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 E. Grahe, Randy J. Mccarthy, Erica D. Musser, Jan Antfolk, Christopher M. Castille, Thomas Rhys Evans, Susann Fiedler, Jessica Kay Flake, Diego A. Forero, Steve M. J. Janssen, Justin Robert Keene, John Protzko, Balazs Aczel, Sara Álvarez SolasDaniel Ansari, Dana Awlia, Ernest Baskin, Carlota Batres, Martha Lucia Borras-guevara, Cameron Brick, Priyanka Chandel, Armand Chatard, William J. Chopik, David Clarance, Nicholas A. Coles, Katherine S. Corker, Barnaby James Wyld Dixson, Vilius Dranseika, Yarrow Dunham, Nicholas W. Fox, Gwendolyn Gardiner, S. Mason Garrison, Tripat Gill, Amanda C. Hahn, Bastian Jaeger, Pavol Kačmár, Gwenaël Kaminski, Philipp Kanske, Zoltan Kekecs, Melissa Kline, Monica A. Koehn, Pratibha Kujur, Carmel A. Levitan, Jeremy K. Miller, Ceylan Okan, Jerome Olsen, Oscar Oviedo-trespalacios, Asil Ali Özdoğru, Babita Pande, Arti Parganiha, Noorshama Parveen, Gerit Pfuhl, Sraddha Pradhan, Ivan Ropovik, Nicholas O. Rule, Blair Saunders, Vidar Schei, Kathleen Schmidt, Margaret Messiah Singh, Miroslav Sirota, Crystal N. Steltenpohl, Stefan Stieger, Daniel Storage, Gavin Brent Sullivan, Anna Szabelska, Christian K. Tamnes, Miguel A. Vadillo, Jaroslava V. Valentova, Wolf Vanpaemel, Marco A. C. Varella, Evie Vergauwe, Mark Verschoor, Michelangelo Vianello, Martin Voracek, Glenn P. Williams, John Paul Wilson, Janis H. Zickfeld, Jack D. Arnal, Burak Aydin, Sau-chin Chen, Lisa M. Debruine, Ana Maria Fernandez, Kai T. Horstmann, Peder M. Isager, Benedict Jones, Aycan Kapucu, Hause Lin, Michael C. Mensink, Gorka Navarrete, Miguel A. Silan, Christopher R. Chartier

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Concerns about the veracity of psychological research have been growing. Many findings in psychological science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings or populations. Crowdsourced research, a type of 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. These projects can focus on novel research questions or replicate prior research in large, diverse samples. 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 that structures and principles are reused for different projects), decentralized, diverse (in both subjects and researchers), and inclusive (of proposals, contributions, and other relevant input from anyone inside or outside the network). The PSA and other approaches to crowdsourced psychological science will advance understanding of mental processes and behaviors by enabling rigorous research and systematic examination of its generalizability.
Original languageEnglish
Pages (from-to)501-515
JournalAdvances in Methods and Practices in Psychological Science
Volume1
Issue number4
DOIs
Publication statusPublished - 2018

Funding

Fifth, because the PSA relies on the resources held by participating labs, as is the case with other forms of research and collaboration, the PSA is limited in the studies that it can conduct without external funding. Some types of studies are more difficult for us to support than others (e.g.,studies involving small-group interactions or behavioral observation, protocols that require the use of specialized materials or supplies). Currently, the studies we select are limited to those that do not require expensive or uncommon equipment and are otherwise easy to implement across a wide variety of laboratories. As a result, deserving research questions may not be selected by the PSA for feasibility reasons. We actively seek funding to support the organization and expand the range of feasible studies. For now, researchers can apply for and use grant funding to support project implementation via the PSA. There are currently a handful of labs in the network with specialized resources (e.g., functional MRI), and we hope that the network will eventually grow enough to support projects that require such specialized resources (e.g., developmental research that requires eye tracking and research assistants trained to work with young children). Further, we are in the process of forming a new funding committee devoted solely to the pursuit of financial support for the PSA and its member labs.

FundersFunder number
KINSHIP
Vicerrectoría de Ciencia, Tecnología e Innovación
National Science FoundationDGE-1445197
National Institute of Mental HealthR03MH110812-02
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
Horizon 2020 Framework Programme647910, 1445197
Comunidad de Madrid2016-T1/ SOC-1395
Social Sciences and Humanities Research Council of Canada
European Research Council
Agence Nationale de la RechercheANR-15-IDEX-02
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungPZ00P1_154911
Canada Research Chairs
Fondo Nacional de Desarrollo Científico y Tecnológico1181114
Nederlandse Organisatie voor Wetenschappelijk Onderzoek452-17-013
Gielen-Leyendecker-Stiftung

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