Location & approach

via car

The campus of TU Dortmund University is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits. It is best to park in the large parking lot on Otto-Hahn-Straße.

via train and bus

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen, and Duisburg. In addition, the university can be reached by bus lines 445, 447, and 462. Timetable information can be found on the homepage of the Verkehrsverbund Rhein-Ruhr, and DSW21 also offer an interactive route network map.

via H-Bahn

One of the landmarks of the TU Dortmund University is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

via airplane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund Central Station and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

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Contrast Deutsch

Location & approach

via car

The campus of TU Dortmund University is located near the freeway junction Dortmund West, where the Sauerland line A45 crosses the Ruhr expressway B1/A40. The Dortmund-Eichlinghofen exit on the A45 leads to the South Campus, the Dortmund-Dorstfeld exit on the A40 leads to the North Campus. The university is signposted at both exits. It is best to park in the large parking lot on Otto-Hahn-Straße.

via train and bus

The "Dortmund Universität" S-Bahn station is located directly on the North Campus. From there, the S-Bahn line S1 runs every 15 or 30 minutes to Dortmund main station and in the opposite direction to Düsseldorf main station via Bochum, Essen, and Duisburg. In addition, the university can be reached by bus lines 445, 447, and 462. Timetable information can be found on the homepage of the Verkehrsverbund Rhein-Ruhr, and DSW21 also offer an interactive route network map.

via H-Bahn

One of the landmarks of the TU Dortmund University is the H-Bahn. Line 1 runs every 10 minutes between Dortmund Eichlinghofen and the Technology Center via Campus South and Dortmund University S, while Line 2 commutes every 5 minutes between Campus North and Campus South. It covers this distance in two minutes.

via airplane

From Dortmund Airport, the AirportExpress takes just over 20 minutes to Dortmund Central Station and from there to the university by S-Bahn. A wider range of international flight connections is offered by Düsseldorf Airport, about 60 kilometers away, which can be reached directly by S-Bahn from the university's train station.

ServicePortal UniMail

Enterprise Computing

AI Algorithms for Decision-Making in Businesses and Organizations

Profile

Call: Scientific networks
Project management: Prof. Dr. Stefan Feuerriegel
Project participants: LMU Munich, University of Mannheim, Rotterdam School of Management, TU Munich, TU Dortmund University, FAU Erlangen-Nuremberg, University of Bayreuth, Humboldt-Universität zu Berlin, appliedAI Initiative GmbH, University of Paderborn, KU Leuven, KIT
Project start: 01.01.2024
Project end: 31.12.2026
Funding volume: ~45,000 Euro
Funding source: Deutsche Forschungsgemeinschaft (DFG)

Summary of the project

The central topic of the scientific network "AI Algorithms for Decision-Making in Businesses and Organizations" is around developing, implementing, and evaluating new AI technologies to support decision-making in businesses and organizations. As such, a distinguishing element are innovative algorithms from the area of AI (e.g., explainable AI, generative AI, foundation models, probabilistic ML, causal ML, etc.) that allow for new insights in practice and, on top of that, hold great potential to inform and improve decision-making. In particular, the network is planned as an interdisciplinary initiative that pools and exchanges innovative AI technologies from various sub-fields of business research (e.g., marketing, operations) through an integrated format.

Deutsche Forschungsgemeinschaft