Solid Science Training Workshop

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

• Open source & open science software - Michèle Nuijten, University of Tilburg

• Teaching Open Science : Introducing the CREP- Fieke Wagemans, University of Netherlands

•  A practical primer to power analysis - Marco Perugini, University of Milan Bicocca

• Exploratory social science : Getting the most out of your data, and an introduction to concepts in Deep Learning and cross-validation - Rick Klein, University of Grenoble Alpes

• Pre-registration in psychological science (and how to fund it) - Kai Jonas, University of Maastricht

• A practical primer on transparent research workflows (1/2) - Frederik Aust, University of Cologne

• A practical primer on transparent research workflows (2/2) - Frederik Aust, University of Cologne

• Crowdsourcing psychological science : The Psychological Science Accelerator - Ben Jones, University of Glasgow