Humanitarian mapping activations show increasing numbers of contribution. This blog post illustrates the specific potential of the Open Source OSHDB API [1] for detailed analyses of such activations by means of a case study. The examined area is Cox’s Bazar in Southeast Bangladesh, where almost 1 million Rohingya refugees fled to from Myanmar in [...]
Tag Archive 'Crowdsourcing'
Invited talk at the Spatial Data Science Symposium 2019, Santa Barbara
Posted in Events on Dec 7th, 2019
The Center for Spatial Studies, Department of Geography at the University of California, Santa Barbara is hosting the Spatial Data Science Symposium 2019 this coming week with the title
“Setting the Spatial Data Science Agenda”
Over 40 selected participants will gather to discuss the future of Spatial Data Science at this expert meeting. Instead of being [...]
MS Wissenschaft beendet Tour zur Künstlichen Intelligenz - aber weiter geht es im Web - auch mit unserem Exponat zu Trainingsdaten für Satellitenbilder
Posted in Events, Press release, Research on Oct 31st, 2019
Gerade beendete die MS Wissenschaft ihre Tour durch 31 Städte zwischen Berlin und Wien in diesem Wissenschaftsjahr zum Thema “Künstliche Intelligenz“.
85.000 Menschen – Schulklassen, Familien und Interessierte aller Altersklassen – besuchten die Ausstellung zum Thema lernende Computersysteme an Bord des Wissenschaftsschiffs.
Zu den Besonderheiten der Ausstellung zählten die zahlreiche Dialog- und Mitmachangebote an Bord.
Mit an Board [...]
In 2015, MapSwipe began as a solution to a complex question: how do we better identify where communities and populations are, allowing mapping to be more efficient and effective?
Using a simple mobile app, volunteers are able to swipe through a series of satellite images, tapping in areas where they find features. MapSwipe can be used [...]
Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning
Posted in Publications, Research, VGI Group on Jul 31st, 2019
Our new paper on Machine Learning and Humanitarian Mapping
Nowadays, Machine Learning and Deep Learning approaches are steadily gaining popularity within the humanitarian (mapping) community. New tools such as the ML Enabler or the rapId editor might change the way crowdsourced data is produced in the future. Hence, at the Heidelberg Institute for Geoinformation Technology and [...]
Exponat aus Heidelberg bietet Training für KI-Algorithmen auf der MS Wissenschaft
Posted in Events on Jul 18th, 2019
Mitmach-Exponate geben auf der MS Wissenschaft in Heidelberg vom 28. August bis 1. September Einblicke in die Entwicklung und Anwendung Künstlicher Intelligenz (KI). Mit auf dem zu einer schwimmenden Ausstellung umgebauten ehemalige Kohlefrachter ist auch ein Exponat des Heidelberg Institute for Geoinformation Technology (HeiGIT) an der Universität Heidelberg, gefördert von der Klaus Tschira Stiftung. Das [...]
19th-22nd of May, the 16th Information Systems for Crisis Response and Management (ISCRAM) conference is taking place in Valencia.
Likewise to previous years, the GIScience Research Group/HeiGIT are taking part and supporting with several contributions.
Martin Hilljegerdes will present a paper, based on his Master Thesis, focusing on “Evaluating the effects of consecutive hurricane hits on evacuation [...]
GIScience / HeiGIT at ICT for Development, Kampala - Usage and Analyses of OpenStreetMap for Development
Posted in Events on Apr 23rd, 2019
The 11th Information Communications Technology for Development (ICT4D) Conference brings together hundreds of public, private and civil society organizations, eager to share practical insights on applying digital technology to development, humanitarian, and conservation challenges. Participants share how they are using innovations in information and communications technology to increase impact in addressing humanitarian and development challenges. [...]
GSIS Special Issue on Crowdsourcing for Urban Geoinformatics has been published
Posted in Publications on Sep 24th, 2018
GSIS Special Issue: Crowdsourcing for Urban Geoinformatics.
Geo-Spatial Information Science (GSIS), Volume 23, Issue 3. Taylor & Francis.
Guest Editors:
Hongchao Fan, Rene Westerholt, João Porto de Albuquerque, Bernd Resch and Alexander Zipf
TOC:
Do people communicate about their whereabouts? Investigating the relation between user-generated text messages and Foursquare check-in places
Ming Li, Rene Westerholt & Alexander Zipf
Pages: 159-172
Abstract|Full Text|References|PDF (2905 KB)
Description and [...]
A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and land-cover monitoring
Posted in Publications, VGI Group on Jun 3rd, 2018
The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large [...]