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Tag Archive 'Crowdsourcing'

Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and pedestrians. Strava Metro data has the potential to promote studies of cycling and health by indicating where [...]

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The MapSwipe App is widely used by many volunteers who donate their time and brain capacity to find buildings or roads on satellite imagery. Just recently we counted the 10,000,000th contribution! After only 6 months since MapSwipe was launched!
The outcome of these efforts are mainly used by humanitarian organisations like MSF, Netherlands Red Cross or [...]

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Last week saw the Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer 2017) at the 15th IEEE International Conference on Pervasive Computing and Communications. Here you find some impressions from the event. Alexander Zipf participated as invited panelist at the panel session of CASPer 2017. The panel discusses processing unstructured Big Data and [...]

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Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information for different domains. Despite advantages associated with it, such information lacks quality assurance, since it is provided by different individuals. Several authors have investigated different approaches to assess CGI quality. Some of the existing methods have been summarized in different classification schemas. [...]

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Crowd assisted sensing and crowdsourcing, as well as their underlying pervasive systems and communications are a fast growing research area and one of the enabling technologies of smart cities and smart infrastructures, as well as important building blocks in healthcare monitoring and vehicular technologies. Crowd assisted sensing (often called participatory sensing) opens new ways for [...]

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The Special Issue on “Crowdsourced Mapping” of the international journal “Cartography and Geographic Information Science” is online. Here you can read the editorial.
Further this issue includes our paper on Deriving incline values for street networks from voluntarily collected GPS traces. When producing optimal routes through an environment, considering the incline of surfaces can be of [...]

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We cordially invite all interested to our forthcoming talk in the GIScience colloquium next Monday, January 09, about modelling human activity patterns in cities using crowdsourcing and geosocial media data. Dr. Wei Huang presents a novel approach which considers motivation for human activities and makes it possible to take activity change into account.
Modelling Intra-urban Human Activity [...]

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Within the 3D-MAPP project we currently developed a workflow and a web based tool, that allow volunteers (and experts) to classiffy 3D point clouds in just a few seconds. The approach combines the point cloud interpretation skills of humans and the scalability of crowdsourcing. Furthermore, crowdsourced geographic information can be of high value to automated [...]

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This week the Kick-Off Meeting of a recently started collaboarative project on “Crowdsourcing for Forensic Disaster Analysis” (CrowdFDA) took place at GIScience Heidelberg University together with partners from the Geophysical Institute of Karlsruhe Institute of Technology (KIT) (Dr. Bijan Khazai) as member in the Center for Disaster Management and Risk Reduction Technology (CEDIM, KIT) [...]

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Last week members of GIScience Heidelberg from the TP4 of the Project Urban Office at Heidelberg University participated in a transdisciplinary two days workshop at Heidelberg University together with urban planners, urban geographers, architects and researchers from the social sciences as well as practitioners discussing the current state and future steps in the Reallabor Urban [...]

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