Author: GIScience HD
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HeiGIT goes CeBIT – Smart Geo Services for Smart Cities
Together with Heidelberg Mobil International (HDMI) our new Heidelberg Institute for Geoinformation Technology (HeiGIT) will be represented at the CeBIT in Hannover within the Smart City Forum this month from the 20-24th of March. In this context we will be focusing on transportation and navigation as an example which must meet a wide range of…
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disastermappers heidelberg contribute to Opening of “Open Knowledge Lab” Heidelberg / Rhein-Neckar
Die Zeit ist gekommen die Zukunft einer offenen digitalen Gesellschaft umzusetzen. Uns stehen modernste Technologien und komplexe soziale Netzwerkre zur Verfügung, um Daten, Informationen und Wissen weit zu verbreiten und mit allen zu teilen. Jetzt geht es darum in konkreten gemeinsamen Projekten zu zeigen, dass Offenheit und Transparenz unser Zusammenleben verbessern und Demokratie beleben. Denn…
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Reminder Deadline for Open Position: Innovation Management Geoinformation Technology
Stellenausschreibung Research & Innovation Manager Geoinformation Technology Zur Förderung von Technologietransfer und angewandter Forschung im Bereich Geoinformatik wird derzeit mit Grundförderung der Klaus-Tschira Stiftung Heidelberg das Heidelberg Institute for Geoinformation Technology (HeiGIT) aufgebaut. Dies soll zukünftig als An-Institut weitergeführt werden. http://HeiGIT.org Hierfür wird ein Research & Innovation Manager Geoinformation Technology gesucht (100%). Die Aufgaben beinhalten insbesondere: Strategische Konzeption…
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Completeness of Citizen Science Biodiversity Data from a Volunteered Geographic Information Perspective
Observations of living organisms by citizen scientists that are reported to online portals are a valuable source of information. They are also a special kind of volunteered geographic information (VGI). VGI data have issues of completeness, which arise from biases caused by the opportunistic nature of the data collection process. We examined the completeness of…
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3rd CFP: Journal Special Issue “VGI Analytics” in Geo-Spatial Information Science and AGILE workshop
VGI-Analytics 2017 Volunteered Geographic Information (VGI) and social media data have become part of our everyday lives over the past few years. Whereas in the early beginnings of crowd-sourced data the collection occurred primarily to isolated, individual platforms, contribution patterns are now beginning to be more intertwined between different platforms, both at the application level…
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Crazy Times in Heidelberg
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Prize of “Runder Tisch GIS” for GIScience Master Thesis on Geospatial Analysis of the German Software Industry (Jan Kinne, Heidelberg)
The Master Thesis of Jan Kinne on the subject: “The Geographic Dispersal of the German Software Industry – Geospatial Analysis and Location Pattern Modeling” won the price “Nachwuchsförderpreis Geoinformatik 2017” of the “Runde Tisch GIS e.V.” in the category ‘Master Thesis’ with a value of 1.500 Euro. In addition Jan did also win the audience…
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Two talks on Tsunami Modeling ended GIScience Colloquium WS16/17
the GIScience Heidelberg colloquium series winter semester 2016/17 finished last week with even two presentations about Modeling Tsunami based risks and exposure. We were happy to hear first an overview from Andreas Schäfer vom KIT’s CEDIM about his PhD on Developing a Global Tsunami Risk Model. Thanks for our partners in the HeiKA CrowdFDA project…
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OSMlanduse.org is featured image of the week in this weeks OSM Wiki
Recently we introduced the website OSMlanduse.org . This week it is featured as “Image of the Week” in the OSM Wiki. Thanks a lot for the recognition! It is already the second OSM Wiki image of the week from GIScience Heidelberg in this short year,as in week 4 OSMvis from our group member Franz-Benjamin was…
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Supporting the UN Sustainable Development Goals through Geographic Information – First United Nations World Data Forum
Last month GIScience Heidelberg (Prof. Zipf) participated in the First United Nations World Data Forum. This was a high level event including many organisations that generate and analyse data related to achieving the UN Sustainable Development Goals of the UN 2030 Agenda for Sustainable Development. For this we need a huge amount of data about…