The CCS Members who are interested in Social Systems Informatics (led by Program Director Daniel Messinger) have launched a Speaker Series. As the first guest, the group is pleased to present a trio of events around Brian Uzzi: The main event, a TALK on 2/14 entitled “Knowledge and Social Networks that Predict Breakthroughs and Professional Success in Science and Technology” will be preceded by a JOURNAL CLUB session on 2/12, and a ROUND TABLE with Prof. Uzzi earlier in the day on 2/14. (Please Note: Prof. Uzzi will not be present for the 2/12 journal club session.)
Brian Uzzi is a globally recognized scientist, teacher, consultant, and speaker on leadership, social networks, and new media. Prof. Uzzi is the Richard L. Thomas Professor of Leadership and Organizational Change at the Kellogg School of Management (Professor, Management and Organizations), and Professor of Sociology and Professor of Engineering at the McCormick School of Engineering at Northwestern University.
Brian Uzzi Journal Club (Please Note: Prof. Uzzi will not be present for this event.)
Join us to discuss a selection of Brian Uzzi’s papers on how individual behavior and team composition are connected with measures of success. Come to kickstart the conversation, examine ideas, or formulate questions, in preparation for the “Should I Collaborate With You?” Roundtable with Dr. Uzzi on February 14th. All are welcome (whether or not you are available for the main event afternoon TALK session). The Science paper and his 2016 PlosOne papers should be read before attending the session.
- Uzzi B, et al., Atypical combinations and scientific impact. Science (New York, N.Y.). 342: 468-72. http://science.sciencemag.org/content/342/6157/468
- Liu B, Govindan R, Uzzi B. Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders. Plos One. 11: e0144945. PMID 26765539 DOI: 10.1371/journal.pone.0144945
330G Ungar Bldg.
||10:00 AM-12:00 PM
“Should I Collaborate With You?” Team Science Round Table Discussion with Prof. Brian Uzzi
A unique opportunity to speak with Dr. Uzzi in a small group setting on teamwork, collaborations and individual behavior, informed by the empirical literature on team science and decision making.
330G Conf. Room
Brian Uzzi TALK: “Knowledge and Social Networks that Predict Breakthroughs and Professional Success in Science and Technology”
“I present a series of large scale computational studies investigating the knowledge and social networks that predict breakthroughs and professional success in science and technology. Results are based on analyses of 28 million papers, all 5.7 million U.S. patents, and the largest genealogical database on 10s of thousands of mentor-protégé relationships in chemistry, math, medicine, and physics from 1960 to today. The scope of the data, which covers all fields of science and technology for the entire last half century of time worldwide, suggest the properties of knowledge and social networks identified in the study are universal empirical regularities. “
230C-D Ungar Bldg.