Tracking and mainstreaming replications in the social, cognitive, and behavioral sciences
Year: 2026
Type: preprint
Abstract: Replicability is a cornerstone of scientific progress. Yet, replications are often undervalued, and are sometimes seen as redundant, unimportant, or lacking novelty. This impedes their broader adoption in research and beyond. In response, the credibility revolution calls for slower, more deliberate science and greater responsiveness to fallibility. In this perspective piece, we argue that (a) replications are essential for validating scientific claims, (b) replications need to be made more visible, recognized, and integrated into research and educational practices, and (c) we can change the way we view and judge replication results. We propose a framework where replication studies can be systematically tracked and normalized through the Replication Hub as part of the Framework for Open and Reproducible Research Training (FORRT) initiative, with the goal of enhancing the visibility, integration, and cumulative impact of replication research across disciplines.
Authors: Helena Hartmann, Flavio Azevedo, Lukas Röseler, Lukas Wallrich, Alaa Aldoh, Mahmoud Medhat Elsherif, Meng Liu, Rían O’Mahoney, Zoran Pavlović, Robert Reason, Aleksandrina Skvortsova, Valeria Agostini, Laurence Aitchison, Ali H. Al-Hoorie, Nihan Albayrak, Nora Ammann, Farid Anvari, Patricia Arriaga, Bradley James Baker, Balazs Aczel, David J. Bauer, Julia Beitner, Hetvi Bhatt, Cameron Brick, Hilmar Brohmer, Benjamin Brummernhenrich, Emily Budd, Anya Butler, Subramanya Prasad Chandrashekar, Sau-Chin Chen, Kai Li Chung, Jamie Philip Cockcroft, Paul Crowe, Oliver Deane, Veronica Diveica, Andis Draguns, Sam Enright, Thomas Rhys Evans, Anna Exner, Gilad Feldman, Adrien Alejandro Fillon, Felipe Fontana Vieira, Joris Frese, Max Gattie, Vaitsa Giannouli, Biljana Gjoneska, Amélie Gourdon-Kanhukamwe, Christopher James Graham, Jason Hausenloy, Alina Herderich, Zlatomira Ilchovska, Hirotaka Imada, Kamil Izydorczak, Alma Jeftic, Tamara Kalandadze, Alexandros Kastrinogiannis, Maren Klingelhöfer-Jens, Halil Emre Kocalar, Lina Koppel, Alina Koppold, Max Korbmacher, Annalise LaPlume, Jaeho lee, Nigel Mantou Lou, Dermot Lynott, Sharan Maiya, David McSharry, Kimberly Lewis Meidenbauer, Maria Meier, Leticia Micheli, Maria Montefinese, David Moreau, Nadja K. Moser, Kellen Mrkva, Niyatee Narkar, Monika Nemcova, Aoife O'Mahony, Julian Packheiser, Shubham Pandey, Charlotte Pennington, Merle-Marie Pittelkow, Willemijn Plomp, Paul E. Plonski, Ekaterina Pronizius, Elena Richert, Jan Philipp Röer, Robert M Ross, Kathleen Schmidt, Nuño Sempere, Matthias F.J. Sperl, Jeffrey R Stevens, Alvin Wei Ming Tan, Marina Tiulpakova, Aleksandra Tołopiło, Burak Tunca, wolf vanpaemel, Leigh Ann Vaughn, Steven Verheyen, Julia Wolska, Siu Kit Yeung, Mirela Zaneva, Gavin Leech
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7135201638