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Tag Archive 'HEiKA'

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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Melanie Eckle and Benjamin Herfort represented the GIScience Research Group at the 5th Japanese-German University Presidents’ Conference that was held on 29th and 30th of September in Karlsruhe. The German-Japanese University Consortium HeKKSaGOn was founded in July 2010 as an association of three German (Heidelberg, Karlsruhe, Göttingen) and three Japanese (Kyoto, Sendai, Osaka) universities.
We presented [...]

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Workshop:
Kulturerbe: Erfassbar – Sichtbar – Erfahrbar
Ergebnisse und Erfahrungen aus Forschungsprojekten zur Sicht- und Erfahrbarmachung von Kulturerbe
1. Dezember 2015
09:30-15:00 Uhr
ZAK | Zentrum für Angewandte Kulturwissenschaft und Studium Generale
Rüppurrer Str. 1a, Haus B
76137 Karlsruhe
Zur Anmeldung
Flyer (PDF, ca. 1MB)
Programm

9:30-9:45
Get Together

9:45-9:55
Prof. Dr. Caroline Y. Robertson-von Trotha: Begrüßung

9:55-10:10
Dr. Andreas Hensen: Archäologische Fragestellung – Jupiter-Gigantensäule in Ladenburg

10:15-10:45
Dr. Armin Volkmann: Forschungen der [...]

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Within our interdisciplinary collaborative research project MUSIEKE (Multidimensional Perceptibility of Cultural Heritage) the Jupiter Column (”Iupittergigantensäule”) of Ladenburg was scanned in 3D and in very high detail for the first time. Our colleagues from the IWR (FCGL Group of Hubert Mara) performed the measurement campaign.
In this report (in German) the SWR 4 radio [...]

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The newly funded multidisciplinary research project MUSIEKE investigates the perceptibility and visibility of cultural heritage in multiple dimensions in urban, landscape, museum and virtual spaces. Three-dimensional (3D) data acquisition, processing, modeling and web-based visualization & analysis will provide fundamental input to the derivation and explanation of complex causal relationships of [...]

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