A broad and constantly growing data pool is nowadays available in the geosciences to investigate System Earth. This comprises measurement data gathered with powerful sensor networks and satellites, data from experiments and geoarchives (e. g. core sample) as well as data generated by simulation models. Bringing together relevant data from different sources and the analysis of large, multidimensional and partly uncertain data is challenging.
The research of the Section Geoinformatics aims at these challenges. On the interface between computer science and the geosciences, we develop methods and tools to support geoscientists in the analysis of manifold data. We tailor methods from data mining to spatio-temporal data and geoscientific requirements and develop visual analytics concepts that combine interactive visual data exploration with automated data analysis.
With our research, we support geoscientists in answering numerous questions. Examples in this regard are: Which relevant spatio-temporal patterns are contained in data from simulation models? How are results of simulation models and observed data correlated? How can information provided by the public over the internet be used to improve rapid damage assessment caused by natural disasters?
2018: The Canadian German Chamber of Industry & Commerce (CGCIC) invites Dr. Mike Sips as speaker for a conference on the topic of Big Data, Artificial Intelligence & Cybersecurity in Ottawa, Canada. The speakers should share their ideas, experiences and visions from a German perspective. The Canadian attendees of the conference are targeted to 100 experts. The conference is complemented by a one week long program to hereby visit companies, start-ups, universities, incubators, government institutions and other relevant institutions, which are active in the area of big data & cybersecurity. This conference is part of the Transatlantic Dialogue, an initiative called into life by the Federal Ministry for Economic Affairs and Energy of Germany and the CGCIC.
2017: Patrick Köthur receives audience award "best presentation" for his article on 'Visual Analytics for Detection and Assessment of Process-Related Patterns in Geoscientific Spatiotemporal Data'. The award was bestowed as part of the event 'GI-Runde 2017 des Runden Tisches GIS e.V.' at the University of Munich.
2016: Our big data project GeoMultiSens has been selected for the Bitkom, Smart Data Forum, and Germany Trade & Invest report “Germany – Excellence in Big Data” . The report presents the research focuses on more than 30 scientific organizations, and projects, products and strategies technology vendors to an international audience.
2014: Prof. Dr. Doris Dransch was delegated from the German Research Foundation DFG, and the Ministry for Education and Research BMBF to the international working group „Scientific e-Infrastructure and Data Management" of the Belmont Forum. The Belmont Forum is a group of 14 of the world’s major funders of global environmental change research and international science councils (e.g. the Council for Science).
2013: Best Paper selection. Our paper "Lee, S.; Sips, M.; Seidel, H.-P.: "Perceptually-Driven Visibility Optimization for Categorical Data Visualization" was chosen from the editor of the journal TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS as one of the four best papers in 2013 and proposed for presentation at he international conference IEEE Visualization 2013.
2012: Top 10 paper at IEEE VAST Conference on Visiual Analytics Science and Technology. Mike Sips, Patrick Köthur, Andrea Unger, Hans-Christian Hege, Doris Dransch, “A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series”. In: IEEE Transactions on Visualization and Computer Graphics, Volume 18, Issue 12, 2012
2011: Editor’s Choice 2011 des International Journal of Digital Earth. Doris Dransch, Henry Rotzoll und Kathrin Poser, “The contribution of maps to the challenges of risk communication to the public”, International Journal of Digital Earth, Volume 3, Issue 3, 2010
2010: Best Poster. Sören Haubrock, „Informationsintegration für den Notfall. Konzepte & Anwendungen für das Risikomanagement von Naturgefahren“, 10th Forum Katastrophenvorsorge
2008: Frau Prof. Dr. Doris Dransch has been elected as Chair of Scientific Advisory Board of Austrian Academy of Science (ÖAW), Research Unit Geographic Information Science.