Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B1 / A40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dortmund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

By train and bus

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

The H-Bahn

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

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Contrast Deutsch

Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B1 / A40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dortmund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

By train and bus

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

The H-Bahn

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

ServicePortal UniMail

Doctoral Student

M.Sc. Kai-Robin Lange

Contact

TU Dortmund University
Department of Statistics
Chair of Business- and Social Statistics
CDI Building, Room 4
44221 Dortmund
Germany

E-Mail: kalangestatistik.tu-dortmundde
Phone: +49 231 755 5477

Portrait photo of Kai-Robin Lange

Short CV

since November 2021: Doctoral Student at the Chair of Buisness and Social Statistics
2020-2021: Research Assistant at the Chair of Buisness and Social Statistics
2019-2021: M.Sc. Statistics with minor in Computer Science, TU Dortmund University
Master Thesis: Resampling strategies for unsupervised sentiment analysis using lexicon-based text embedding methods
2016-2019: B.Sc. Statistics with minor in Computer Science, TU Dortmund University

Research Interests

Research in Text Mining
- Content analysis of political debates, speeches and documents
- Evaluation of embedding-based methods
- Extraction of events and narratives in text corpora
Additional methodical interests
- Resampling procedures
- Boosting
- Causal inference

Software

lex2sent [pypi][github]
speakger [github][BERD]

Publications

ORCiD, Google Scholar

Lange, K.-R., Jentsch, C. (2023). SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. Proceedings of the 3rd Workshop on Computational Linguistics for Political Text Analysis. Poster. pdf. download.
Lange, K.-R., Rieger, J., Benner, N. and Jentsch, C. (2022). Zeitenwenden: Detecting changes in the German political discourse. Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis, 47-53. pdf. GitHub.
Rieger, J., Lange, K.-R., Flossdorf, J. and Jentsch, C. (2022). Dynamic change detection in topics based on rolling LDAs. Proceedings of the Text2Story'22 Workshop. CEUR-WS 3117, 5-13. pdf. GitHub.

Pre-prints and Working paper

Lange, K.-R., Rieger, J. and Jentsch, C. (2022). Lex2Sent: A bagging approach to unsupervised sentiment analysis. arXiv. DOI. GitHub.
Lange, K.-R., Reccius, M., Schmidt, T., Müller, H., Roos, M., and Jentsch, C. (2022). Towards extracting collective economic narratives from texts. Ruhr Economic Papers #963. Link
Benner, N., Lange, K.-R., and Jentsch, C. (2022). Named Entity Narratives. Ruhr Economic Papers #962. Link

Talks

"Identifying economic narratives in large text corpora" Sixth International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT) 2024. Amsterdam, Niederlande (05/2024).
"SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments". CPSS Workshop @KONVENS 2023. Potsdam, Germany (09/2023).
"Roll2Vec: updating diachronic embeddings with a rolling window". Statistische Woche 2023. Dortmund, Germany (09/2023).
"Zeitenwenden: Detecting changes in the German political discourse". CPSS Workshop @KONVENS 2022. Potsdam, Germany (09/2022).

Teaching

Seminar: Advanced Text Mining Methods (SuSe 2024)
Natural Language Processing (WiSe 2023/24)
Seminar: Advanced Text Mining Methods (WiSe 2022/23)
Asymptotic Theory (WiSe 2022/23)
Text as Data (WiSe 2022/23)
Entscheidungstheorie (SuSe 2022)
Asymptotic Theory (WiSe 2021/22)