Brown bag seminar - Recent developments in data science
The brown bag seminar serves as a platform for exchange and constructive discussions on a full variety of topics around data science from first research ideas up to already published research results. It welcomes methodological talks and talks on innovative applications of quantitative methods alike. The areas of applications include, but are not limited to, Economics, Finance, Marketing, Operations Management, Logistics, and Supply Chain Management.
The moderated talks of the brown bag seminar are predominantly organized around the following subject areas:
- Expert classes:
Talks on recent advances in the design and application of quantitative methods provided by invited scientists, who are experts in their field.
- Impulses from managers:
Talks from practitioners about case studies for the planned or actual applications of quantitative methods. These talks provide insights into the (expected) impact of quantitative methods in practice and highlight encountered challenges and lessons learned. They also suggest most important future research directions on quantitative methods from a managerial point of view.
- Intensive ideation workshops:
Doctoral students (or further workshop participants) present their current research to collect an intensive feedback as well as impulses and ideas for further steps.
If you have questions, please contact Prof. Dr. Harry Haupt.
Presentations in Summer Term 2023
Date | Room | Speaker | Title |
---|---|---|---|
04/05/2023 12:00 pm - 14:00 pm | ZOOM | Dr. Matthias Soppert | Demand Management in Shared Mobility Systems |
25/05/2023 | (WIWI) Room 301 | tba | tba |
15/06/2023 | (WIWI) Room 301 | tba | tba |
22/06/2023 | (WIWI) Room 301 | tba | tba |
29/06/2023 | (WIWI) Room 301 | tba | tba |
06/07/2023 | (WIWI) Room 301 | tba | tba |
13/07/2023 | (WIWI) SR 028 (HA) | tba | tba |
Presentations in Winter Term 2022/23
Date | Room | Speaker | Title |
---|---|---|---|
11/10/2022 12:00 pm - 14:00 pm | (ITZ) Room 017 | Prof. Dr. Michel Gendreau | Crowd-shipping under Uncertainty: Models, Solution Approaches, and Compensation Issues |
11/24/2022 12:00 pm - 14:00 pm | (WIWI) Room 301 | Prof. Dr. Tobias Harks | Prediction Equilibrium for Dynamic Traffic Assignment |
12/15/2022 12:00 pm - 14:00 pm | (WIWI) Room 301 | Prof. Dr. Daniel J. Henderson | A Complete Framework for Model-Free Difference-in-Differences |
01/19/2023 12:00 pm - 14:00 pm | ZOOM | Prof. Dr. Martin Klarman | Extracting and Eliciting Suggestions for Product Development from Online Customer Reviews. |
01/26/2023 12:00 pm - 14:00 pm | (WIWI) Room 301 | Jun.- Prof. Dr. Martin Becker | Leveraging Background Knowledge for Understanding and Modeling Complex Systems |
Date | Room | Speaker | Title |
---|---|---|---|
05/13/2022 10:30 am - 12:00 pm | (WIWI) HS 6 | Prof. Dr. Clemens Thielen Technical University of Munich | Duty Rostering for Physicians via Integer Programming: A Web-Based System and its Practical Application |
05/23/2022 12:00 am - 13:30 pm | (WIWI) HS 6 | Prof. Dr. Thomas Kneib University of Göttingen | An introduction to distributional regression |
06/13/2022 12:00 pm - 13:30 pm | (WIWI) HS 6 | Prof. Dr. Justus Arne Schwarz University of Regensburg | Production planning with stochastic and non-stationary yield in the semiconductor industry |
07/11/2022 12:00 pm - 13:30 pm | (WIWI) HS 6 | Rico Weinreich, Julia Auer | Practical Lecture about Draussen.de |
07/25/2022 12:00 pm - 13:30 pm | (WIWI) HS 6 | PD Dr. Michael Scholz Deggendorf Institute of Technology | Applied research in data science – Three examples |
Date | Speaker | Title |
---|---|---|
10/25/2021 - 10:30 am-12:00 pm | Prof. Dr. Dominik Liebl | Fast and Fair Simultaneous Confidence Bands for Functional Parameters |
12/13/2021 - 11:00 am-12:00 pm | PD Dr. Sergei Chubanov Bosch Center for Artificial Intelligence | On oracle complexity of integer programming |
01/10/2022 - 10:30 am-12:00 pm | Prof. Dr. Florian Lemmerich | Subgroup discovery and exceptional model mining |
01/31/2022 - 10:30 am-12:00 pm | Prof. Dr. Christian Schlereth WHU – Otto Beisheim School of Management | Discrete choice experiments: recent advances and why they still matter in the digital age |
02/24/2022 - 10:30 am- 12:00 pm | Dr. Christian Tilk Johannes Gutenberg University of Mainz | Operative planning with two-echelon distribution systems |
Date | Speaker | Title |
---|---|---|
04/26/2021 - 11:00 am - 12:30 pm | Prof. Dr. Harry Haupt and PD Dr. Joachim Schnurbus University of Passau | Almost model-free prediction of trending nonlinear seasonal series |
05/17/2021 - 11:00 am - 12:30 pm | Prof. Dr. Alena Otto University of Passau | Optimization meets machine learning / statistics |
06/07/2021 11:00 am - 12:30 pm | Dr. Roland Jucknewitz AOK Bayern | Covid-19 risk factors: Statistical learning from German healthcare claims data |
06/21/2021 11:00 am - 12:30 pm | Prof. Dr. Max Schiffer Technical University of Munich | Seeing a forest through its trees: Recent enhancements on born-again tree ensambles for interpretalble machine learning |
06/28/2021 11:00 am - 12:30 pm | Prof. Dr. rer. nat. Philipp Sibbertsen | Testing for multiple structural breaks in mulitvariate long memory time series |
07/19/2021 11:00 am - 12:30 pm | Prof. Dr. Simone Wies | Innovation imprinting: Why some firms beat the post-IPO innovation slump |