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CS Seminar| Scaling Computational Social Science: Enabling Collective Learning and Discovery

Start Date: October 4, 2017
End Date: October 4, 2017

By Professor Nitesh Vijay Chawla (Notre Dame University, USA)
 
The individuals connect and interact in varied ways to form the structural backbone that drives society, innovation, and impact. These varied and diverse inter-connections form complex and heterogeneous networks, and positing an important research questions on how we can model them to drive a better understanding and predictability of the formation and evolution of such networks. I will present our research that answers these questions by developing novel computational models to discover the social strategies that inform network formation and evolution, and developing a novel structural diversity theory to explain the process behind link formation. We leverage these social strategies to learn models for link prediction. I will also discuss how modeling heterogeneous networks, derived from Big Data, can help explain societal impact through a understanding and predicting scientific impact of scholars. Finally, I will present our work on representation learning models for embedding heterogenous networks, such that we can discover feature representations that are not possible through human-driven feature engineering tasks. I will end with some grand challenge problems in computational social sciences at the nexus of big data, networks, social sciences, and machine learning, which truly require a multi-disciplinary approach to achieve success.
 
Biography: Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering, and director of the research center on network and data sciences (iCeNSA) at the University of Notre Dame. He started his tenure-track career at Notre Dame in 2007, and quickly advanced from assistant professor to an endowed (chaired) full professor position in 2016 (nine years). He has brought in over $26M dollars in research funding to Notre Dame. He has received numerous awards for research, innovation, and teaching. He is the recipient of the 2015 IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award, National Academy of Engineering New Faculty Fellowship, 1st Source Bank Technology Commercialization Award, and his PhD dissertation also received the Outstanding Dissertation Award. His papers have received several outstanding paper nominations and awards. In addition, his students are also recipient of several honors, including Honorable Mention for Outstanding Dissertation Award at KDD’17. In recognition of the societal and impact of his research, he was recognized with the Rodney Ganey Award and Michiana 40 Under 40. He is a two-time recipient of Outstanding Teaching Award at Notre Dame. He is a Fellow of the Reilly Center for Science, Technology, and Values;, Fellow of the Institute of Asia and Asian Studies; and Fellow of the Kroc Institute for International Peace Studies at Notre Dame. He is the founder of Aunalytics, a data science software and solutions company.
 

More Information:

For more info contact: Prof.Xiangliang Zhang: email: xiangliang.zhang@kaust.edu.sa
 
Date: Wednesday 4th Oct 2017
Time:12:00 PM - 01:00 PM
Location: Building 9 ,Hall 2 Room 2325
Refreshments: Light lunch will be available at 11:45AM.