October 12, 2016
Goergen 101
Event Sponsor:

2016-2017 Seminar Series

Presented by the Rochester Center of Excellence in Data Science


2016 Presidential Election: Donald Trump De-mystified using Data Science

Jiebo Luo, Ph.D.

Professor of Computer Science, University of Rochester

Abstract: With social media being increasingly utilized to boost political campaigns, Donald Trump looms large in the 2016 US Presidential Election. With the ability to track the Twitter followers of the major candidates in the running, we conduct a series of in-depth, fine-grained, data-driven analyses, including 1) Tactics and Tallies: Inferring Voter Preferences in the 2016 U.S. Presidential Election using Sparse Learning, 2) Will Sanders Supporters Jump Ship for Trump? Fine-grained Analysis of Twitter Followers, 3) Pricing the Woman Card: Gender Politics between Hillary Clinton and Donald Trump, and 4) Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump?These studies represent a new paradigm for studying political campaigns and provide valuable insight at unprecedented scales and in real-time.

Biography: Professor Jiebo Luo joined the University of Rochester in 2011 after 15+ years at Kodak Research. His research spans computer vision, machine learning, data mining, social media, and biomedical informatics. He has authored 300+ technical papers and 90+ US patents. He has served as the program chair of ACM Multimedia 2010, IEEE CVPR 2012, ACM ICMR 2016, and IEEE ICIP 2017, as well as on the editorial boards of the IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Trans. on Multimedia (TMM), Patter Recognition, Machine Vision and Applications, and ACM Trans. on Intelligent Systems and Technology (TIST). He is a Fellow of the SPIE, IEEE, and IAPR.


Wednesday, October 12, 2016

6:15 Talk | Reception to follow

Goergen 101 (River Campus)