Event: Conference on Big Data and Network Science


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Thursday, Mar 23rd 2017 at 8:30 am-12:30 pm
IMU Oak Room


Sponsored by Social Science Research Commons, Indiana University Network Science Institute and Indiana University. 

Agenda

8:30-9:00  Light Breakfast

9:00-9:15  Opening Remarks

  • Emily Meanwell, Director, Social Science Research Commons, Indiana University
  • Patricia Mabry, Executive Director, Indiana University Network Science Institute
  • Bernice Pescosolido, Distinguished Professor of Sociology and Co-Director of IUNI

Featured Talks

9:15-9:30  "OSoMe and Misinformation on Twitter" Filippo Menczer, Professor of Informatics and Computer Science

9:30-9:45  "Twibo: Cross Twitter and Weibo Information Mining and Analysis" Xiaozhong Liu, Assistant Professor of Information Science

9:45-10:00  "Learning Statistical Manifolds for Subsequent Inference" Michael Trosset, Professor of Statistics

10-10:15  Flash Talks

  •  "The Impact of Censorship on Tweeting Behaviors"  Onur Varol, School of Informatics and Computing
  • "Social Media Networks of the Olympic Games" Juha Yoon, School of Public Health
  • "Networks of Agreement: A Twitter Discussion on Domestic Violence" Helge Marahrens, Department of Sociology

10:15-10:30  Break

10:30-11:30  Keynote Speech: "Big Data is Not About the Data!" Gary King, The Albert J. Weatherhead III University Professor, Harvard University

Abstract: The spectacular progress the media describes as "big data" has little to do with the data.  Data, after all, is becoming commoditized, less expensive, and an automatic byproduct of other changes in organizations and society. More data alone doesn't generate insights; it often merely makes data analysis harder. The real revolution isn't about the data, it is about the stunning progress in the statistical and other methods of extracting insights from the data. I illustrate these points with a wide range of examples from research I've participated in, including forecasting the solvency of Social Security; reverse engineering Chinese government censorship and fabrication of social media posts; how the same methods can estimate the causes of death in developing countries and understand billions of social media posts; an educational innovation that guarantee that students will do the reading; among others.

11:30-12:15  Open Forum with Invited Discussants

  • Katy Börner, The Victor H. Yngve Professor of Information Science
  • Juan Escanciano, Professor of Economics
  • Hsien-Chang Lin, Assistant Professor of Health Policy and Management
  • Armando Razo, Associate Professor of Political Science
  • Fabio Rojas, Professor of Sociology
  • Stanley Wasserman, Rudy Professor of Statistics, Psychology, and Sociology
  • David Wild, Associate Professor, School of Informatics and Computing

Organizing Committee: Weihua An, Lourdes Gonzalez, Hsien-Chang Lin, Xiaozhong Liu, Patricia Mabry, Ann McCranie, and William McConnell. Contact: weihuaan@indiana.edu.