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Diego Gómez-Zará, who hopes his thesis work will highlight the potential of recommender systems to design and create more diverse teams, plans to use the grant funding to recruit and pay 240 research study participants and to support two undergraduate research assistants, whom he’ll mentor. He’ll also put some of the funding toward conference costs to present his research findings and open-access publication fees to more widely disseminate his research results. “This grant will help us to continue carrying out our team experiments, which require a large number of participants; continue developing new algorithms for our team recommender systems; and test empirically if team recommender systems can enable users to form more diverse teams,” he says.