2015 CHALLENGE WORKSHOP
Big Data: Mathematical Data Analysis of Complex Structures
The sixth Challenge Workshop focused on the ubiquitous and vague term „Big Data“, summarizing problems of data collection, evaluation, storage and transmission for numerous technical, economic and medical applications. It took place at the Print Media Academy in Heidelberg on March 3-4, 2015.
Challenges
The field of “Big Data” faces several challenges related to collecting, evaluating, storing, and transmitting large and complex datasets across various technical, economic, and medical applications. One major difficulty is applying advanced mathematical methods to analyze complex structures, such as forecast models, hyperspectral data, and microstructures. Bridging the gap between industry and academia adds another layer of challenge, as effective communication is needed to understand emerging problems and develop practical solutions. Overall, the complexity and diversity of Big Data require ongoing collaboration and innovation to tackle these issues successfully.
Input Speaker
- Stephan Müller (Roche Innovation Center Basel)
- Hans-Georg Zimmermann (Siemens AG)
- Thomas Schuster (Universität des Saarlandes)
- Claudia Redenbach (Universität Kaiserslautern)
- Roland Potthast (Deutscher Wetterdienst)
- Theodore Alexandrov (EMBL, Heidelberg)
- Reiner Brings (HORIBA Jobin Yvon GmbH)
- Martin Burger (Universität Münster)
- Oliver Wirjadi (Fraunhofer ITWM)
- Andreas Schuppert (RWTH Aachen/ Bayer AG)
