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.
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.
Company Details
- Founded
- -
- Address
- August-Schmidt Straße 1, Dortmund,north Rhine-Westphalia 44227,germany
- Industry
- Higher Education
- NAICS
-
Colleges, Universities, and Professional Schools
- Website
- https://trr391.tu-dortmund.de/
- Keywords
- Port Chester.
- HQ
- Dortmund, North Rhine-Westphalia
Trr 391 Questions
Trr 391's website is https://trr391.tu-dortmund.de/
Trr 391's LinkedIn profile is https://de.linkedin.com/company/trr-391
Trr 391's industry is
Higher Education
Trr 391's top competitors are
Iclr,
Dreamvu Inc.,
Gruppometa,
Casixty (Yc W25),
Institute Of Control Systems @ Tuhh,
Fakultät Statistik | Tu Dortmund,
Synsense,
Satim,
Institut De Mathématiques De Bordeaux,
Omni-Biotic (Allergosan Usa).
Trr 391's categories are Higher Education
Trr 391's founding year is 2024
