Forschungsprojekt

WeGovNow – Towards We-Government: Collective and participative approaches for address local policy challenges

Osmatrix

WeGovNow is a European Commission funded project aiming at using state-of-the-art digital technologies in community engagement platforms to engage citizens in decision making processes within their local neighbourhood. It aims at bringing together multiple citizen-driven systems into a single platform which will allows people to:

  • Report, suggest and discuss improvements to their local area
  • explore ways to fix problems through collective action
  • find solutions for resource shortages affecting the quality of publicly provided services
  • debate topics of a strategic nature
  • develop and vote upon concrete suggestions for local policy action

Underlying this platform is the use of VGI and PSI datasets and the accommodation of different user perspectives and experience. Therefore, it is important to address aspects such as the quality of the data used and the best methods for conveying this quality information to the different end users.

At GIScience in Heidelberg, the focus of the research will be on:

  • Methods for deriving quality metrics for VGI and PSI data to enable the determination of fitness-for-use
  • Identify and implement suitable methods for portraying data quality information to different types of users
  • Derive techniques for importing PSI data into the WeGovNow platform (and OSM where applicable) including the georeferencing of data lacking geographic coordinates.

This is a 3 year project funded through the European Commission Horizon 2020 call.

News
17.12.2018 17:32
Spatial conceptual compliance analysis with the OpenStreetMap History Database (OSHDB)

In a previous blog post we performed a conceptual compliance analysis between OSM data and several tagging-guidelines using the OSHDB API. The results were visualized in a line chart, comparing the different compliance ratio over several months. The following analysis focuses on a spatial representation of the conceptual compliance. It is [...]

10.10.2018 14:57
Explore the ohsome OSM History of whole Germany

Our new ohsome dashboard is another preview on what is and will be possible with our ohsome OpenStreetMap history analytics platform. Behind the scenes, we added support for the Apache Ignite big data framework and deployed an instance using the full OSM history data of whole Germany on Heidelberg University’s cloud computing infrastructure heiCLOUD. Apache Ignite is an open-source [...]

16.08.2018 09:57
OpenStreetMap Analytics Development for OpenCities Africa

Recently a consultancy and development agreement about OpenStreetMap Analytics Development has been reached with the World Bank in the context of the Open Cities Africa project and the Global Facility for Disaster Reduction and Recovery (GFDRR) Open Data for Resilience Initiative (OpenDRI). The main objective of this consultancy is to develop and implement new functionalities for OpenStreetMap [...]

23.04.2018 22:18
A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information

The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non‐experts. In a recently published work, we propose a taxonomy of methods for assessing the quality of CGI when no [...]

27.01.2018 14:53
ECSA Webinar on #citizenscience for monitoring urban landscape dynamics with GIScience Heidelberg

Join the next ECSA webinar on “Citizen Science for monitoring urban landscape dynamics”! The European Citizen Science Association (ECSA) will host a webinar on the topic of “Citizen Science for monitoring urban landscape dynamics”. The webinar will include two talks: Assessing urban green space in Vienna (by Gebhard Banko and Barbara Birli from the Austrian Environmental [...]

10.08.2017 08:56
HeiGIT/GIScience Heidelberg partnership with Humanitarian OpenStreetMap Team (HOT)

We are happy to hereby announce the official partnership of the HeiGIT/GIScience Research Group Heidelberg and the Humanitarian OpenStreetMap Team (HOT)! The GIScience Research Group at Heidelberg University has been supporting the use of OpenStreetMap for humanitarian and disaster management purposes already since 2008 when the first instance of the Disaster and Emergency OpenRouteService was developed [...]

28.06.2017 13:04
Are Crowdsourced Datasets Suitable for Specialized Routing Services? Case Study of OpenStreetMap for Routing of People with Limited Mobility

Using data generated from the crowd has become a hot topic for several application domains including transportation. However, there are concerns regarding the quality of such datasets. As one of the most important crowdsourced mapping platforms, in a recent study (1) we analyze the fitness for use of OpenStreetMap (OSM) database for routing and navigation [...]

31.05.2017 11:47
Overview Article on Online Participation in Geoinformation Technology, esp. OpenStreetMap

An invited introductive overview article on “Online Participation in Geoinformation Technology” with a specific focus on OpenStreetMap has been published in the special issue “Online Participation” of the German language journal “Praxis der Wirtschaftsinformatik”. It gives some introduction and selected examples of potential usages of OSM data. Griesbaum, L., Eckle, M., Herfort, B., Raifer, M., Zipf, [...]

17.05.2017 09:04
Paper on OSMlanduse.org at AGIT

The programme of the AGIT Symposium 2017 in Salzburg is online now and it includes a first paper about the work at GIScience Heidelberg on OSMlanduse.org. It will be presented 6 July in the afternoon at AGIT Salzburg. The talk is entitled “OSMLanduse Version 1″ while the full titel of the paper is: Voß, J., M. Auer, [...]

23.03.2017 23:39
Towards evaluating the mobile crowdsourcing of geographic information about human settlements

Geographic information crowdsourcing is an increasingly popular approach to derive geographic data about human settlements from remotely sensed imagery. However, crowdsourcing approaches are frequently associated with uncertainty about the quality of the information produced. Although previous studies have found acceptable quality of crowdsourced information in some application domains, there is still lack of research about [...]

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