haushaltsdaten zu verstehen. Aktuell kann man in den Medien viel über den Lübecker und den Bundeshaushalt lesen. Doch wie einfach ist es einen Haushalt zu verstehen? Bei diesem Talk wird das Projekt “unsere Gelder” mit anschaulicheren Visualisierungen und Vergleichsmöglichkeiten vorgestellt. Das Ziel ist es, mehr Bürgern zu ermöglichen sich zu informieren und sich zu beteiligen. Über einen Katalog sollen die Daten der Haushalte gesammelt werden um auf https://unsere-gelder.de dargestellt zu werden. Das Projekt ist Open Source und die erzeugten Daten werden als Open Data jedem zur Verfügung gestellt. about this event: https://chaotikum.org/blog/2019/09/16/unseregeldertalk/

The OpenStreetMap provides probably the most comprehensive digital path network for pedestrians, which had been largely unused in its actual depth of detail so far. Based on findings from the TERRAIN project, this talk will go into detail how this network can be used for roadside-aware pedestrian navigation efficiently, and what challenges and mappings problems occurred. Furthermore, specific needs of various person groups will also have to be considered facing variable data quality. People primarily move on sidewalks, but this is hardly taken into account in generally available routing solutions. The OpenStreetMap provides probably the most comprehensive digital path network for pedestrians, which had been largely unused in its actual depth of detail so far. Through an efficient and transparent topological extension of the path network, more accurate routes for pedestrians and other means of transportation can now be determined, revealing hitherto unnoticed mapping problems and an undesirable previous focus on automotive mobility. As part of the TERRAIN project, an exemplary publicly available navigation system for blind persons was developed that demonstrates the special challenges of human locomotion based on the OpenStreetMap. Challenges and robust solutions concerning data quality, micro-mapping and transition areas, regional OSM semantics versus mapper interpretations, and path bundling are presented. A large part of the footpaths in the OpenStreetMap are listed in the form of annotations as sidewalks. This well-proven procedure enables a low-maintenance, robust and high coverage of the footpath network. However, a presentation with many paths inevitably leads to contradictions due to path bundling, which requires a more elaborate micro mapping, which is often not noticed by mappers up to now, and can now be shown clearly. But also regional micro mapping can lead to unexpected complications in addition to the increased effort, since a multitude of connection problems can occur which have to be considered. In addition, there are a large number of requirement profiles for children, adults, the disabled or the elderly who travel on foot, in wheelchairs or on scooters. A deeper examination of the map data enables a finer specialisation in different areas of application, which also uncovers and challenges previously unused data treasures and requires special handling in the software. about this event: https://pretalx.com/sotm2019/talk/ARMCT7/

OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into vector maps, which can be produced in various coordinate systems. OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles, which are ready to use in OpenLayers, Mapbox GL, Leaflet, QGIS as well as mobile applications. This talk gives an overview of the OpenMapTiles tools to produce vector tiles in coordinate systems other than Mercator while keeping all the features, such as interactivity to create powerful region-specific applications. Today’s de-facto global standard is a Spherical Mercator projection because it preserves shape and angles. The entire world looks like a square, which makes it easy to work with on a computer. However, such a transformation causes several issues like distortion of sizes where places around the equator are visually smaller than those near poles. That’s why new global coordinate systems were developed. There are also many local coordinate systems with a long tradition. They perfectly fit the need to display a particular country/area in the most acceptable way. They are heavily used, especially by governments. OpenMapTiles can serve as a base map for displaying data in a different coordinate system or for view/print purposes. There is also a hosting service based on OpenMapTiles called MapTiler Cloud, which offers the same ability to be displayed in a different coordinate system than Mercator. about this event: https://pretalx.com/sotm2019/talk/RYPLFZ/

Osmose-QA is a Quality Assurance tool pointing issues on map, but also able to compare external data set to OpenStreetMap. First part is about the new support of MapCSS rules in Osmose-QA and the opportunity to share rules with JOSM and other tools. Second part is on integration of external data from Mapillary photography objects extracted by AI and from OpenData. It is also on the challenge to deals with lots of OpenData. At the beginning, Osmose-QA is a Quality Assurance tool pointing issues on map, but also able to compare external data set to OpenStreetMap. First talk part is about the new support of MapCSS rules in Osmose-QA. MapCSS language was primarily designed as way to style map objects, it look like the web styling language CSS. The base of MapCSS is to use selectors to filter objects. JOSM already use it for map styling and validator. This new implementation of MapCSS in Osmose-QA allows to write rules more easily. It also allow to reuse JOSM validator rules set. Next step would be to run Osmose rules in JOSM. It’s a great opportunity to share rules across tools and projects. But come the question on how to share and manage this rules while considering tools particularities. Second talk part is on external data comparison (aka conflation) with OpenStreetMap. It permits to point issues and evaluate the coverage, lastly it allows fixing and integration into OpenStreetMap. The more we wait, the more there is OpenData sets available. How Osmose-QA can try to addresses this issue of already too many OpenData set available. Beside OpenData from authorities we also have street objects extracted by Mapillary AI from street photography. Finally, what about the limit of the current model and how we may go further. about this event: https://pretalx.com/sotm2019/talk/JJKH8H/

Closing Session Closing Session about this event: https://pretalx.com/sotm2019/talk/SWAGX7/

Have you ever been lost inside a gigantic railway station? SNCF, the french railway company, is developing a pedestrian routing and navigation service to help travelers find their way inside and around railway stations. This talk exposes the challenges and how they have been addressed to provide a robust solution that can handle the great variety of data as well as routing through open spaces. SNCF, the french railway company, has been using OpenStreetMap to map railway stations for years. Since 2016, travelers can explore all 380 railway stations of the Greater Paris area through interactive maps deployed on their web site and on a mobile app. Browsing a map is good, but not good enough when you are lost inside a complex, multilevel, indoor (and/or outdoor) environment. It gets worse for someone in a wheelchair, elderly people, or anyone coming back from a family trip with more luggage than your hands could carry. What if we could bring pedestrian routing and navigation services to help travelers find their way inside and around railway stations? Could we do it using OSM data? This is the challenge SNCF has been trying to tackle for the past few months. Together with Jawg Maps and Carto’Cité, they held a detailed mapping campaign on 83 stations and developed a dedicated routing engine. This engine can seamlessly navigate indoors and outdoors, and achieves routing through open spaces such as pedestrian areas and station halls. This talk exposes the challenges we faced. It focuses on the data structure and the algorithmic strategies that have been defined to provide a robust navigation service, and its ability to handle the great diversity of railway stations. The talk also discusses how some parts of the data model originally designed for road navigation could be used for pedestrian routing – with some minor tweaks. If you thought mapping stairs was trivial, you would be surprised… about this event: https://pretalx.com/sotm2019/talk/AT9YPK/

Lightning Talks Lightning Talks about this event: https://pretalx.com/sotm2019/talk/MYFAAH/

We map because we care to represent the world. Yet maps are never "true", they are shaped by their creators and their circumstances. Map-making is world-making: maps by different authors can give access to different worlds. So how can we make, share, and use maps that are created _by_ these worlds, and not just by a privileged few? How can vulnerable communities influence how they’re represented and affected by our maps? The popular view is that mapping the world is just an act of reflecting reality and reflecting nature. People rely on map-makers like us to show them the “true” spatial arrangement of the world. And yet, making a map also involves making assumptions, omissions, additions, and generalisations, and it feeds on our training, experiences, and personal perspectives as map-makers. A map is never really “true”, it is shaped by the hands of its creators, and it is always also a product of chance and its circumstances of making, sharing, and use. It can be said that map-making is world-making: maps shape our understanding of the world, and inform our actions in the world, and a map by a different author can give access to a different world. So how do we create a map of the world that is created _by_ the world, and not just by a privileged few? To fully appreciate the complexity of this challenge we need to extend our understanding of what counts as maps and mapping, and why. In order to understand our responsibility as map-makers, we need to become both _critical_ and _caring_ cartographers. This shift in perspectives and attitudes can help us understand better what can happen when our everyday mapping practice connects with real-world circumstances. It may also help us become more responsible as the volunteer workers of OSM. David and Martin will guide you through a careful and caring consideration of OSM based on personal experiences, and talk about the responsibilities we carry as we map and make the world during difficult times. For example, we may encounter circumstances where the OpenStreetMap approach to openness brings complications. Can the communities represented on the platform make decisions about how they’re being written about? Indigenous communities around the world regard their land as sacred and don’t want it to be mapped. Should we as a global community know when not to map? There are circumstances where the act of mapping itself can bring danger to the mapper. Do we have the right methods to assess such risks? What support can we offer those who take them? If we don’t, whose hand gets to shape the map instead? And what does all of this this mean for a do-ocracy, where decisions emerge slowly and can often contradict each other? Or to put it even more broadly, how can we diversify, democratise, denaturalise, and decolonise open mapping? Who cares, you ask? David and Martin have participated in the OSM ecosystem as mappers, researchers, and organisers, and have been involved in the Humanitarian OpenStreetMap Team and other global mapping initiatives. Based on their personal experiences they will introduce you to a careful and caring consideration of OpenStreetMap cartography, and talk about the responsibilities we carry as we map the world. They ask you to consider that maps are not _universal_, and that even in OpenStreetMap many different maps and mappings are possible. They propose that a better map may be a _pluriversal_ one, where many different perspectives can coexist. Can OpenStreetMap accommodate this? Which practices can help us produce maps that represent the world more equitably? More importantly, if we think that mapping can make a difference in a time of global precarity, inequalities, climate catastrophe, and mass extinction, then they ask _you_ to care. about this event: https://pretalx.com/sotm2019/talk/F9D8QG/

In many regions of the world, a population’s access to essential services is unduly constrained by a lack of proper infrastructure. By performing accessibility analysis using OSM data, we can understand how route infrastructure impacts access to essential services and use that information to inform an intervention. This talk explores accessibility analysis performed to understand the impact of footbridge construction in eSwatini and introduces a python framework enabling users to perform similar analysis. Bridges over rivers are fundamental pieces of human infrastructure which enable safe crossings for the populations who use them. However, many rural regions of the world lack these critical bridges, and as a result, access to essential services is restricted for millions of people. In pursuit of tackling poverty caused by rural isolation, we have begun experimenting using remote analysis techniques to quantify bridge need and impact. To these ends, accessibility analyses using OSM and other data have proven to be extremely valuable. By comparing a population’s baseline accessibility to its access in scenarios such as a flood or post bridge construction, one can better understand the transportation dynamics of a region and even estimate the number of people that would be impacted with a bridge construction, for example. During the course of running various accessibility models, a python framework tebetebe was built around OSRM [Open Source Routing Machine] which simplifies the process of running different scenarios. This framework is built with footbridges in mind but is generalized so it may be applied to other applications. This talk explores the accessibility analysis process, its caveats and results achieved in the Kingdom of eSwatini. Finally, a walkthrough of the python framework tebetebe is given so that other users may perform similar analyses. about this event: https://pretalx.com/sotm2019/talk/7FBMMM/

As one of the outreach activities in Japan, OpenDatathon which holds mapping party and Wikipedia editing event simultaneously, are regularly held. As a member of an Organizer group, I will introduce OpenDatathon case studies and consider their potential. In Japan, many OpenDatathon are held by various operators. It does the mapping party and editing of Wikipedia, other OpenData editing as one event. This contributes to the increase in opportunities to learn OpenData, the exchange of people involved in OpenData, and the increase of contributors. As a member of the group that organizes OpenDatathon, I will explain the purpose, effect, and spread of this initiative. The purpose of OpenDatathon's activities is different for each organizing group. Among the purposes, cases aimed at local information distribution are worth noting. It edits information on OSM and Wikipedia and uses it for the development of the local community. Because Civic Tech communities and local government organizations are often interested in it. For example, the library is collecting material about the history of the area. Writing on Wikipedia using them is important to them. The number of OpenDatathon hosted by the library is increasing. We also frequently support events organized by other organizations. That way, they can manage the event without having direct contact with OSM and Wikipedia experts. In addition, it is possible for people of various motivations to participate by incorporating the fun of walking around town. In order to edit OSM and Wikipedia, We are looking for historical or important topics in the local area. In addition, we may hold multiple events as a series of historical themes. We are planning a story in mapping, and creating a motivation for people to participate by incorporating a specific feature. As our future challenge, not only disseminate local information by themselves, they will organize hackathon by using the OSM geospatial database and the Wikipedia document data. We want to increase activities. The code and data are linked in an area-oriented. about this event: https://pretalx.com/sotm2019/talk/LBREW8/

Lightning Talks Lightning Talks about this event: https://pretalx.com/sotm2019/talk/XQUHP3/

In early 2019, Open Data Manchester teamed up with Stockport council, Disability Stockport and Age UK Stockport to crowdsource data around mobility and accessibility in the town centre. This talk will cover the mapping methodology, findings, difficulties and solutions, as well as suggesting ways in which we can better map for these communities, making the data collected for OSM more inclusive and accessible for all. In early 2019, Open Data Manchester partnered with Stockport Council on a project called ‘Mapping Mobility Stockport’, funded through the ODI Geospatial Fund. Working with Age UK and Disability Stockport, the project crowdsourced data about accessibility issues in Stockport, drawing on the lived experiences of people with mobility impairments to supplement data already available to the council. The municipal environment often includes barriers that exclude people with restricted mobility. These barriers may be the result of natural topography, historic planning, deterioration of the urban environment or planned and unplanned maintenance. Some of the barriers may not be known to the local authority. People with mobility impairments are on the frontline when it comes to negotiating these obstacles, and often have their own knowledge and strategies in negotiating and circumventing them. This is a resource that could be invaluable in helping others who face similar challenges, as well as helping local authorities identify where interventions need to be made. One of the aims of Mapping Mobility Stockport was to begin to map and find ways to continue to share these strategies. Using our Joy Diversion format as a basis, Open Data Manchester co-designed and ran a series of workshops with Age UK and Disability Stockport, which brought together different techniques and mobility strategies contained within the local community to enable people of all abilities to explore and map their environment. We used large, hi-resolution maps of Stockport to scribble on and sketch out routes, before taking to the streets to document, photograph and map the kind of things that these communities come up against on a daily basis. This information was then added to Stockport Council’s mapping system and Open Street Map, helping create a mobility map of Stockport. This talk will explore how we collected this data, sharing some of the findings and insights from the project, such as how what is useful for one disability can be problematic for another (such as tactile paving, which is useful for those with visual impairments but can be problematic for a wheelchair user). The talk will also explore the difficulties that arose out of this when categorising and tagging these features, and question whether more needs to be done in terms of mapping the streets and sidewalk. about this event: https://pretalx.com/sotm2019/talk/9FQVUT/

<p>'Public Transport Navigation using OpenStreetMap by OsmAnd'</p> <p>The presentation describes stages of developing and starting of new feature of OsmAnd app.</p> <p>OsmAnd is the first among the large OSM apps that developed public transport support. Now we continue to improve this function further, add new modes of transport, and experiment with the settings.</p> <p>How we came to the idea of ​​public transport? In the presentation, we will explain why we use the PTv2 scheme, why this option is preferred, and how it works. In addition, in our report, we will consider the future support of GTFS.</p> <p>During the work we faced various difficulties, so we will explain what these difficulties were and how we tried to build at least something. We will also cover how OSM users can help us, and whether it is possible and how long it will take to improve the data.</p> <p>Lastly, we will present our results and plans, namely, what was our most significant success and how we want to build an editor for public transport..</p> <p>We launched the function at the beginning of the year, and throughout the year we tested it, supplemented it with new conditions for building a route and tried to take into account all possible conditions for building routes. Although the data in the OSM have not proved to be always correct, everything can be fixed by the community.</p> about this event: https://pretalx.com/sotm2019/talk/NWW7GF/

OSM2World is an open-source renderer capable of creating rich 3D worlds from OpenStreetMap data. It is now available as a web application powered by WebGL. OpenStreetMap contains a wealth of data that can be used to build a 3D representation of our world. Some of it, such as buildings mapped using the [Simple 3D Buildings](https://wiki.openstreetmap.org/wiki/Simple_3D_Buildings) tagging convention, is intended primarily for 3D use cases. Other feature classes, such as roads and railways, urban infrastructure, or landuse information, aren't usually mapped with 3D in mind, but are nevertheless essential ingredients of a 3D world. In either case, unlocking the full potential of OSM data and converting it into a representation that's suitable for typical use cases in the domain of 3D rendering requires specialized software tools. [OSM2World](http://osm2world.org/) is one of these tools. Fully open source, it can be used to export 3D data for modelling software, animations, and games, as a library in other programs, and as an interactive map on the web. Until recently, however, the lack of a powerful 3d rendering solution for the web put constraints on the features available without a local installation of the software. Today, the WebGL standard allows real-time 3D rendering in all major browsers. A new web frontend for OSM2World builds on these capabilities to allow users to explore the world in 3D, based entirely on open data. This talk demonstrates the abilities of OSM2World and its new web frontend, showcases some impressive 3D mapping around the world, and briefly explores how the software works behind the scenes. about this event: https://pretalx.com/sotm2019/talk/V7QPGG/

Pic4Review now helps contributors to integrate open data properly in OpenStreetMap using street pictures validation. Discover the way it works and how this can help improve both OSM and open datasets. [Pic4Review](http://pic4review.pavie.info/) is a new editor to work on OpenStreetMap using open street-level pictures offered by Mapillary, OpenStreetCam and Wikimedia Commons. You can create thematic missions to work on a specific subject. The features are loaded in the tool, which automatically find available pictures around it, and offers a simple interface to answer questions and editing the features. At start, it was helping contributors adding details on existing objects, like accessibility of crossings, name of shops, levels of buildings... This offers a wide range of possibilities, and was already used by hundreds of contributors to edit around 100000 features worldwide. Now, it also offers to integrate open datasets into OpenStreetMap, the proper way. The complexity of integrating open data in OSM lies in the accuracy of these datasets : we should check if features are correctly located, and properly described. This can be done by surveying, or using freely available pictures of our streets. This is what Pic4Review offers to simplify : import your dataset, create a mission, and work in team to integrate the data which can be verified. This talk will present the problem of open data integration, the Pic4Review tool, and the process of using it for integrating open data. about this event: https://pretalx.com/sotm2019/talk/JGHWKY/

Norway has deployed OSM on a national level for journey planning and is taking initiatives to expand the user, and usage of OSM in Norway and abroad. Entur’s mission is to enable and increase the use of public transport in Norway. Entur operates the national registry for all public transport in Norway, collecting data from 60 public transportation operators. The registry contains data about 21,000 daily departures on 3,000 routes. This data is open and free of use for app and service developers. We would very much like to present our success story of using OSM data as the foundation for all interchanges and routing in our national journey planner (used in the app: Entur, and http://en-tur.no), and the surprisingly easy challenges we faced due to the quality of OSM data, and the way we solved the large scale challenges, such as missing roads around the country. Why we are going to continue to build on the usage of OSM, OpenTripPlanner and other open source platforms on a European wide base to create an ever-improving public transport information distribution. We are actively engaging with the Norwegian community to build relations, improve quality and mapping methods, even arranging beer meetups. We are of course providing all our data openly, making it easy for OSM to make good use of for example our national stop place database, or for our NeTEx based time table data to be used in innovative solutions. about this event: https://pretalx.com/sotm2019/talk/CXVMJ8/

As of today we have OpenStreetMap but it doesn't fit all data and some data is not recommended for submission. We've got user reviews request in OsmAnd and Maps.Me and we would like to collaborate with OpenStreetMap community to create independent open platform for reviews. I would like to talk about how data could be stored and moderated and would like to explain how that data will be further integrated with OpenStreetMap and will be contributed back to OSM! One of the main contribution to OSM database itself will be justified places and details of places itself. I will explain how tools will validate License sanity and avoid Import problem to OSM i.e. how every edit will be administered by OSM-user. In the end we would like to have seamless OSM user experience integration and create open OSM-satellite project. *OpenPlaceReviews - A new way for local reviews* Open. Collaborative. Trustworthy. Openness - make all the reviews data open, so every project can access and contribute back. Community driven - build a community to make decision about moderation, data structure together. Decentralization - develop a decentralized system from the Day 1 to avoid scalability issues in the future. Trust - create tools to detect fraud, spam & keep all the data open to prevent any data manipulation. Monetization - make business subscriptions once the project is matured and spread the income between applications, authors, moderators and network operators. Further Description will be provided. Further Description will be provided. Further Description will be provided. about this event: https://pretalx.com/sotm2019/talk/LBGPCD/

Replacing the classics "Continue for about 200 m then turn left" by guidance instructions in more natural language automated from landmarks are still a research topic but aims to allow users to move with more confidence. The objective is to test it on an indoor/outdoor pedestrian route calculator. Anything that can be used as a landmark is extracted from OpenStreetMap, then categorized and classified to annotate the route: relevance, visibility, relative position… Replacing the classics "Continue for about 200 m then turn left" by instructions in more natural language with landmarks incorporation. It aims to allow users to move with more confidence in and around railways stations. Guidance instructions in more natural language automated from landmarks are still a research topic. Innovation & Research branch of SNCF, French National Railway Company, has delegate to Makina Corpus the task to implementation the state of the art in this field. The objective is to test it and then improve an indoor and outdoor pedestrian route calculator under development. Anything that can be used as a landmark is extracted from OpenStreetMap, then categorized and classified. The landmarks are evaluated to annotate the route: relevance, visibility, relative position.… The process have to deals with indoor and outdoor but also as points or large landmarks. We talk on subjects like evaluate how OpenStreetMap objects are suitable to be landmarks. We also expose how check for objects visibility based only on OpenStreetMap data, or how to allow landmark to be visible from outside a building or room depending on the outdoor or indoor status of the observer. The railway stations context has the particularity to require support of transition between indoor and outdoor. about this event: https://pretalx.com/sotm2019/talk/ZJYT7F/

Reichen für die vielbeschworene "Datensouveränität" ein hohes Maß an Compliance und IT-Sicherheit aus, oder müssen wir neu denken? Interoperabilität, Portabilität, neue Verfügungsrechte, "Daten für alle" oder einfach eine strikte Durchsetzung des Datenschutzrechts - was ist am besten geeignet, den Bürgerinnen und Bürgern wieder mehr Hoheit über die sei betreffenden Daten zu verschaffen? Reichen für die vielbeschworene "Datensouveränität" ein hohes Maß an Compliance und IT-Sicherheit aus, oder müssen wir neu denken? about this event: https://datenspuren.de/2019/fahrplan/events/10442.html

<p>... ein gesellschaftliches und solidarisches Patch <br> <strong>TL;DR</strong><br> Was können wir in einer Umgebung der Anpassung tun, um kritisches Bewusstsein zu fördern und die Abhängigkeit von Expert*innen zu mindern?</p> <p><strong>Ausgangslage:</strong><br> Staatliche und Konzerninteressen prägen längst die Art, wie wir Technik nutzen und Medien konsumieren. Es wird uns leicht gemacht, uns mit den vorherrschenden Verhältnissen zu arrangieren. Spaß am Gerät und Medien, reichen heute nicht mehr aus, um auch kritisches Bewusstsein zu fördern und aus der Konsumentenrolle auszubrechen!</p> <p><strong>Inhalt des Vortrags:</strong></p> <ul> <li>Warum finden sich so viele Menschen mit der <s>unterdrückten</s> angepassten USER-Rolle ab?</li> <li>Was können wir gegen die vorherrschende Passivität und Resignation machen?</li> <li>Wie können wir die Abhängigkeit von Expert*innen mindern?</li> <li>Wie können wir gezielt ein <strong>kritisches Bewusstsein</strong> fördern, das auch zu einer <strong>kritischen und solidarischen Praxis</strong> führt?</li> <li>Warum sind wir in der Gefahr, <strong>selbst zu Unterdrücker*innen</strong> zu werden?</li> </ul> </br></br> <p><strong>Anschließend Meetup für Fragen/Diskussion:</strong><br>14:15 im Seminarraum</p> about this event: https://datenspuren.de/2019/fahrplan/events/10450.html

OSM Teams is a software framework for building team-based applications on top of OpenStreetMap. We will present how the software is built, why we think it's a good tool for communities, and how you can integrate your application with the framework. OpenStreetMap is first and foremost a community platform. A lot of OSM mapping emerges from grassroots collaborations, from local neighborhood communities to large-scale mapping initiatives. These collectives need tools to communicate, collaborate and sustain their combined motivation around mapping, and to that end we present OSM Teams. OSM Teams is a software framework for building team-based applications on top of OpenStreetMap. Development Seed built Teams internally to coordinate mapping projects, and to share tasks and statistics across mapping applications built on top of OSM. By building an authentication and authorization framework on top of the OSM login, we enable a second identity layer for teams that can be shared throughout apps. If adopted by the wider community, OSM Teams would bring structure to organizational editing. Teams would also support individual mappers by empowering them to discover new communities and causes, and to better understand who else is editing the map. With this presentation, I would like to start a technical and community focused conversation about running organizations, teams, and communities using this framework. Specifically the questions I would like to bring to the community are: how does this fit with existing community patterns? How do we reduce complexity for new mappers? What new application possibilities does this open up? about this event: https://pretalx.com/sotm2019/talk/XHGBU7/

JOSM is almost as old as OSM but few people really know what it takes to maintain your preferred editor. We'll present the development model of JOSM and who's part of its active community: developers, translators, testers, plugin authors, end users, sponsors, etc. We'll talk about the project difficulties, the major achievements made in the past years, what work is currently in progress and what will happen in the near future! JOSM is almost as old as OSM but few people really know what it takes to maintain your preferred editor. We'll present the development model of JOSM and who's part of its active community: developers, translators, testers, plugin authors, end users, sponsors, etc. We'll talk about the project difficulties, the major achievements made in the past years, what work is currently in progress and what will happen in the near future! about this event: https://pretalx.com/sotm2019/talk/88ZHKQ/

The OpenStreetMap (OSM) community is a global community crossing cultures, languages, and geographical boundaries. Researchers have been working to develop automated approaches to understanding the composition of this community through their contributions to the OSM database. In this talk we propose a new and novel application of theories and models of species abundance from ecological science to understand contributor community structure and distributions in OSM. **Motivation: ** Community is a word that evokes different images for different people. Socially, we as humans require interaction with other people and society is built around people coming together into social groups we call ‘community’. Communities identify different groups and very often the bond within these communities in a set of shared goals and the division of sharing of labour and skills among other resources. Indeed some scholars believe that the feeling of contributing positively to our own communities is one of the most fundamental feelings of satisfaction in life (Proctor, 2013). In all of these ways the now millions of contributors to OSM form the OSM Community. Attempts to understand how the OSM community works have appeared in the academic literature. Amongst the research community there is a curiosity and fascination about the OSM community given: the global extent of OSM crossing cultures, geographical boundaries and languages; the altruistic nature of its members; and its obvious success as a primarily Internet-based community different to almost every non-crowdsourced community we know from our everyday lives. **State of the Art: ** In this talk we shall argue that the model of community required for OSM is more nuanced that many of the current quantitative approaches. Neis et al (2013) amongst others have used concepts of junior, senior, local, external mappers which does capture the distribution of contributors to OSM well. OSM has been shown to loosely adhere to the 90-9-1 rule of Neilsen (2012) which highlights that about 90% of the members of community-based projects are usually only consuming the collaboratively collected information, while 9% occasionally contributes to the project and only 1% demonstrate a very active pattern of contribution of activity. As Begin (2018; PhD Thesis) argues 'characterizing Volunteered Geographic Information (VGI) data requires understanding contributors’ behaviour and many typologies of contributors are proposed in an attempt to link VGI contributors with the nature of the data they provide'. In Begin et al (2018) the authors identifies the different phases of contributor life cycle from a temporal perspective as a contributor's lifespan is a 'university metric'. In a more computationally complex approach Truong et al (2018) develop a multigraph approach with data mining to characterise individuals and identify behavioural groups. The implementation of a multiplex network based on an OSM data sample and an initial analysis make it possible to identify useful behaviours. **Methodology**: We consider a very novel approach to community identification and understanding by borrowing concepts and methodologies from theories and models of species abundance to the individual contributors of the OSM community. This is a novel approach in VGI but a decades old and mature branch of Ecological Science. As Hughes (1986) points out "It is a common observation that in samples from animal and plant communities most of the individuals belong to a small number of abundant species, whereas most of the species are represented by a small number of individuals". In OSM we see that most individual contributors make a small number of edits. However, from the global OSM community, a small number of species (groupings) are represented by a small number of contributors. For example contributors who have contributed thousands of GPS traces or thousands of building objects. We use the OSM Planet History data for a number of selected regions to consider the contribution history of those OSM community members who have contributed in those regions. All software is developed in Python. We then develop and apply the Community Level Modesl (CLMs) from Maguire et al (2016) and others. We define different types of OSM community member species. Species characteristics are based on contribution history and patterns and can be easily changed. For example, we may create a species which are differentiated by the number of OSM Relations they have created/edited. We could decide on three species groups: 0 - 10 relations, 10 - 100 relations or greater than 100. More sophisticated species can be developed. CLMs allow the creation of a species co-occurrence matrix to environmental variables (such as quantity of edits, types of tagging used, etc) which allows prediction of the community structure and the distributions of individual species. Maguire et al (2016) argue that in ecological communities CLMS ha

This study examines OpenStreetMap data quality at different stages of a participatory mapping process developed for understanding inequalities in healthcare access of informal urban residents in Africa and Asia. Recent studies have examined quality intrinsically and extrinsically. However, in both cases, the data production processes are often not completely transparent to researchers, therefore limiting possibilities for systematic data quality analysis of the processes leading to OpenStreetMap update. Globally, the lack of detailed quality spatial data of informal urban settings, such as slums, is increasingly becoming a concern to both researchers and development agencies (Hachmann, Jokar Arsanjani, & Vaz, 2017; Kuffer, Pfeffer, & Sliuzas, 2016). One potential for making spatial data available is through Volunteered Geographic Information (VGI) which is opening up new possibilities of data production in recent years and facilitating the emergence of several initiatives aimed at “putting the most vulnerable people on the map” (MissingMaps.org, 2018; Shekhar, 2014). The increasing availability of volunteered and crowdsourced geographic information, in particular OpenStreetMap (OSM), has led to plethora of scientific studies with emphasis on evaluating the quality of the OSM data. The quality assessment results are usually presented in the form of tables, diagrams, map and statistics per given area (Barron, Neis, & Zipf, 2014; Sehra, Singh, & Rai, 2017). Some recent studies have examined OSM data quality without using any external data; the so called intrinsic approach (Barron et al., 2014). In contrast to intrinsic approach, other studies commonly used what is referred to as the extrinsic approach where the OSM data is compared with external datasets such as the UK Ordnance Survey data or National Park Service lists (Haklay, 2010; Zipf, 2017). In both approaches, the data production processes are often not completely transparent to researchers therefore limiting possibilities for systematic data quality analysis of the processes leading to OpenStreetMap update. This presentation examines OSM data quality at different stages of a participatory mapping process developed as part of an ongoing research project focused on understanding inequalities in healthcare access of slum residents in the Global South. The following research questions are addressed: (1) What is the level of spatial data quality one can expect at different stages of the mapping process leading to final update of the OpenStreetMap database? (2) What are the factors influencing quality? Our exploratory method applies recently developed data analytics framework for spatio-temporal analysis of OpenStreetMap History Database (OSHDB) to our study areas vis-à-vis the participatory mapping process workflow. OSHDB framework will serve as a mediating framework to allow flexible analyses of OSM full history data completeness in our study areas. A multi-country case study associated with an ongoing research project of the National Institute for Health Research Global Health Unit on Improving Health in Slums at University of Warwick is used. This Unit focuses on health services in slums through the study of seven slum sites across two continents (Asia and Africa), with the ultimate aim of finding optimal ways to deliver health services to slum dwellers (Lilford, 2017). The historical data sets are derived from the following stages in the participatory mapping process: before online mapping (i.e. digitisation from satellite imagery), after online mapping and validation but before ground-truthing, and, after ground-truthing. The before-and-after estimates at each mapping stage are discussed together with lessons learnt, and feedback, from the project including comments from fieldworkers and supervisors. We thus present initial results from a spatial data quality assessment of the mapping process workflow used to map our study areas and update the OpenStreetMap database. about this event: https://pretalx.com/sotm2019-at/talk/MWS9ZC/

In this research, the OSM-Notes feature is mainly viewed as data that can be examined speedily from OSM data globally in terms of the content of the notes posted and the location of users. Data from volunteered geographic information (VGI) and public surveying are essentially different; while a great quality and quantity of data is available for VGIs, discussions about data quality are scarce (Senaratne et al., 2017). As the use of VGI in business expands, attempts have been made to develop quality verification tools (cf. KeepRight and Validation OSM) with the understanding that, in addition to position accuracy, data quality equally depends upon the diversity and interaction of the number of users involved in data generation (Haklay et al, 2010). OSM-Notes is a capability for describing errors and discussing OSM data and fixme, although there are few research cases (Seto et al., 2017). This feature is new and was only added to OSM.org in April 2013. It allows users to specify and comment on any point on the map, and the history of comments can be accumulated and closed when the problem is solved. Unlike the fixme tag (allows contributors to mark objects and places that need further attention in the form of a "note to self" or request for additional mapping resources), this function does not directly associate with OSM data, but there is no need to have an OSM account. In this research, the OSM-Notes feature is mainly viewed as data that can be examined speedily from OSM data globally in terms of the content of the notes posted and the location of users. The purpose of the research is to analyze the context of OSM-Notes use through a “GIS” approach (Cope & Elwood, 2009). This analysis was conducted on data dumped from Planet OSM (https://planet.openstreetmap.org/) as April 2019. Since planet-notes.osn (about 782MB) is a special binary format, we used an enhanced parser able to separately output open (unresolved discussions) and closed (resolved discussions) based on osn2osm. After converting to .osm format data, the set was combined with Natural Earth's border data and population data and treated as spatial data. As a result, there were OSM-Notes postings in 237 countries: 415,433 open and 129,887 closed records. By counting the number of OSM-Notes postings by country based on whether they are open or closed, we determined that the majority were in the United States, Germany, and Russia. Moreover, it became clear that Japan, Canada, Korea, and Taiwan are the regions where there are a large number of submissions in urban areas (based on Natural Earth’s definition). In addition to these, many OSM users have posted from many countries, including Iraq, Ukraine, and Ecuador, and it is clear that active discussions are being held by many contributors. In these countries, mapping for humanitarian assistance is commonplace, as other reference resources are unavailable, so it is necessary to improve data quality through the use of OSM-Notes. OSM-Notes even has a function that allows non-OSM users to post, as is the case with 50% or more of the posts in Spain, Korea, etc. This data can be used to analyze urban trends and spatial features within a single country. For example, according to the analysis for Japan, OSM-Notes has many posts about the location of shops and POI (Point of Interest), and suggestions based on Maps.ME, Facebook, and Pokémon go. This is considered to be the main reason that anonymous posting is permitted. It is also worth noting that very few users post only a single note. Thus, by analyzing OSM-Notes, it is possible to grasp hot issues between users of OSM data. Overall, OSM mapping was found to be more common in developed countries with active mapping, but similarly, bug reports from non-OSM applications as developing countries that require discussion among OSM users, and as a new aspect. Moreover, how to accept it is an important issue in considering the process of constructing OSM data. However, because the functional relationship between OSM-Notes and the data on OSM cannot be specified directly, the nature of the feature is also difficult to grasp directly compared to the fixme tag. about this event: https://pretalx.com/sotm2019-at/talk/GRR3N3/

Travelers have high expectations of their route planners. We explore how preprocessing techniques applied to Linked Open Data derived from OSM (Routable Tiles) can provide a satisfying performance for client-side route planning. Travelers have higher expectations than current route planning providers can fulfill, yet new solutions struggle to break through. Matching user experience from existing applications is already challenging without the large-scale infrastructure most of them have at their disposal; additionally integrating datasets such as the road network, public transportation schedules, or even real time air quality data is an even more laborious endeavour. W3C and OGC mention the usage of Linked Open Data as a best practice for publishing interoperable geospatial datasets. Instead of relying on proprietary data formats or monolithic CSV files, Linked Open Data uses the RDF data model as a framework for existing domain models. Every data element, and even the relations between them, receives a Uniform Resource Identifier (URI). Data publishers can reuse these identifiers to unambiguously refer to resources on the Web, thus making individual data sets more interoperable. The ultimate goal being automated integration, giving even clients the power to execute the queries. Client-side querying differs from traditional approaches but provides some advantages: (i) it takes the load off the service provider, (ii) the data can be cached for subsequent queries, and (iii) the user leaks less personal data. The OSM road network has recently been published as routable Linked Open Data, following a similar approach to vector tiles (http://pieter.pm/demo-paper-routable-tiles/). However, executing route planning queries on the client is still an unsolved problem. Long-distance queries require large amounts of data and downloading all the data takes a long time. It also makes caching less effective because caches have a fixed capacity, and writing to a full cache will evict other data. Moreover, even when all the data ingredients are there, processing them may still take a long time. State-of-the-art route planning algorithms achieve better query execution times by using auxiliary data that has been computed in a preprocessing phase. The biggest bottleneck in client-side querying is bandwidth; downloading more data to improve query times will ultimately make querying even slower. Client-side route planning requires a different approach to match the quality of service of existing services. We explore several ways of preprocessing the tiles to improve the user-perceived performance of query evaluation. As a first step, we compute how to efficiently traverse pedestrian areas. Only the boundary edges of these areas are defined in OSM which means that most routing engines route along these edges, yielding suboptimal paths. Secondly, we identify which nodes and ways are actually needed to cross an individual tile, filtering out the elements that are only used for local traffic. Queries only need the full tiles around the departure and arrival locations. Finally, a hierarchical network graph is computed using an adaptation of the contraction hierarchies algorithm. Each step yields a different view of the tile data and the results are published as Linked Open Data, in accordance with the W3C and OGC best practices. We integrated the results into a route planner for public transportation. The road network is used to route to and from public transport stops. We found that short-distance one-to-many queries such as getting to the closest nearby station that initially took around 400 ms to complete only take around 260 ms now, and the first results are presented after 140 ms. The difference becomes bigger over long distances; queries that used to take minutes to complete can now be answered in seconds. More importantly, downloading and querying the road network is no longer the main bottleneck. The majority of the querying time is currently spent on parsing the data files, which seems like a tooling issue that should resolve itself as the linked data ecosystem matures. about this event: https://pretalx.com/sotm2019-at/talk/GRJC7W/

The PostgreSQL database with the PostGIS extension is an important instrument in the toolbox of anybody working with OSM data. This talks explains the basics of working with the SQL database and how it handles geographic data. We'll look at getting OSM data in and out of such a database and what we can do with the data once it is in there. The PostgreSQL database with the PostGIS extension has always played an important role in the OpenStreetMap project. The main OSM database is a PostgreSQL database, tile rendering is most often done from a PostgreSQL database, data analysis and data transformations using current or historical OSM data can be done with PostgreSQL. But understanding what the database can and can not do isn't always easy. And there are a ton of tools, from osm2pgsql to Imposm to Osmosis to Osmium and beyond that "do things" with OSM and PostgreSQL databases. It can be daunting to understand what they all do and where their place in the larger OSM ecosystem is. This talk is an introduction into some of the concepts of SQL and geographical data in an SQL database as well as a whirlwind tour about uses of PostgreSQL in the OSM context. We'll talk about use cases from rendering, to data analysis to routing. We'll talk about the data models that enable those use cases and the software that implements them. And we'll also talk about where the limits are and what things can better be done outside the database. The audience will walk a way with an idea of how things fit together and how to approach their own projects using PostgreSQL. about this event: https://pretalx.com/sotm2019/talk/K8N3XY/

The project created from the cooperation between GeoLab (Universidad de Antioquia), and SiCLas (group of cyclists), both present in Aburrá Valley (Colombia), proposes a collaborative mapping by bicycle users as an urban transport mode. The data generation from existing cycling infrastructure will allow an improvement of OSM database, and an optimization in route calculation. In addition, the incorporation of surveys will allow the generation of thematic maps, such as the association of gender with mobility. The cities of the Aburrá Valley, with Medellín as a core city, present a network of bike paths, and the theme of sustainable and non-motorized mobility is gaining increasing importance in public policies in the region. Meanwhile, everyday cyclists, who use the bicycle on a daily basis as a mode of transport, know that this cycling infrastructure has lacks in several aspects, such as a fragmented presence in the territory, non-direct routes, among others. In addition, the cycling infrastructure in OpenStreetMap is not completely mapped or has erroneous information, this represents a problem for cyclists who wish to transport themselves through the city and identify the most appropriate route to their destination. It does not have accurate and relevant information for users such as the location of bicycle parking, bike-share stations and multimodal stations, among others. These reasons represent a disincentive for more people to choose the bicycle as a mode of transport. For these reasons, this project aims to map the existing formal cycling infrastructure, urban transport routes used by cyclists, to optimize route calculation, and aims to create a platform that allows the visualization of safety data, infrastructure, environmental problems (air quality) and gender mobility, among others, in which the information of shared eventualities can be collected and uploaded by the users. From the cooperation created between the GeoLab research group of the University of Antioquia – YouthMappers chapter, and the SiClas group of cyclists, both entities present in the Aburrá Valley, a considerable number of cycling activists will be mapping the cities of the valley with the OSM platform and tools open. The discussion of the existing tags in OSM for the mapping of cycling infrastructures is a topic of interest in the project, and can contribute to a discussion of the creation of new tags in OSM. The status of current information will be verified and corrected and the missing routes mapped. The tools to generate the thematic maps will be KoBo Collect, Mappillary, among others. about this event: https://pretalx.com/sotm2019/talk/KATR7E/

More than 17 million edits globally have been made by paid contributors in the last five years. We look at the long history of corporate involvement in OSM and then dig into the data to quantify the impact this latest evolution of corporate involvement is having on the map and explore the interactions between paid and volunteer mappers. OpenStreetMap (OSM) is both a map and the active community of over a million mappers that create and maintain it. Participation in OSM has largely been studied in terms of motivation and the resulting data quality. Today, the community is comprised by many different interest groups including craft/hobby mappers, humanitarian mappers, professional mappers, and more. The last few years have seen a dramatic growth in a specific group of mappers: corporate editors. These are mappers hired by corporations and edit the map as part of their employment. In November 2018, the OSM Foundation published the _organized editing guidelines_ that outline a number of steps all groups engaged in organized editing activities (including corporate data teams), should take to promote transparency, openness, and engagement with other mappers—especially local community. This work identifies ten corporations that are complying with these guidelines and explores their mapping activities. We found these corporations have cumulatively edited over 17M objects globally in the last five years, of which 9M were edited in 2018 [1]. First, we traced the history of corporate involvement in OSM to show that while this growing phenomena of corporate editing is new, it represents just the latest stage in a long history of corporations both contributing to and benefitting from OpenStreetMap. Next, we used historical quarterly-snapshot OSM-QA-Tiles to quantify where the ten corporations are active on the map and what types of edits they are performing. We find these edits are global in geographical scope, yet vary per corporation in location and edit type: Corporations heavily impact road networks, yet non-corporate mappers maintain the majority of all edits by mapping more buildings and points-of-interest [1]. To date, this research has quantified and contextualized the growing phenomena of corporate editing in OSM and identified the need for more in-depth analysis to more descriptively explain the impact to the map and volunteer mappers in these regions where corporate-editors are active. To further explore these impacts, we need to dig deeper into the editing record to describe the evolution of the map. For this, we are building upon open-source OSM data-processing tools to construct new vector tiles with with full OSM editing histories [4]. These new historical analysis tiles allow us to efficiently explore the evolution of the map in these regions. This allows us to better contextualize and visualize the interactions between corporate editors and volunteer mappers at scale. Previous research has shown that the road network typically gets mapped first and the map builds up from there [2]. To this extent, we will explore the notion of _map seeding_ whereby paid editors create the first version of the road network, seeding the map for others to maintain and grow. Supporting such an idea is the concept of _densification_ of the map, where some mappers prefer to edit where there is existing—though incomplete or sparse—map data, instead of a beginning with a blank section of map [3]. The concept of such editing patterns highlights the nuances in effectively measuring the impact of paid editing on the map. In other words, this question is more complicated than “are corporate editors taking over?” The first part of the research presented here was recently published [1]. The deeper exploration of the data to identify and explain the impact to the map and local communities is current, ongoing research. At State of the Map, I will briefly summarize the completed work to better set the context, and then present the results of our ongoing investigation on the impact to the map and community. 1. Anderson, J., Sarkar, D., & Palen, L. (2019). Corporate Editors in the Evolving Landscape of OpenStreetMap. ISPRS Int. J. Geo-Inf. 8, 232. 2. Ciepłuch, B., Mooney, P., & Winstanley, A. C. (2011). Building Generic Quality Indicators for OpenStreetMap. 19th Annual GIS Research UK (GISRUK), 5. Retrieved from http://eprints.maynoothuniversity.ie/2483/ 3. Corcoran, P., Mooney, P., & Bertolotto, M. (2013). Analysing the growth of OpenStreetMap networks. Spatial Statistics, 3, 21–32. https://doi.org/10.1016/j.spasta.2013.01.002 4. OSM-Wayback Utility available at https://github.com/osmlab/osm-wayback about this event: https://pretalx.com/sotm2019-at/talk/W8BA9K/

Who benefits from the mapathons: between (over)communication and (over)attribution, critical feedback on the inflation of a form of action oversold in the field of humanitarian action and development aid. Really for the benefit of OSM? It would be possible to multiply the subtitles for this "Mapathon, mapathon, mapathon!" talk which questions the almost mandatory use taken by this form of collective OSM contribution for humanitarian and development aid stakeholders in the southern territories. "Mapathons in the "south" for what?", "A mapathon does not make a summer", or "Who benefits from mapathons?"... This presentation will aim to open a discussion about the inflation of one specific OSM contribution, to identify the diversity of its practices, the logics of communication, attribution, the quality issues of the data produced, and list the necessary conditions for a mapathon to actually benefit the OSM project in the southern countries and not harming its database. Like in Milano's Bird of Feather sessions last year, this talk will be collectively built with African mappers involved for many years in these activities and ideally co-facilitated by those from Western Africa successful in getting visas and traveling to Heidelberg. This talk is meant to introduce a Bird of Feather session opened to anyone active or interested in this topic and how it impacts the OSM dynamics in the hard environment of the countries of the Global South and especially southern countries of Africa. about this event: https://pretalx.com/sotm2019/talk/GQ3AAF/

Services that provide money advice, access to food provision, digital access and community support are key to supporting those facing poverty. “Our Falkirk” is a simple mapping platform for service discovery that allows enriched OSM data to be easily described, mapped and shared through the concept of data ‘themes’. Falkirk Council is one of 32 Local Authorities in Scotland. Located in the centre of Scotland with a population of around 155,000 people, 1 in 5 people and 1 in 4 children in the Falkirk Council area are estimated to be living in poverty. Fairer Falkirk is Falkirk Council’s strategic response to the rising poverty in the Falkirk Council area. It brings community planning partners together and sets out in detail a series of practical, deliverable, and achievable programmes aimed towards mitigating the impact of poverty on individuals and families. Services that provide money advice, access to food provision, digital access and community support are key to supporting those facing poverty, but ensuring that local people and front-line staff have access to up-to-date information relating to these services is challenging. With funding from the Open Data Institute (ODI)’s Local Government Geospatial Data Stimulus Fund, Fairer Falkirk and their technology partner thinkWhere have harnessed the richness and flexibility of OpenStreetMap to create “Our Falkirk”: an online, map-based tool to allow local people to easily access information on services in the area. The presentation will look at how we’ve created a simple mapping platform for service discovery that allows enriched OSM data to be easily described, mapped and shared through the concept of data ‘themes’. We’ll look at some of the key challenges and opportunities identified through this process, and show how taking an Open Data approach has allowed Falkirk Council to democratise access to vital information through the streamlining of data creation of publication. We’ll look at potential next steps and sign-post the resources now available as a result of this fully open–sourced project. about this event: https://pretalx.com/sotm2019/talk/YENWFX/