The seminar is entitled, "Gender Diverse Teams Produce More Innovative and Influential Ideas in Medical Research”.
All physically present will be required to be masked per the current University policy. Zoom registration link is available prior to the seminar for anyone interested in attending the virtually.
Yang Yang is an Assistant Professor at the School of Information Studies, Syracuse University. His principal research interest lies in the areas of data mining/machine learning, computational social science and science of science. Yang is interested in studying how social networks affect individuals' success. Specifically, he has studied the link between the social network and leadership attainment and how social network can help women to achieve placement in leadership. He also focuses on research in the context of science and innovation. He studies the effect of team composition on performance and innovation, as well as the role of media and social media in shaping public access to science.
Yang holds a PhD in Computer Science from the University of Notre Dame. He was a Research Assistant Professor at Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management. His work has been published in academic journals and conference proceedings, such as PNAS, KDD, ICDM, Knowledge and Information Systems, and Scientific Reports. His papers have been mentioned by Forbes, Fortune, The Washington Post, BBC, Psychology Today, The Hill, WIRED, and Harvard Business Review.