01. September bis 18. September 2026 | Online / Berlin

Registration Deadline: August 2, 2026

This course focuses on quantitative empirical accounting research, covering theoretical, methodological
and technical aspects of this research program. It also introduces students to the concepts of Open
Science. In terms of applications, it concentrates on financial and other related disclosure issues but
also touches on some managerial and auditing topics. After this course, participants should

• have a clear understanding about the theoretical foundations of quantitative empirical accounting research,
• know the methodological approaches to and common pitfalls of empirical research designs,
• have become familiar with a collaborative open science workflow using R/Python/Stata and Github,
• know how to execute empirical archival studies, including the usability and inter-operability of different data sources
• and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical accounting research.

First part, online: 01.09.24, 04.09.26, 08.09.26, 11.09.26
Second part, in person (Berlin): September 16 – 18, 2026