Chaos Computer Club - archive feed

OpenStreetMap has many details about streets, but applications rendering or simulating lane-level detail face many challenges: determining lane properties along one street, calculating geometry of streets and junctions, handling motorway entrances, dual carriageways, dog-leg intersections, placement tags, and parallel sidewalks and cycleways. osm2streets is a new effort to produce a cleaned-up street network graph with geometry. It's a Rust library, designed to be integrated with browser apps like iD or native/Java apps like JOSM. The goal is to consolidate community efforts to solve these data transformation problems, and to produce high-detail vector maps and apps for improving lane tagging with immediate visual feedback.

Start using this at https://osm2streets.org

about this event: https://2022.stateofthemap.org/sessions/9NHQQM/

Klassische Fileserver können in vielen Fällen durch Web-gestützte Dateimanagement-Tools ergänzt oder auch gänzlich ersetzt werden.

EGroupware hat einen Dateimanager integriert und bietet viele Möglichkeiten zur Dateiverwaltung inklusive Filesharing und Online Office-Integration.

Dieses Vortrag greift diese einzelne Anwendung aus EGroupware heraus und zeigt die Funktionen und Einsatzmöglichkeiten im Detail.

Der in EGroupware integrierte Dateimanager kann als (alleiniger) Fileserver eingesetzt werden und bietet viele Möglichkeiten zur Dateiverwaltung inklusive Filesharing und Online Office-Integration.

Dieses Vortrag greift diese einzelne Anwendung aus EGroupware heraus und zeigt die Funktionen und Einsatzmöglichkeiten im Detail:

* Dateiverwaltung im Dateimanager

* Sharing (intern/extern)

* Collabora Online-Integration

* Zugriff per WebDAV

* Benutzerdefinierte Felder, Berechtigungen, …

* Umwandeln => PDF, jpg

* Mounten von externen Verzeichnissen

* Mobiler Zugriff

* Automatische Ordner für EGroupware-Objekte

* Was ist ein VFS?

* Sicherung der Daten

* Standard-“System“-Verzeichnisse

* [EPL-Funktion] Versionierung, Abonnierung

* [EPL-Funktion] Zusammenspiel mit Kanban

* [EPL-Funktion] Anzeige Ordnernamen

Vorkenntnisse sind nicht erforderlich. Hilfreich sind aber erste Kenntnisse zu EGroupware.

Dazu stehen zwei **Videos von den Tux-Tagen 2020** zur Verfügung:

EGroupware (User-Sicht) und EGroupware extended (Admin-Sicht)

https://help.egroupware.org/t/de-tux-tage-2020-vortrage-zu-egroupware-videos-und-vortragsfolien-verfugbar/75555

Weitere Videos/Folien zu EGroupware und drum herum:

https://help.egroupware.org/t/de-ubersicht-vortrage/76255

about this event: https://programm.froscon.org/2022/events/2789.html

Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.

Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless Community. Java is known for its high cold start times and high memory footprint. For both you have to pay to the cloud providers of your choice. That's why most developers tried to avoid using Java for such use cases. But the times change: Community and cloud providers improve things steadily for Java developers. In this talk we look at the features and possibilities AWS cloud provider offers for the Java developers and look the most popular Java frameworks, like Micronaut, Quarkus and Spring (Boot) and look how (AOT compiler and GraalVM native images play a huge role) they address Serverless challenges and enable Java for broad usage in the Serverless world.

about this event: https://programm.froscon.org/2022/events/2729.html

MySQL 8.0 wird etwa alle drei Monate akualisiert. Dabei kommen immer wieder kleiner (und größere) Funktionen dazu die teils erheblich Admins das Leben vereinfachen (MySQL Dump vs. MySQL Shell Dump) In diesem Vortrag schauen wir uns die Änderungen der letzten zwei (Corona) Jahre in der Tiefe an...

MySQL 8.0 wurde bereits in 2018 als finale Version zur Verfügung gestellt und geht bald ins 5te "Lebensjahr". Allerdings wurde mit praktisch jedem Update/Patch auch neue Funktionen und Erweiterungen mit ins Produkt eingebracht.

In diesem Vortrag wollen wir uns die Änderungen während Corona mal etwas genauer anzuschauen:

- MySQL InnoDB ReplicaSet

- Binlog Compression

- Consistant reads for InnoDB Cluster

- MySQL Shell, Cloning, Shell Dump, Table Utils

- Invisible Columns

- InnoDB ClusterSets für DR Anwendungsfälle

- MySQL Operator für Kubernetes

- MySQL Cloud und MySQL HeatWave für real-time Analysen

- Instant add/rename/drop column

- uvm.

about this event: https://programm.froscon.org/2022/events/2764.html

Der Vortrag startet mit einem Einstieg zur Rechenzentrumsautomatisierung mit Foreman und Katello.

Danach wird das "Foreman SCC Manager" Plugin vorgestellt, welches die Bereitstellung von Softwarepaketen und Errata für verwaltete Systeme, auf welchen SUSE Linux Enterprise Server läuft, vereinfacht.

"SCC" steht hier für SUSE Customer Center.

Im Zuge unseres Open Source-Engagements wird dieses Plugin von der ATIX AG laufend gewartet und weiterentwickelt.

Im Moment findet eine umfassende Umgestaltung der Produktseite statt, welche wir Ihnen vorstellen werden.

= Foreman SCC Manager: Rechenzentrumsautomatisierung von SLES

Der Vortrag startet mit einem Einstieg zur Rechenzentrumsautomatisierung mit Foreman und Katello.

Danach wird das "Foreman SCC Manager" Plugin vorgestellt, welches die Bereitstellung von Softwarepaketen und Errata für verwaltete Systeme, auf welchen SUSE Linux Enterprise Server läuft, vereinfacht.

"SCC" steht hier für SUSE Customer Center.

Im Zuge unseres Open Source-Engagements wird dieses Plugin von der ATIX AG laufend gewartet und weiterentwickelt.

Im Moment findet eine umfassende Umgestaltung der Produktseite statt, welche wir Ihnen vorstellen werden.

Für den Vortrag benötigen Sie kein spezielles Vorwissen, von Vorteil sind aber Erfahrungen im Bereich der Systemadministration und der Automatisierung von IT-Umgebungen.

Im Vortrag wird das Foreman Web UI gezeigt und wie mit Hilfe des Foreman SCC Managers SUSE Produkte anlegt werden können.

== Foreman und Katello

Foreman ist ein Lifecycle-Management Tool für physische und virtuelle Systeme.

Sie können damit wiederkehrende Aufgaben automatisieren, Systeme ausrollen und konfigurieren, und versionierte Inhalte wie Softwarepakete und Errata auf angebundene Systeme verteilen.

Katello ist als Foreman Plugin für Inhalte wie Softwarepakete, Puppet Module, oder Errata verantwortlich.

Diese können manuell hochgeladen werden oder -etwas bequemer- aus online verfügbaren Quellen periodisch synchronisiert werden.

== Foreman SCC Manager

Die ATIX AG hat das Foreman SCC Manager Plugin entwickelt, um Foreman Instanzen mit SCC Accounts zu verbinden.

Damit wird die Verwaltung von SUSE Inhalten signifikant vereinfacht.

Dies ist unabkömmlich für alle, die Foreman und Katello zum Ausrollen und Verteilen von Inhalten an Systemen mit SLES nutzen.

SCREENSHOT "foreman_scc_manager_list_of_suse_products_in_katello.png"

Das Plugin fügt der Foreman Web UI eine neue Seite für SUSE Subskriptionen hinzu, wo ein SCC Account hinterlegt werden kann.

Sie können damit SUSE Produkte auswählen und diese mit einem Mausklick nach Katello übertragen.

Ohne den SCC Manager müsste jedes Produkt inklusive den Repositories einzeln und manuell in Katello angelegt werden.

Stattdessen gibt es mit dem SCC Manager eine graphische Auswahl von den in Ihrem SCC Account verfügbaren Produkten.

Im Anschluss können die importierten Repositories entweder -bei Bedarf- händisch oder -automatisiert- regelmäßig synchronisiert werden.

== Redesign als offener Prozess

Wir als ATIX AG (https://atix.de/) sind Teil der Open Source Community um Foreman.

Für uns ist Open Source viel mehr als das bloße Hochladen von Code auf Github.

Stattdessen treten wir in den Dialog mit der Community, mit Nutzerinnen und Nutzern, und Testenden, um das Foreman SCC Manager Plugin optimal weiterzuentwickeln.

Wir stellen das Redesign des Plugins vor und zeigen Einblicke in die überarbeitete Art der Produktauswahl.

Wir freuen uns auf Ihr Feedback.

about this event: https://programm.froscon.org/2022/events/2771.html

Koennen uns Werkzeuge aus dem Ethical Hacking oder Bug Bounty Hunter Bereich bei unserer taeglichen Arbeit mit Webapplikationen unterstuetzen?

Koennen uns Werkzeuge aus dem Ethical Hacking oder Bug Bounty Hunter Bereich bei unserer taeglichen Arbeit mit Webapplikationen unterstuetzen?

Im Umgang mit gekauften Closed Source Web Applikationen die auf Basis von WebSphere Application Server und Kubernetes laufen, geht es in vielen Support Fällen um die Reproduzierbarkeit und Javascript Analysen im Browser. Im Gegensatz zu 2010 tauchen viele Fehler nicht mehr im Serverlog auf, sondern muessen auf den Clients im Browser untersucht werden.

Welche Tools verwende ich taeglich um automatisiert zu pruefen ob Updates keine Fehler verursachen (Load Testing), Browser sessions aufzuzeichnen oder zu untersuchen (Intercept Proxies), Kommandozeilentools um Browserantworten weiterzuverarbeiten (JSON). Die Automatisierung von Installationen und Updates hilft gerade bei der Reproduzierbarkeit enorm (Ansible, Terraform).

Gerade bei gekauften Produkten bekommt man oft nur verzoegert Updates und muss sich um Containerupdates auch mal selbst kuemmern. Wie sieht man ohne Dockerfile welche Aenderungen in einem Container bei der Erstellung gemacht wurden? Trivy und Dive helfen beim Finden von Vulnerabilities und Dive bei der Analyse der Container.

about this event: https://programm.froscon.org/2022/events/2782.html

Sidewalks are a relevant part of the living space in urban environments, but there are still few mapped sidewalks. In recent years, the mapping of sidewalks has grown in importance among the OSM and academic communities. To cover up this gap, we propose a Github-hosted, fully open-source QGIS Plugin entitled "OSM SidewalKreator" to automatically draw for OSM the geometries of sidewalks crossings and kerb crossing interfaces. Furthermore, the tool gives the user the capacity to control the process. Then, deepen, improve, and increase the amount of sidewalk mapping in OpenStreetMap to improve accessibility and mobility worldwide.

Sidewalks are a relevant part of the living space in urban environments. The existence of sidewalks and their condition is fundamental to locomotion in general and is critically important in mobility groups such as cyclists, wheelchair users, blind people, the elderly, and children. Also, the displacement along sidewalks can ensure safety from traffic, contributing to the well-being of citizens [1].

There is still an open debate about the best way to represent sidewalks in the OpenStreetMap community. Some users claim that they should be represented only as tags of the streets, using compound tags such as "sidewalk:left/right:surface=*", arguing that over-representation can pollute the map and create unnecessary complexity [2]. Biagi [3] and many OSM users nowadays [4] have been showing the representation of sidewalks as separated geometries as allegedly their best representation in OSM. There are many listed advantages [4]: crossings may be represented as lines, with the kerb interfaces as points (8 in a regular 4-way intersection); the actual traversing length will be represented (as it will include block corners and crossings); independence from the digitizing direction, as "left" and "right" may swap if someone inverts the way direction; ease of representation for pedestrian islands. Moreover, some cases cannot be represented correctly using the tag scheme or will need some cumbersome solutions, as it shall represent the portion of the sidewalk that is orthogonally projected from the street. Therefore, if a property is different on both sides, one may need to split the highway into four segments to represent it correctly. There are also other issues, e.g. geometric properties such as the distance from the sidewalk to the street will stay unclear.

Regardless of the form chosen for representation, there are still few mapped sidewalks. For example, according to Taginfo [5], as of April of 2022, there are approximately 201 million ways with the "highway" key, but only 16.8 million (7.61%) are tagged as "highway=footway", considering the key "footway", there are only 4.8 million (2.45% of 201 million) ways tagged as such (58% sidewalk, 41% crossing), considering the tag "sidewalk=*", there are only 2.6 million (1.3% of 201 million) ways tagged. So, considering that most features are located in urban environments [6;7], where the major part of streets may have a sidewalk, the sidewalks are underrepresented in both schemes. Historically, it has been an issue, as[8] showed that in Berlin, only 5.6% of the Highways have a "sidewalk" tag, growing to only 8.2% in 2017 [9].

Recently, the mapping of sidewalks has grown in importance among the OSM and academic [10;11;12;13] communities. For example, the Open Sidewalks Initiative [14]. They are both a community and a project, providing dedicated mapping with an elaborate scheme on how to map in a pedestrian-centered way, but only manually. Drawing sidewalks and crossings is time-consuming and can be error-prone. This effort can be inferred by examining the OpenSidewalk's own Tasking Manager [15], where in the most near-completion project [16], each task has taken 9.4 minutes to be mapped, but 22.7 minutes be validated. Thus, considering just crossing mapping, for the 1046 existing tasks, it will take approximately 163.9 hours of mapping and 395.7 hours of validation. This total encompasses an area of just approx. 6.17 km2, only 0.65% of the urban area of the city of Sao Paulo, for example.

To cover up this gap, we propose a Github-hosted, fully open-source QGIS Plugin entitled "OSM SidewalKreator" [17], which aims to automatically draw for OSM the geometries of sidewalks, crossings and kerb crossing interfaces, along with the basic descriptive tags. This tool gives the user the capacity to control and supervise the entire process. It contains a user-friendly GUI (Guided User Interface) that enables and disables the buttons according to the step in the process. The plugin methodology, encompassing the steps that the plugin runs through are basically: 1) Fetch Interest OSM data (highways and optionally buildings and addresses, when available) from a bounding polygon given by the user; 2) Generate a table for standard widths for the values for the "highway=*" tag, to provide widths to highways that have no "width=*" key; 3) remove ways that aren't streets, according to a value of width below 0.5m in the table; and split into segments at road intersections; 4) generate the sidewalk geometries based on a per-segment buffer (optionally checking if it doesn't overlaps buildings), dissolve, and a negative then positive buffer to create rounded corners (if wanted by the user) and then finally extract line geometries (inner holes outlines); 6) generate the crossings geometry, using vector that that grows iteratively in a direction perpendicular to the segment or parallel to adjacent segments (according to user's choice), until an intersection with the sidewalks (dissolved as a single multipart geometry) is found, there are also filtering options, to avoid badly generated crossings, such as too long geometries or too close to other crossings; 7) split the sidewalk geometries, since sidewalks properties (smoothness, surface material, etc.) may differ many times in the same block, it can split based on voronoi polygons of building centroids and/or addresses, or with a minimal length, minimal number of segments, only block façades or don't split; 8) output all features, to a single .geojson ready to be imported at JOSM editor, where more inspection on generated data can be carried out. The plugin also outputs other auxiliary files as a .txt with a pre-filled changeset comment and intermediary files for debugging. The tool's first use test was performed in April 2022 to map the Campus Centro Politécnico of the Federal University of Paraná, with transportation engineering students, for the Horus Nav Project [18] an open-source tool for route optimization for blind people.

The key idea that guides the present work is to provide a tool to help intermediary to advanced users to speed up the tedious task of manually drawing sidewalks, crossings and kerbs. The tool does not intend to be a fully automated (a challenging task [12;13]) one-click solution but always calls the user to check out the results, step-by-step, using the resourcefulness from QGIS and JOSM. After the data importing, the user is also encouraged to carry out a validation project on a Tasking Manager. The present work also advocates for the representation of sidewalks as separate geometries as an ideal way to represent the sidewalk network. However, the tag scheme still can be helpful in some specific situations, such as representing explicitly that some highway does not have a sidewalk on one or both sides. Taking advantage of previously available data, including tag schema, is one of the features that might be included in future releases of OSM SidewalKreator and integrating properly with previously drawn sidewalks and crossing restrictions. Finally, by joining awareness in mapping communities, detailed instructions, and tools for automation, we can deepen, improve, and increase the amount of sidewalk mapping in OpenStreetMap and present a solid foundation for improving accessibility and mobility in cities around the world.

about this event: https://2022.stateofthemap.org/sessions/JNJKYR/

The United Nations Global Service Center (UNGSC) is developing Virtual Reality applications utilizing OpenStreetMap data. Through a Virtual Reality (VR) pilot project, UNGSC aims to provide UN peacekeepers on the field with 3D digital replicas of the cities in which they are operating, building a sandbox that enhances operational planning with simulations. In order to develop such applications, OpenStreetMap buildings are collaboratively edited, validated and ingested. Field mapping and street-level imagery are also extremely important to add details to the rendered buildings. There could be the possibility to organise a live demo through VR headset.

The United Nations Global Service Center (UNGSC) is developing Virtual Reality (VR) applications utilizing OpenStreetMap data. Through the Virtual Operation Center (VOC) pilot project, UNGSC aims to provide UN peacekeepers on the field with 3D digital replicas of the cities in which they are operating, building a sandbox that enhances operational planning with simulations.

Under the umbrella of the UN Mappers community, the areas of interest get mapped by means of Tasking Manager projects. Differently from other building mapping campaigns, those are different, as higher quality of the footprints is needed, as well as better placement at the ground floor level and understanding of tall buildings. Furthermore mapping can be complemented with field mapping with street-level imagery as well as smartphone applications, in order to add details on the buildings characteristics as height, levels, roof shape, color and material.

After validation of all the edited data, the buildings are ingested into Virtual Reality software development tools as ArcGIS CityEngine and Unity to develop the sandbox application accessible through VR headset. Buildings get eventually rendered utilizing OSM tags which define the 3D model of each object.

The activity has been already tested and developed in Mogadishu, Somalia, and Tripoli, Libya, where the mapping took place engaging with the local communities (OSM Somalia and OSM Libya). At the end of the talk, there could be the possibility to organise a live demo through VR headset.

about this event: https://2022.stateofthemap.org/sessions/GNG37Y/

A recent release of new scientific datasets generated from OpenStreetMap exemplifies the need for analysis-ready repositories of OSM data that require minimal pre-processing. We created the Analysis-Ready Daylight OpenStreetMap Distribution to provide researchers with the opportunity for simple cloud-based SQL queries of nearly 1B OSM features. We demonstrate the capabilities with intrinsic and extrinsic data coverage assessments of OSM buildings globally.

Despite being one of the most open and freely available spatial datasets, OpenStreetMap (OSM) data accessibility remains a challenge. Data accessibility measures how easily end-users can access and use a given dataset for their needs [1]. Because OSM data is intended to be rendered as a map or ingested into routing engines, it is often not easily consumable by data analysts. Pre-analysis workflows require OSM data to be downloaded, parsed, and converted into more common formats, which means that novice end-users of OSM may lack the experience to readily access and use OSM data in decision-making.

Incorporating communities into spatial decision-making processes, such as mapping, is important because a). community members are experts on their communities and b). have a larger stake in final solutions which directly impacts their lived-experiences[2]. OSM empowers a variety of communities, including local governments[3], digital humanitarian groups[4], and even student groups [5], to help navigate and understand places of respective importance.

Research by Nirandjan et al. recently lowered barriers to using OSM data as a reference dataset of critical infrastructure [6]. After categorizing and quantifying particular types of OSM features, the authors released the data in formats more common in geospatial analysis, such as GeoTiffs [6]. This article’s popularity (ranked 90th percentile on the publisher’s website) demonstrates the importance of making OSM data—and datasets derived from OSM—more accessible by means of familiar data structures compatible with common tools. If OSM data were more accessible for analysis, could we see it used in more geospatial research and innovation at large [7]?

While many community-maintained tools exist to convert, extract, and download OSM data, each requires domain knowledge of the unique OSM data structure (nodes, ways, and relations). Furthermore, working at the country or planet-scale requires extensive computational resources. To further lower the barriers to entry for OSM data analysis and extraction, we created the Analysis-Ready Daylight OpenStreetMap Distribution (ARD-OSM). ARD-OSM is published on the registry of open data (RODA) on Amazon Web Services (AWS), where it is freely available to anyone [8]. This dataset containing 1B OSM features is optimized for use with Amazon Athena, a serverless interactive query engine on AWS. Additionally, ARD-OSM has resolved the OSM data format into common geometries such as points, lines, and polygons. Data also includes pre-computed valuable attributes such as length, surface area, quadkeys, and geographic bounding boxes which are stored as additional metadata. To demonstrate the analytical capabilities of this dataset, next, we will perform a global OSM building density assessment.

Building density is a common metric in OSM quality research, often used to assess map coverage and completeness, such as studied by Yeboah et al. [9]. Measuring building density requires counting all of the buildings within a defined unit of spatial analysis. We use zoom-level 11 map tiles to create an analysis grid that encompasses the global built environment in fewer than 1M tiles. Then, we divide the building count by the area of each map tile to obtain the number of buildings mapped per square kilometer.

Since every feature in ARD-OSM includes the zoom-level 15 quadkey of the map tile in which it exists, we can use a SQL GROUP BY expression instead of a geospatial operator for aggregation. Here is the short query used to count the number of buildings in each zoom-level 11 map tile:

```sql

SELECT substr(quadkey, 1, 11) as z11_tile,

count(id) as number_of_buildings

FROM analysis_ready_daylight

WHERE tags[‘building’] IS NOT NULL AND release = ‘v1.12’

GROUP BY substr(quadkey, 1, 11)

```

In May 2022, running in AWS region us-east-1, this query took 15 seconds and cost just USD $0.10. The results of this query show the density of mapped buildings in OSM to be highest in Europe with additional areas of high density where Humanitarian mapping campaigns have been active such as Nepal, South Eastern Asia, and isolated parts of Africa. This is consistent with the findings of Herfort et al. [10].

How should these densities be interpreted? Do denser regions have higher levels of building completeness in which most or all buildings are mapped? Building density is an intrinsic data quality measure, to further contextualize these findings, we need to perform an extrinsic assessment by comparing our results against an external dataset. A recent study confirmed the viability of referencing population data for building density assessment [11]; and Orden et al. demonstrate a three-step methodology using Facebook’s High Resolution Settlement Layer (HRSL) first requiring both vectorization and spatial aggregation to assess building completeness with respect to population in both the Philippines and Madagascar [12].

Because the HRSL is also published via RODA [13], it can be easily joined to our results. Once HRSL data is incorporated to obtain a measure of buildings mapped per square kilometer per person, we find that parts of Europe remain in the top tiers of density with the most buildings mapped per person. Nepal and many parts of South Eastern Asia, however, are no longer in the same top tier of map coverage. While there are many mapped buildings, the higher populations of these regions reveals that there are still many areas where the buildings have yet to be mapped. This yields a generally lower level of completeness overall than initially identified, which remains consistent with the findings in [10]. Additionally, parts of the United States and New Zealand actually appear more complete with areas of lower density coinciding with regions of lower population, yielding a higher measure of map completeness than before.

This case study cheaply and easily reproduced popular methods for both intrinsic and extrinsic data quality assessments of OSM building coverage without needing to download nor pre-process any OSM data. The analysis was done completely in the cloud on AWS using free and open data in RODA. Additional metadata in ARD-OSM enabled the query to run efficiently and cost-effectively. The same methodology can be applied to investigations of any other object type in OSM from hospitals to ice cream shops. We also recognize that ARD-OSM does not solve the needs of researchers looking to work with OSM history data. Other tools such as the OpenStreetMap History Database are better suited for those types of historical analyses [14].

The release of OSM-based datasets, such as Nirandjan et al. [6], shows a desire for more researchers to use OSM data. While OSM data is freely and openly available, researchers must take many steps to download, transform, and ingest the data into an analysis workflow. To solve this, we have made ARD-OSM available in RODA. This analysis-ready dataset contains 1B features—nearly every OpenStreetMap object—in common geospatial feature types such as points, lines, and polygons. To additionally aid researchers, features are enriched with additional metadata describing their location and physical attributes such as length or surface area. From a data accessibility perspective, we anticipate ARD-OSM in future research and innovation, curated by a wide range of end-users, to readily integrate OSM data for decision-making processes which bring communities closer together.

about this event: https://2022.stateofthemap.org/sessions/JRN9DN/

The opening session of the Academic Track at the State of the Map 2022 conference.

about this event: https://2022.stateofthemap.org/sessions/RBZHX7/