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The GIScience group cordially invites everybody interested to our next open GIScience colloquium talk about:

Supporting the most vulnerable people before the disaster strikes – International Disaster Risk Reduction within the German Red Cross
Speakers are Stefanie Lux and Stefan Scholz from the German Red Cross (GRC, Generalsekretariat Berlin, International Coordination).
Monday 21.01.2019, 14:15 pm
Institute of Geography, Heidelberg University, [...]

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The GIScience Research Group at Heidelberg University and the Heidelberg Institute for Geoinformation Technology (HeiGIT) are happy to share the their GIScience github repository contains now already over 50 open source repositories and it’s still growing. These contain results from several research projects and in particular also some very active long term activities. Most of the tools [...]

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After the successful GeOnG conference 2018 in chambery we want to thank the organizers and all participants. We contributed in several ways, as already highlighed in our previous blogpost. Now, we also want to share our slides and workshop material with everyone interested.
Round table discussion:

Machine Learning, AI & satellite imagery: what impact on humanitarian mapping: [...]

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Over the next couple of days, CartONG are again organizing the biannual GeOnG conference- a great occasion for humanitarian actors, volunteer communities and humanitarian and GIS service providers to mingle and exchange current ideas, challenges and lessons learned.
This year the main theme is ““Perfection” versus “Good Enough” in Information Management: Adjusting to context, scale, [...]

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Our paper about Deep Learning from Multiple Crowds: A Case Study of Humanitarian Mapping is available online now.
Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep learning [...]

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Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep learning to solve humanitarian mapping tasks of a mobile software named MapSwipe. The current deep learning techniques [...]

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HeiGIT/GIScience and disastermappers heidelberg have been in contact and collaborating with MSF CZ  over the last years already and have been supporting their work through joined Mapathons as well as MapSwipe Mapathon support. Last week members of HeiGIT/GIScience and disastermappers heidelberg visited Prague to exchange ideas and experiences and discuss potential ways to take this [...]

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Last weekend Heidelberg was the host city of this semesters geography “BuFaTa” (Bundesfachschaftentagung). During this four day event student associations from Germany, Austria and Switzerland and their members came together to discuss, learn and spend time together. The event was organized by an excellent student team from Heidelberg.
The disastermappers Heidelberg contributed to the BuFaTa by organising a Missing [...]

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Among semi-automated methods and pre-processed data products, crowdsourcing is another tool which can help to collect information on human settlements and complement existing data, yet it’s accuracy is debated. Whereas the potential of crowdsourced datasets for training of machine learning algorithms has been explored recently, only few work has been done towards utilizing machine learning [...]

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Dear Students, Mappers and Employees,
we would like to invite you to the first mapathon, mapping party, mapswipeathon of this semester, which will be focusing on Nepal. (Just in time with the upcoming talk at the HGG on tuesday.) :D
When? 07.05.2018, 6 pm
Where? Geographisches Institut, Berliner Straße 48
Our mapathon is organized in collaboration with the Kathmandu [...]

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