3-day course on 1-3 December 2026, from 9am to 5pm.
Jesper Wiborg Schneider (PS), Karolina Ścigała (PSY), Stefan Pfattheicher (PSY), Christian Truelsen Elbæk (MGMT), Janis Zickfeld (MGMT), Daniele Nosenzo (ECON), Yngwie Nielsen (CC), Nhu Do (MGMT/PS), Sonja Perkovic (MGMT).
Research following open science principles produces more reliable results, is more trusted by readers, and an increasing number of top journals now require adherence to open science principles. There is no doubt that open science principles are becoming more and more important.
This course is designed to equip PhD students with the necessary skills to navigate the open science space. It is a hands-on course, meaning that PhD students will learn how to apply open science in practice.
The course is relevant for those using experimental methods, correlational designs, or meta-analyses. The course is designed for, but not restricted to, PhD students in the social, behavioural, and health sciences.
Particular attention will be paid to sample size justification (i.e., power analysis), pre-registration, meta-analysis, registered reports, and data sharing and management. The course will also provide an opportunity for students to ask questions, exchange perspectives and concerns, and discuss practices and current developments.
The preliminary schedule is available here: kortlink.dk/2uuab
Pre-course preparation includes reading the course curriculum. Relevant texts will be made available to participants in advance, helping to enhance their understanding throughout the course.
English.
As a take-home assignment, each student will analyse a published article or pre-print of their choice (their own or by someone else) in terms of the extent to which it follows open science principles and reflect on possible improvements.
PhD students from all faculties and universities are welcome.
Aarhus University, TBA.
Karolina Ścigała (PSY), Janis Zickfeld (MGMT).
31 October 2026.
20
Please complete the online application form.