Big Data for Advertising


Big Data for Advertising Research and Education, AAA Preconference Event, Atlanta, 27 Mar 2014, Chairs Hairong Li, Michelle R. Nelson, Jisu Huh and Harsha Gangadharbatla


Pre-Conference for the 2014 AAA Conference
Atlanta, GA; March 27-30, 2014


  • Hairong Li, Michigan State University
  • Michelle R. Nelson, University of Illinois at Urbana-Champaign
  • Jisu Huh, University of Minnesota
  • Harsha Gangadharbatla, University of Colorado Boulder

This full-day pre-conference on March 27, 2014 consists of four 90-minute sessions and covers the major areas of big data for advertising research and education. The first session will focus on the issues of data acquisition by exploring different methods, approaches and techniques in data tracking, collection and aggregation. The second session will explore the methodological implications of big data for advertising research through exemplifying empirical studies. The third session will introduce computational advertising as an innovative use of big data in advertising education. And the fourth and last session will be for vendors to demonstrate useful software programs, applications and tools for data analysis and visualization. Panelists from different disciplines and parts of the world should make the pre-conference an ideal forum for researchers who are interested in big data.

More information at

Visit the American Academy of Advertising Web site to register:

Thank you,

Hairong, Michelle, Jisu, and Harsha


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