Comment: Build up big-team science to tackle difficult questions
Grass-roots effort launched in 2018. Collaborators formed adversarial teams recruited through social media and e-mail.Nearly 50 researchers collected data from 3,878 participants across 19 countriesLaunched in 2013 through funding provided by Arnold Ventures to the Center of Open Science and Science Exchange.200 collaborators attempted to replicate 158 effects from 50 preclinical experimentsGrass-roots consortium conceived in 2018.
We have found that grass-roots big-team science is capable of generating knowledge that is difficult to obtain — but faces several barriers to sustainability.Michele Grigsby Coffey, a historian at the University of Memphis in Tennessee, has described academia as “a selfish sport” in which researchers “are rewarded for self-absorbed fixations”, and in which “prioritizing yourself at the expense of others is encouraged”.
Pursuing relatively selfless ideals of big-team science can mean being penalized by the referees of the selfish sport of academia. For example, when one of us was nominated to direct the Psychological Science Accelerator during a postdoctoral fellowship, a well-meaning adviser told him that it was an important role and that he was a great fit, but that pursuing it would “kill chances of getting a tenure-track position”.
Projects by the ManyBabies Consortium explore infant cognition. The pictured ongoing project involves 88 collaborators from 27 countries on 4 continents, who are collecting data from more than 1,000 infants.Academia could change the game by rewarding researchers who make large contributions to team efforts. Otherwise, teams will be forced to find other ways to increase benefits or decrease the costs of participation.
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