Thus We Are Agreed! A Systematic Mapping Review of Adversarial Collaborations in Science

In a time where the methods of science are frequently called into question, open science practices are gaining increased importance. A particularly cooperative form of transparent science is the approach of adversarial collaboration (AC), where research groups with different explanations of the same phenomenon work closely together to develop a study and publish their results jointly, regardless of the outcome. The aim of this work, a systematic mapping review, is to provide a comprehensive overview of the formal aspects of AC and identify the relevant factors that need to be considered when applying this method. For this purpose, both AC studies and publications related to this topic were analyzed. The total of 89 articles retrieved, analyzed, and integrated indicates that accounts on this topic have slightly increased (mostly in psychology) in recent years. However, only a handful of authors have delved more deeply into ACs, and there currently is no journal specifically promoting ACs. The analyzed sources provide a solid foundation for best-practice recommendations and a comprehensive overview of the pros and cons of AC, in the form of organized lists of AC-related known advantages and challenges (alongside solutions to the latter ones). Specifically, some AC studies show weaknesses in study quality, mainly due to a lack of information on the implementation steps. This systematic mapping review serves not only as an introduction to the topic, but also as a guide for future ACs.

Authors

Institutions

Publication Details

Journal
Publications
Published
2026-07-24
DOI
https://doi.org/10.3390/publications14030047
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thus We Are Agreed! A Systematic Mapping Review of Adversarial Collaborations in Science

Martin Voracek, Ulrich S. Tran, Annalena Seyr
Publications
Meta-analysis and systematic reviews
article

Thus We Are Agreed! A Systematic Mapping Review of Adversarial Collaborations in Science

Martin Voracek, Ulrich S. Tran, Annalena Seyr
article en

Abstract

In a time where the methods of science are frequently called into question, open science practices are gaining increased importance. A particularly cooperative form of transparent science is the approach of adversarial collaboration (AC), where research groups with different explanations of the same phenomenon work closely together to develop a study and publish their results jointly, regardless of the outcome. The aim of this work, a systematic mapping review, is to provide a comprehensive overview of the formal aspects of AC and identify the relevant factors that need to be considered when applying this method. For this purpose, both AC studies and publications related to this topic were analyzed. The total of 89 articles retrieved, analyzed, and integrated indicates that accounts on this topic have slightly increased (mostly in psychology) in recent years. However, only a handful of authors have delved more deeply into ACs, and there currently is no journal specifically promoting ACs. The analyzed sources provide a solid foundation for best-practice recommendations and a comprehensive overview of the pros and cons of AC, in the form of organized lists of AC-related known advantages and challenges (alongside solutions to the latter ones). Specifically, some AC studies show weaknesses in study quality, mainly due to a lack of information on the implementation steps. This systematic mapping review serves not only as an introduction to the topic, but also as a guide for future ACs.

PublicationsVol. 14(3)
University of Vienna (AT)
Universität Wien
Partnerships for the goals
Openalex Percentile: Top 8%
Meta-analysis and systematic reviews
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Thus We Are Agreed! A Systematic Mapping Review of Adversarial Collaborations in Science — Martin Voracek, Ulrich S. Tran, et al. · Publications (2026) | TGRS Research Map | TGRS