Meta-Analysis in Economics – Methods and Practice

Lecturers Dr. František Bartoš (University of Amsterdam) Prof. Tomáš Havránek (Charles University, Prague) Dr. Bianka Mey (Chemnitz University of Technology) Anna Schütze, M.Sc. (TU Dresden) Prof. T.D. Stanley (Deakin Business School) Dates Part 1 — Monday, September 21, 2026, 10:00 am – 1:00 pm (online) Part 2 — Wednesday, September 23, 2026, 9:30 am –„Meta-Analysis in Economics – Methods and Practice“ weiterlesen

Development of Intrinsically Interpretable and Post-hoc Explainable Machine Learning Models

Lecturer Prof. Dr. Patrick Zschech Chair of Business Information Systems, esp. Intelligent Systems and ServicesTU Dresden Date September 7 & 8, 2026with classes from 9:00 a.m. to 4:00 p.m. each day Room/Address Georg Schumann-Bau (SCH/B37)TU Dresden  Seminar content Machine learning (ML) models are increasingly used for prediction and decision-making, yet many high-performing approaches operate as„Development of Intrinsically Interpretable and Post-hoc Explainable Machine Learning Models“ weiterlesen

Operational Research methods for mobility

Lecturer Beatriz Brito Oliveira Assistant Professor (University of Porto)  Date June 1 & 2, 2026with classes from 9:00 am – 16:00 pm Room/Address TU Dresden, room tba Seminar content This short course introduces selected Operational Research (OR) methods for the analysis and design of mobility systems, with a focus on optimization-based modeling. Participants will learn how to„Operational Research methods for mobility“ weiterlesen

Supporting Empirical Research with Agentic AI

Lecturer Prof. Dr. Peter Schäfer Chair of Business Administration, esp. Management Accounting and ControlTU Dresden Date October 7 & 8, 2026with classes from 10:00 am to 5:00 pm (Day 1) and 9:00 am to 4:00 pm (Day 2) Room/Address S 390Hülße BauTU Dresden Seminar content You will get an introduction to the key ideas behind„Supporting Empirical Research with Agentic AI“ weiterlesen

Design of Survey Studies

Lecturer Prof. Dr. Thomas GüntherChair of Business Administration, esp. Management Accounting and ControlDresden University of Technology Date March 13, 2026, 10:00 am – 12:00 pm (opening session)March 26, 2026, 10:00 am – 12:00 pm (Q&A session)April 9, 2026, 10:00 am – 12:00 pm (preparation of the exposé) Room/Address online Target group Researchers in all fields„Design of Survey Studies“ weiterlesen

Stata® 101 – Introduction to Data Management, Analysis, and Visualization

Lecturer Prof. Dr. Peter SchäferChair of Business Administration, esp. Management Accounting and ControlTU Dresden Date October 7 & 8, 2026with classes at 10:00 am – 5:00 pm each day Room/Address Room SCH B 37Georg-Schumann-BauFaculty of Business and EconomicsTU Dresden Seminar content You will get a short introduction to Stata basics, including the user interface, the„Stata® 101 – Introduction to Data Management, Analysis, and Visualization“ weiterlesen

Publishing in Leading Journals

Lecturer Prof. Ajay KohliGeorgia Institute of Technology, USA Date July 10 & 11, 2026with classes at 9:00 a.m. – 5:00 p.m. each day Room/Address tbaFaculty of Economics and Management ScienceUniversity LeipzigGrimmaische Str. 12, 04109 Leipzig Seminar content This course is aimed at helping students develop skills in publishing in top journals. It discusses a variety„Publishing in Leading Journals“ weiterlesen

Gathering Open Data: Web Scraping and APIs

Lecturer Jun.-Prof. Dr. Tristan BeckerJunior Professor in Business Administration, esp. Management ScienceTU Dresden Date November 12 & 13, 2026 Room/Address Room SCH B 37Georg-Schumann BauFaculty of Business and EconomicsTU Dresden Seminar content The internet contains vast amounts of open data. In most cases, it is impossible to simply download the desired data in a structured„Gathering Open Data: Web Scraping and APIs“ weiterlesen

Engaging in Scholarly Dialogue: Peer Review for PhD Candidates

Lecturer Prof. Dr. Stefan RazinskasChair of Business Administration, esp. Organization and ManagementTU Dresden Date April 23 & 24, 2026with classes from 9:00 a.m. to 4:00 p.m. each day Room/Address SCH B 37Georg-Schumann-Bau, Faculty of Business and EconomicsTU Dresden Seminar content This two-day workshop is designed for PhD candidates who wish to develop a deeper understanding„Engaging in Scholarly Dialogue: Peer Review for PhD Candidates“ weiterlesen

Grounded Theory Method

Lecturer Prof. Dr. Fred Niederman Shaughnessy Chair of ManagementSaint Louis University, USA Date January 29 & 30, 2026with classes at 9:00 am – 12:00 pm & 2:00 pm – 5:00 pm each day Room/Address Room SCH B37Georg-Schumann-Bau, Faculty of Business and EconomicsTU Dresden Seminar content The course will be delivered in two segments with the first segment„Grounded Theory Method“ weiterlesen