Adversarial Collaboration as a Strategy for Credible Biomedical Science

This Viewpoint examines adversarial collaboration—bringing investigators with opposing views to design, analyze, and publish studies together, often with a neutral arbiter—as a strategy for credible biomedical science.

Authors

Institutions

Publication Details

Journal
JAMA
Published
2026-01-05
DOI
https://doi.org/10.1001/jama.2025.23911
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adversarial Collaboration as a Strategy for Credible Biomedical Science

David Kent, John P. A. Ioannidis
JAMA
Cell Image Analysis Techniques
article

Adversarial Collaboration as a Strategy for Credible Biomedical Science

David Kent, John P. A. Ioannidis
article en

Abstract

This Viewpoint examines adversarial collaboration—bringing investigators with opposing views to design, analyze, and publish studies together, often with a neutral arbiter—as a strategy for credible biomedical science.

JAMAVol. 335(5)
Tufts University (US), Tufts Medical Center (US), Innovative Research (United States) (US), Stanford University (US)
Openalex Percentile: Top 97%
Cell Image Analysis Techniques
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.

Adversarial Collaboration as a Strategy for Credible Biomedical Science — David Kent, John P. A. Ioannidis · JAMA (2026) | TGRS Research Map | TGRS