Category: VGI Group
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Healthsites and HeiGIT establish partnership
The Global Healthsites Mapping Project (Healthsites) and the Heidelberg Institute for Geoinformation Technology/ GIScience Research Group are happy to announce the now also formal cooperation. Last week, HeiGIT/ GISciences signed the Healthsites Memorandum of Understanding (MoU) to strengthen their strategic partnership with the main aim to support the analyses, sharing and use of baseline OpenStreetMap…
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5 Years Missing Maps- Achievements and future work and how to visualize the Missing Maps impact using ohsome
Happy Birthday Missing Maps! On the occasion of the recently launched Missing Maps 5 Years Birthday Blog, that also highlighted our latest Missing Maps related HeiGIT and ohsome projects, we put together an overview of our years with and within the Missing Maps. November 2014 the Missing Maps project was launched by the British and…
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HeiGIT at International Dialogue Platform on Anticipatory Action
Next week, November 12-14th, the 7th International Dialogue Platform on Anticipatory Action is taking place in Berlin. The platform is organized by the German Red Cross (GRC), World Food Program, German Humanitarian Assistance, International Federation of Red Cross and Red Crescent Societies (IFRC) and the Climate Center of Red Cross and Red Crescent and brings…
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New DFG project: IdealVGI – Deep Learning with OSM
Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin. IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from…
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Viele Daten- Welcher Nutzen? HeiGIT Workshop mit BBK und DLR bei der Fachtagung Katastrophenvorsorge 2019
Am 28. und 29. Oktober findet in Berlin die jährliche Fachtagung Katastrophenvorsorge statt. In diesem Rahmen treffen sich erneut Expertinnen und Experten aus dem (inter) nationalen Katastrophenmanagement um sich zu neuesten Entwicklungen, Ideen und auch Herausforderungen in der Katastrophenvorsorge auszutauschen- zur Umsetzung des Sendai Rahmenwerks in Deutschland. Wie im vorherigen Jahr, wird auch HeiGIT die…
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HeiGIT support for Humanitarian Village and Mapathon at Humanitarian Congress in Berlin 2019
On October 17/18th the Humanitarian Congress is organized in Berlin by Médecins Sans Frontières/Ärzte ohne Grenzen (MSF), Médecins du Monde/Doctors of the World (MdM), German Red Cross (GRC) and Berlin Chamber of Physicians. For more than 20 years, this congress brings together actors from the medical and humanitarian, governmental, media, and research world. These come together…
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Brownbag Presentation by Jennings Anderson (University of Colorado Boulder) on OpenStreetMap data analysis
We cordially invite you to a Brownbag presentation by our Guest Researcher Dr. Jennings Anderson! When? Tuesday, 8/10/2019, 1-2.30 pm Where? Seminar room 15, INF 348 Jennings is a postdoctoral researcher at the University of Colorado Boulder exploring new approaches to analytical infrastructures for big, peer-produced geospatial datasets, specifically OpenStreetMap. His dissertation work involved designing…
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HeiGIT beim Tag der offenen Tür beim Auswärtigen Amt
Am 16. und 17. August öffnet das Auswärtige Amt in Berlin die Tore für die Öffentlichkeit. An diesen Tagen kann nicht nur das Auswärtige Amt selbst besichtigt werden, verschiedene Diplomaten, Vertreter verschiedener Ministerien, Einrichtungen und Organisationen werden vor Ort sein, um aktuelle Projekte und Ideen vorzustellen. In diesem Rahmen wird es auch einen „Humanitären Raum“…
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Mapping Human Settlements with Higher Accuracy and Less Volunteer Efforts by Combining Crowdsourcing and Deep Learning
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…
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Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks
Recently a new paper about Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks (DNNs) has been presented at the AGILE GIScience conference 2019 in Cyprus. Although built-up areas cover only a small proportion of the earth’s surface, these areas are closely tied to most of the world’s population and the economic output, which makes…
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The Triangle of Shared Data Sources
Todays data production, maintenance, and use have changed in the last years. While these tasks were reserved to professionals until a few years ago, the situation has changed. This is no different in the geographical domain. Volunteers gather general information in Wikipedia and geographical information in OpenStreetMap. Twitter users provide not only text snippets but…
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Successfull PhD Defence by Clemens Jacobs on Plausibility Estimation of Citizen Science Observations for Biodiversity
Last week Dr. Clemens Jacobs successfully defended his PhD about methods for assessing the data quality of citizen science observations of organisms. Congratulations, well done!!! We wish all the very best for the future! The research aimed at using geographic context as an information source for estimating the plausibility of an observation, e.g., of a bird,…