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In science, adversarial collaboration is a modality of collaboration wherein opposing views work together in order to jointly advance knowledge of the area under dispute. This can take the form of a scientific experiment conducted by two groups of experimenters with competing hypotheses, with the aim of constructing and implementing an experimental design in a way that satisfies both groups that there are no obvious biases or weaknesses in the experimental design. Adversarial collaboration can involve a neutral moderator and lead to a co-designed experiment and joint publishing of findings in order to resolve differences. With its emphasis on transparency throughout the research process, adversarial collaboration has been described as sitting within the open science framework.




History


One of the earliest modern examples of adversarial collaboration was a 1988 collaboration between Erez and Latham with Edwin Locke working as a neutral third party. This collaboration came about as the result of a disagreement from the field of Goal-Setting research between Erez and Latham on an aspect of goal-setting research around the effect of participation on goal commitment and performance. Latham and Erez designed four experiments which explained the differences between their individual findings, but did not coin the term adversarial collaboration. Independently, to Erez, Locke and Latham whose work he was unaware of, Daniel Kahneman developed a similar protocol for adversarial collaboration around ten years later and may have been the first to use the term adversarial collaboration. More recently, Clark and Tetlock have proposed adversarial collaboration as a vehicle for improving how science can self-correct through exploring rival hypotheses which will ultimately expose false claims. Their work has led to the University of Pennsylvania School of Arts & Sciences creating the Adversarial Collaboration Project which seeks to encourage the use of adversarial collaboration as a research approach to address a variety of research questions.




Benefits


Adversarial collaboration has been recommended by Daniel Kahneman and others as a way of reducing the distorting impact of cognitive-motivational biases on human reasoning and resolving contentious issues in fringe science. It has also been recommended as a potential solution for improving academic commentaries.
Philip Tetlock and Gregory Mitchell have discussed it in various articles. They argue:

Adversarial collaboration is most feasible when least needed: when the clashing camps have advanced testable theories, subscribe to common canons for testing those theories, and disagreements are robust but respectful. And adversarial collaboration is least feasible when most needed: when the scientific community lacks clear criteria for falsifying points of view, disagrees on key methodological issues, relies on second- or third-best substitute methods for testing causality, and is fractured into opposing camps that engage in ad hominem posturing and that have intimate ties to political actors who see any concession as weakness.




References






External links


The Adversarial Collaboration Project at UPenn studies and supports researchers with differing views
AI Magazine's AI Bookies column supports an adversarial approach to AI Research
Lesswrong Has examples of adversarial collaboration

Kata Kunci Pencarian: adversarial collaboration

• Adversarial collaboration
• Collaboration
• Generative adversarial network
• Adversary
• Integrated information theory
• Dehaene–Changeux model
• Conjunction fallacy
• Design of experiments
• Goal setting
• Fusiform face area

adversarial collaboration

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• Adversarial collaboration - Wikipedia
• Adversarial Collaboration: An EDGE Lecture by Daniel Kahneman
• Adversarial Collaboration Project | Adversarial Collaboration …
• Accelerating Research | Adversarial Collaboration
• Adversarial Collaboration - SpringerLink
• The Adversarial Collaboration Within Each of Us - PMC
• Adversarial Collaboration (Dispute Protocol) - LessWrong
• Adversarial collaboration | FORRT - Framework for Open and …
• Keep Your Enemies Close: Adversarial Collaborations Will …
• Generative adversarial collaborations: a new model of scientific ...

Adversarial collaboration - Wikipedia

In science, adversarial collaboration is a modality of collaboration wherein opposing views work together in order to jointly advance knowledge of the area under dispute.

Adversarial Collaboration: An EDGE Lecture by Daniel Kahneman

Introduced as "a substitute for the format of critique-reply-rejoinder in which debates are currently conducted in the social sciences," Kahneman championed adversarial collaboration as "a good-faith effort to conduct debates by carrying out joint research."

Adversarial Collaboration Project | Adversarial Collaboration …

The Adversarial Collaboration Project supports scholars with clashing theoretical-ideological views to engage in best practices for resolving scientific disputes.

Accelerating Research | Adversarial Collaboration

Accelerating Research is a unique platform dedicated to supporting five adversarial-collaboration research projects. Developed by Dawid Potgieter under a project led by DataCite and funded by the Templeton World Charity Foundation, we showcase results from each project as it progresses.

Adversarial Collaboration - SpringerLink

Aug 24, 2022 · Adversarial collaboration is an approach to resolving scientific disputes, wherein researchers who have different positions on the issue at hand collaborate with the aim of making progress on their disputed research question.

The Adversarial Collaboration Within Each of Us - PMC

The adversarial collaboration approach has both advantages and limitations. It contributes to research in two basic ways. First, the collaboration itself produces important work.

Adversarial Collaboration (Dispute Protocol) - LessWrong

Adversarial collaboration is a protocol developed by Daniel Kahneman for two researchers advocating competing hypotheses to collaborate on a research project with the goal of resolving their differences, designed on the assumption that this will be more effective than each researcher conducting their own experiments individually and publishing ...

Adversarial collaboration | FORRT - Framework for Open and …

Feb 7, 2025 · A collaboration where two or more researchers with opposing or contradictory theoretical views —and likely diverging predictions about study results— work together on one project. The aim is to minimise biases and methodological weaknesses as well as to.

Keep Your Enemies Close: Adversarial Collaborations Will …

Mar 6, 2022 · Adversarial collaborations, which call on disputants to co-develop tests of competing hypotheses, are an efficient method of improving our science’s capacity for self-correction and of promoting...

Generative adversarial collaborations: a new model of scientific ...

Dec 20, 2024 · In 2020, the Cognitive Computational Neuroscience (CCN) conference (https://www.ccneuro.org) launched the Generative Adversarial Collaboration (GAC) project (https://gac.ccneuro.org/), aiming to reveal, discuss, and advance some of the most tantalizing controversies in the field.