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Solid Science Training Workshop

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Workshop Goal is to provide hands-on training in open science.

Topics discussed during the workshop include exploratory social psychological science (e.g., deep learning), confirmatory social psychological science (i.e., pre-registration), and other aspects of establishing a reproducible workflow. The workshop is primarily aimed at providing training to researchers with fewer financial resources.

The last few years have seen social psychology in a crisis, ranging from outright fraud (e.g., Stapel) to considerable concerns about reproducibility (e.g., Open Science Collaboration, 2015). Yet, psychologists have also led the way in the quest to improve reproducibility. Sharing research materials and data, pre-registration, and separating exploratory from confirmatory data analyses are starting to become commonplace. However, the path to more solid science is not easy. This workshop therefore deals with the challenges that lie ahead. It included active, hands-on sessions to help set up a lab workflow (Frederic Aust), conduct proper power analyses for both simple and complex study designs (Marco Perugini), search for open access software (Michèle Nuijten), integrate these new habits into undergraduate teaching (Mark Brandt), conducting exploratory analyses (Rick Klein), as well as confirmatory analyses (Kai Jonas), and initiating or participating in crowd-sourced research (Ben Jones).

Changes to the new EU data security laws and how psychologists can prepare for these changes are discussed. The workshop also had a special focus on how to reduce the costs of open science for the researchers, while at the same time gather resources to be able to meet the challenges of the Revolution 2.0 (Spellman, 2015).

The workshop was co-organized by the Université de Bordeaux and Université Grenoble Alpes and supported by EASP.

Workshop program