Sonderforschungsbereich (SFB) Transregio 391
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This Collaborative Research Center/Transregio is funded by the DFG (Deutsche Forschungsgemeinschaft) and the time period of the first phase is 10/2024 - 06/2028.
It is a joint project of TU Dortmund University and Ruhr University Bochum. Further participating institutions are Fachhochschule Dortmund, Hamburg University of Technology, Karlsruhe Institute of Technology, University of Duisburg-Essen, University of Hamburg, University of Münster, and RWI Leibniz Institute for Economic Research Essen.
In TRR 391, we model, estimate, and predict spatio-temporal processes occurring in economic and technical applications. In doing so, we exploit the formal similarity of relevant statistical problems for methodological synergies and develop key techniques for the analysis of spatio-temporal data, which will enable efficient data-based decision-making in various areas of implementing the energy and transport transition over the next decades.
It is a joint project of TU Dortmund University and Ruhr University Bochum. Further participating institutions are Fachhochschule Dortmund, Hamburg University of Technology, Karlsruhe Institute of Technology, University of Duisburg-Essen, University of Hamburg, University of Münster, and RWI Leibniz Institute for Economic Research Essen.
Vision
TRR 391 is about to establish an internationally leading research center in the Ruhr Area for the development of statistical methodology that can process all types of spatio-temporal data from energy production and distribution, as well as transport of people and goods.In TRR 391, we model, estimate, and predict spatio-temporal processes occurring in economic and technical applications. In doing so, we exploit the formal similarity of relevant statistical problems for methodological synergies and develop key techniques for the analysis of spatio-temporal data, which will enable efficient data-based decision-making in various areas of implementing the energy and transport transition over the next decades.