Skip to main navigation Skip to search Skip to main content

The Advantage of Big Team Science: Lessons Learned From Cognitive Science

  • David C. Vaidis*
  • , Jacob F. Miranda
  • , Erin M. Buchanan
  • , Yu Fang Yang
  • , Marta Kowal
  • , Kathleen Schmidt
  • , Marta Topor
  • , Michal Misiak
  • , Rachael Miller
  • , John Protzko
  • , Biljana Gjoneska
  • , Jeremy K. Miller
  • , Anna Exner
  • , Flavio Azevedo
  • , Mariola Paruzel-Czachura
  • , Faisal Mushtaq
  • , Catia Oliveira
  • , Jordan R. Wagge
  • , Delphine De Moor
  • , Niels G. Mede
  • Drew M. Altschul, Yuri G. Pavlov, Yashvin Seetahul, Leanne Boucher, Kimberly C. Doell, Ingmar Visser, Mahmoud M. Elsherif, Ekaterina Pronizius*
*Corresponding author for this work
  • Université de Toulouse
  • California State University East Bay
  • Harrisburg University of Science and Technology
  • Free University of Berlin
  • University of Wrocław
  • Ashland University
  • Linköping University
  • University of Oxford
  • University of Cambridge
  • University of Exeter
  • Central Connecticut State University
  • Macedonian Academy of Sciences and Arts
  • Willamette University
  • Ruhr University Bochum
  • University of Pennsylvania
  • University of Silesia in Katowice
  • University of Leeds
  • Cardiff University
  • Avila University
  • Wageningen University & Research
  • Newcastle University
  • University of Tübingen
  • University of Innsbruck
  • Nova Southeastern University
  • University of Konstanz
  • University of Vienna
  • University of Amsterdam
  • University of Birmingham
  • University of Leicester

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

Abstract

The credibility revolution in psychology and related sciences contributed to the adoption of large-scale research initiatives known as Big Team Science (BTS). BTS has made significant advances in addressing issues of replication, statistical power, and diversity through the use of larger samples and more representative cross-cultural data. However, while these collaborations hold great potential, they also introduce unique challenges related to their scale. Drawing on experiences from successful BTS projects, we identified and outlined key strategies for overcoming diversity, volunteering, and capacity challenges. We emphasize the need for clear role definitions, structured and preregistered workflows, centralized project management, and transparent decision documenting to prevent common pitfalls. Ultimately, we call for reflection on the strengths and limitations of BTS to enhance the quality, generalizability, and impact of research across disciplines. This work complements existing BTS guides by offering experientially-grounded, discipline-specific strategies and addressing underexplored logistical, ethical, and epistemological challenges in large-scale collaborations.

Original languageEnglish
JournalCollabra: Psychology
Volume12
Issue number1
DOIs
Publication statusPublished - 2026

Bibliographical note

Publisher Copyright:
. This is an open access article distributed under the terms of the http://creativecommons.org/licenses/by/4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords

  • big team science
  • collaborative research
  • credibility revolution
  • diversity
  • methods and practices
  • replication crisis
  • scientific community

Fingerprint

Dive into the research topics of 'The Advantage of Big Team Science: Lessons Learned From Cognitive Science'. Together they form a unique fingerprint.

Cite this