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Monthly Archive for December, 2017

Graduate Celebration 2017

We are very proud of our graduates 2016/2017 of Bachelor and Master of Science in Geography, and also School Education (Lehramt). On 1 December 2017, we celebrated together in the venue of the Neue Aula of the Heidelberg University. Prof. Hans Gebhardt gave an impressive talk about the essence of long student field trips (Große [...]

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disastermappers heidelberg are organizing another workshop related to the use of OpenStreetMap data:
However, this time we would like to spend our time crafting our own and personal OSM data based christmas presents. Together we will create posters, postcards and everything you need to imprint a T-shirt.
When: 06.12.2017, 6 pm
Where: PC-Pool, Berliner Straße [...]

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Final CALL FOR PAPERS: ISCRAM has extended the Deadline to December 10
15th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2018)
May 20-23, 2018, Rochester, NY, USA
https://iscram2018.rit.edu/submissions
Track: Geospatial Technologies and Geographic Information Science for Crisis Management (GIS)
https://iscram2018.rit.edu/sites/rit.edu.iscram2018/files/docs/ISCRAM_2018_track_GIS.pdf
Deadline for paper submissions: December 10, 2017
Track Description
With disasters and disaster management being an “inherently spatial” problem, [...]

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Software Engineer OSM Routing Services, Backend & Algorithms
Heidelberg Institute for Geoinformation Technology (HeiGIT)

You genuinely enjoy developing open source Geoinformation Services used by thousands on a daily basis? You are a highly motivated Java Backend Developer? And you love using and enhancing OpenStreetMap for high-performance services for global coverage? Then we actually might have a [...]

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This week the 11th Workshop on Geographic Information Retrieval (GIR’17) will be held at Mathematikon, Heidelberg University, Germany. This workshop will address all aspects of Geographic Information Retrieval - such as the provision of methods to identify geographic scope, retrieve and relevance rank documents or other resources from both unstructured and partially structured collections on [...]

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