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The Psychological Science Accelerator: Advancing Psychology through a Distributed Collaborative Network
- Hannah Moshontz
- Lorne Campbell
- Charles R. Ebersole
- Hans IJzerman
- Heather L. Urry
- Patrick S. Forscher
- Jon Grahe
- Randy J. McCarthy
- Erica D. Musser
- John Protzko
- Jessica Kay Flake
- Diego A. Forero
- Steve M. J. Janssen
- Justin Keene
- Balazs Aczel
- Daniel Ansari
- Jan Antfolk
- Ernest Baskin
- Carlota Batres
- Martha Lucia Borras-Guevara
- Cameron Brick
- Christopher Michael Castille
- Priyanka Chandel
- William J. Chopik
- David Clarance
- Katherine S. Corker
- Barnaby Dixson
- Vilius Dranseika
- Yarrow Dunham
- Nicholas Fox [SCORE]
- Thomas Rhys Evans
- Susann Fiedler
- Cynthia H.Y. Fu
- Gwendolyn Gardiner
- S. Mason Garrison
- Tripat Gill
- Amanda Hahn
- Bastian Jaeger
- Pavol Kačmár
- Kaminski Gwenaël
- Philipp Kanske
- Zoltan Kekecs
- Melissa Kline Struhl
- Monica Koehn
- Pratibha Kujur
- Carmel Levitan
- Jeremy K. Miller
- Ceylan Okan
- Jerome Olsen
- Oscar Oviedo-Trespalacios
- Asil Ozdogru
- Babita Pande
- Arti Parganiha
- Noorshama Parveen
- Gerit Pfuhl
- Sraddha Pradhan
- Ivan Ropovik
- Nicholas Rule
- Blair Saunders
- Vidar Schei
- Kathleen Schmidt
- Margaret Messiah Singh
- Miroslav Sirota
- Sara Álvarez Solas
- Crystal N. Steltenpohl
- Stefan Stieger
- Daniel Storage
- Gavin Brent Sullivan
- Anna Szabelska
- Christian K. Tamnes
- Miguel A. Vadillo
- wolf vanpaemel
- Evie Vergauwe
- Mark Verschoor
- Michelangelo Vianello
- Martin Voracek
- Glenn Patrick Williams
- John Paul Wilson
- Janis Zickfeld
- Dana Awlia
- Armand Chatard
- Ana Maria Fernandez
- Aycan Kapucu
- Michael Mensink
- Christopher R. Chartier
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Category: Communication
Description: Concerns have been growing about the veracity of psychological findings. Many findings in psychological science are based on studies with insufficient statistical power and non-representative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Large-scale collaboration, in which one or more research projects are conducted across multiple lab sites, offers a pragmatic solution to these and other current methodological challenges. The Psychological Science Accelerator (PSA) is a distributed network of laboratories designed to enable and support crowdsourced research projects. The PSA’s mission is to accelerate the accumulation of reliable and generalizable evidence in psychological science. Here, we describe the background, structure, principles, procedures, benefits, and challenges of the PSA. In contrast to other crowdsourced research networks, the PSA is ongoing (as opposed to time-limited), efficient (in terms of re-using structures and principles for different projects), decentralized, diverse (in terms of participants and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside of the network). The PSA and other approaches to crowdsourced psychological science will advance our understanding of mental processes and behaviors by enabling rigorous research and systematically examining its generalizability.