Home > Seminars > Dashun Wang - Understanding Success in Science and Technology

Dashun Wang - Understanding Success in Science and Technology


3/3/2016 at 3:30PM


3/3/2016 at 5:00PM


356 Fitzpatrick


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Nitesh Chawla

Nitesh Chawla

VIEW FULL PROFILE Email: nchawla@nd.edu
Phone: 574-631-1090
Website: http://www.nd.edu/~nchawla/
Office: 384 Nieuwland Science Hall


College of Engineering Frank M. Freimann Professor
Dr. Chawla's research interests are broadly in the areas of Big Data: data science, machine learning, network science and their applications social networks, healthcare informatics/analytics, and climate/environmental sciences. He directs the Notre Dame Interdisciplinary Center for Network ...
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Our current approach to success is driven by the belief that predicting exceptional impact requires us to detect extraordinary ability. Despite the long-standing interest in the problem, even experts remain notoriously bad at predicting long-term impact. Success reveals predictable patterns, however, if we start to see it not as an individual but a collective phenomenon: for something to be successful, it is not enough to be novel or appealing, but we all must agree that it is worthy of praise. If we accept the collective nature of success, its signatures can be uncovered from the many pieces of data around us using the tools of network and data sciences. In this talk, I will touch on three different examples of success spanning across science and technology, hoping to illustrate a series of fundamental mechanisms governing success. The uncovered patterns in these studies not only document new degrees of regularities underlying the often noisy and unpredictable complex systems, they also offer reliable measures of influence that may hold direct policy implications.


Seminar Speaker:

Dashun Wang

Dashun Wang

Penn State University

Dashun Wang is Assistant Professor of Information Sciences and Technology at the Pennsylvania State University and Adjunct Assistant Professor of Physics at Northeastern University. Prior to joining Penn State, he was a Research Staff Member at the IBM T.J. Watson Research Center. Dashun received his PhD in Physics in 2013 from Northeastern University, where he was a member of the Center for Complex Network Research. From 2009 to 2013, he had also held an affiliation with Dana-Farber Cancer Institute, Harvard University as a Research Associate. He received his B.S. degree in Physics from Fudan University in 2007. Dashun is a recipient of the AFOSR Young investigator award (2016).

Dashun leads a group of highly interdisciplinary researchers who are extremely passionate about data. Through the lens of new and increasingly available large-scale datasets, he aims to use and develop tools of network science to help improve the way in which we understand the interconnectedness of the social technical and business world around us. His research has been published in general audience journals such as Nature and Science as well as top specialized venues in computer science and physics, and has been featured in Nature, Science, The Economist, MIT Technology Review, The Boston Globe, ORF, Physics World, among other major global media outlets.