University of Innsbruck

Summer School 
Open Science

This summer school Open Science aims at providing a critical view on the “rules of a game named science,” and provides an introduction to remedies to the manifold issues jeopardizing the credibility of scientific results: power calculations, confirmatory research (pre-registration), and open and transparent research practices.

ein Seil das in der Mitte fast auseinander reißt

Registration Organisational Information


Certificate of the University of Innsbruck

5 days/5 ECTS-Credits

July 3th 2023

450 EUR


The right Summer School for me?

Kopf aus dem verschiedene Statistiken kommen


Graduates will

  • have a thorough understanding of common (mal)practices in scholarly research.
  • have a thorough understanding of confirmatory and transparent research practices.
  • have a thorough understanding of error rates, significance, power, etc.
  • be able to undertake a priori power calculations and sensitivity analysis.
  • be able to critically assess scientific projects and results.
Mehrere Personen die untereinander vernetzt sind

Target group

  • PhD-students.
  • University graduates.
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Basic knowledge of statistics.

Eine Computertaste auf der "Contact" steht


Felix Holzmeister, PhD

Department of Economics
und Wirtschaftsgeschichte
Universitätsstraße 15
6020 Innsbruck

+43 512 507-71040

Felix Holzmeister, PhD
Deparment of Economics


3 July to 7 July 2023 from 09:00 to 16:00.


University of Innsbruck
Campus SOWI


The goal of scientific research is to accumulate knowledge. Researchers generate hypotheses and collect data in order to investigate whether or not empirical observations are consistent with these hypotheses. However, even though science aspires towards accuracy in this process, errors are inevitable. A fundamental characteristic that sets empirical science apart from other sources of knowledge is the ability to self-correct; any empirical observation is subject to validation and may be shown to be wrong. The reproducibility of empirical results constitutes a cornerstone of the scientific method. As a consequence of accumulative evidence emphasizing low levels of replicability, there is increasing concern that a considerable fraction—or even a majority—of published research claims may be simply false. The drivers of this „credibility crisis“ are manifold: the file drawer effect, insufficient statistical power, publication bias, confirmation bias, dodgy incentives in the publication process, p-hacking, etc.


Registration is currently possible.

General Information for Course Registration.

The participants have to take care of their insurances
(health, accident and liability insurance) themselves.