Data Science Seminar Series

Temple University’s Data Science Institute seeks to connect multiple disciplinary perspectives, including but not limited to computer science, statistics, engineering, medicine, computational social sciences, biology, genomics, and business to harness the potential of data science. To promote the interdisciplinary nature of this research theme, the Data Science Institute has begun hosting a seminar series, bringing notable researchers from around the world to facilitate the exchange of ideas, and to stimulate more quantitative research in this challenging and important area.If you are interested in attending a seminar, or would like to participate by serving as a speaker for the Data Science Seminar Series, please contact
DateSpeakerTitleTime and LocationFurther Details
Friday, May 5, 2017Brett Danaher, Chapman University"Using Content Genome to Predict Demand for Television Contest"1:30 - 3:00 pm Alter Hall, Room 505
Friday, April 14, 2017Ramkumar Janakiraman, University of South Carolina"The Effect of Data Breach Annoucement on Customer Behavior: Evidence from a Natural Experiment"1:30 - 3:00 pm Alter Hall, Room 378
Friday, April 14, 2017Sudip Bhattacharjee, University of Connecticut School of Business"Smart Grid Balancing: Impact of Information Transparency and Social Values on a Public Good Infrastructure"10:30 - 12:00 pm Alter Hall, Room 378
Thursday, April 6, 2017Xue Bai, University of Connecticut School of Business"Utility-Based Link Recommendation for Online Social Networks"9:30 - 11:00 am Alter Hall, Room 378
Friday, March 24, 2017Edo Airoldi, Harvard University"Experimental Design and Casual Inference on Social Networks and Social Media Platforms"11:00 - 12:30 pm Speakman Hall, Room 109C
Tuesday, February 21, 2017Tedi Skiti, Duke University"Strategic Technology Adoption and Entry Deterrence in the U.S. Local Broadband Markets"10:00 - 11:30 am Alter Hall, Room 505
Monday, February 1, 2017Konstantin Bauman, New York University"Recommending Products with the Most Valuable Aspects Based on Customer Reviews"10:00 - 11:30 am Alter Hall, Room 378
Monday, January 30, 2017Kuang-Yao Lee, Yale School of Public Health"On Additive Conditional Independence for High-Dimensional Statistical Analysis"10:00 - 11:30 am Alter Hall, Room 378
Monday, January 27, 2017Donglin Zeng, University of North Carolina"Personalized Medicine Discovery Through Machine Learning"9:30 - 11:00 am Alter Hall, Room 378
Monday, January 23, 2017Jessica Clark, New York University"Who's Watching TV"10:00 - 11:30 am Alter Hall, Room 505
Monday, January 16, 2017Subodha Kumar, Texas A&M University"Business Analytics Issues in Multi-Channel Retailing"10:00 - 11:30 am Alter Hall, Room 378
Friday, February 19, 2016Foster Provost, New York University"The Predictive Power of Massive Data About Our Fine-Grained Behavior"10:00 – 11:30 am Science Education and Research Center, Room 306
Friday, January 15, 2016Peter Fader, University of Pennsylvania“Customer Valuation from Inside and Out”10:00 – 11:30 am Undergraduate Commons, Alter Hall 133
Friday, November 6, 2015Pedro Ferreira, Carnegie Mellon University"Recommender Systems and Consumer Welfare: Results from a Randomized Experiment in Video-on-Demand"9:30 – 11:00 am Speakman Hall 113
Tuesday, September 29, 2015Ravi Bapna, University of Minnesota"Analyzing the Impact of Incentive Structure on the Diffusion of Mobile Social Games: A Randomized Field Experiment"10:00 – 11:30 am Frederic Fox Boardroom, Alter Hall 378