What's new at the Mannheim Center for Data Science?

Discover the latest updates from the Mannheim Center for Data Science. Here, we share reports on events we have attended or hosted and announce upcoming events. In the interview series “Data Science Insights,” we introduce a researcher from the University of Mannheim in the field of data science each month and highlight exciting scientific projects.

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Credit: MZES

Workshop: Computational Social Science – AI and Society: Exploring Inequality in the Digital Age

Together with the Mannheim Center for European Social Research (MZES), the MCDS is organizing a workshop at the University of Mannheim in May 2025.

DataFest Germany, 28–30 March 2025

DataFest Germany 2025 will take place at LMU Munich!

Workshop on Reinforcement Learning 2025, 7 February 2025

Don't miss the second mini-Workshop on Reinforcement Learning (RL) in Mannheim. The workshop will be held on February 7th 2025 to gather enthusiasts in the field of theory of Reinforcement Learning (RL). In a relaxed athmosphere experts and beginners have the opportunity to exchange insights on ...

Zu sehen ist eine Collage mit Fotos der Aktivitäten des Centers im Jahr 2024. In der Mitte steht die Jahreszahl 2024.

Credit: Lea Oberländer

Year in Review 2024 – A Remarkable Year for the Mannheim Center for Data Science

The year 2024 was marked by exciting events, inspiring lectures, and successful initiatives at the Mannheim Center for Data Science (MCDS). With a focus on advancing research, teaching, and networking in this crucial field, the MCDS reflects on a dynamic year characterized by engagement, innovation, ...

Margret Keuper steht vor der Leinwand während Ihres Vortrags.

Credit: Lea Oberländer

Academic Speed Dating in the fall semester 2024: Networking research across disciplines

The Academic Speed Dating in the fall semester 2024 brought together around 25 participants for an inspiring afternoon of networking, learning and collaboration at Mannheim Palace on November 7. The event was the latest edition of the popular series, which has become an integral part of the research ...

Lea Oberländer steht neben einer Stellwand, auf der das Poster des MCDS hängt.

Credit: Regina Jutz

Mannheim Data Science well represented at Informatik 2024 in Wiesbaden

On September 26, 2024, the Mannheim Center for Data Science (MCDS) participated in the Data Science Community Workshop: “Current Developments and Perspectives (at Universities) in the Field of Data Science” at the RheinMain University of Applied Sciences in Wiesbaden. The workshop built on the ...

Werbeflyer für den Vortrag mit Titel, Ort, Datum der Veranstaltung und einem Foto von Meeyoung Cha

Credit: Lea Oberländer

Prof. Dr. Meeyoung Cha delivers first MCDS Distinguished Lecture

The newly introduced lecture series “MCDS Distinguished Lecture” began on April 9 with a lecture by Prof. Meeyoung Cha. She conducts research at the Korea Advanced Institute of Science and Technology (KAIST) and the Institute for Basic Science (IBS) in South Korea and will be Scientific Director of ...

Das Organisationsteam des DataFests (etwa 25 Personen) vor dem A6-Gebäude der Uni. Einige tragen das graue DataFest 2024 T-Shirt

Credit: Alexander Münch

DataFest Germany 2024 at the University of Mannheim

From April 5 to 7, the University of Mannheim hosted DataFest, a competition for students who want to demonstrate their skills in data analysis.

Giuliana Manganaro hält einen Vortrag vor etwa 30 Zuhörenden. Sie trägt einen roten Rock und eine schwarze Bluse.

Credit: Laura Kinzinger

What Survey Methodology and Data Science can learn from each other

Over 30 participants came together at the Academic Speed Dating event in the spring semester 2024 to discuss this and other questions and find out about current research in this field at the University of Mannheim.

DataFest Germany 2024 will take place at the University of Mannheim!

From April 5 to 7, 2024, the University of Mannheim will host a unique competition for one weekend: DataFest Germany invites students to compete in the processing of a previously unknown data set.