Big Data and the 2016 Race for President
Wednesday, November 2
Noon - 1 p.m. ET
Led By: Marc Meredith
Associate Professor, Department of Political Science;
School of Arts and Sciences
About this session
Over the last 20 years, through the creation of models and simulations, candidates have been striving to anticipate and predict the will of the voting public. Mobilization, persuasion strategies, and data mining of voter registration files are just a few of the newest tactics. Implementing these strategies in concert with social media and mobile technology has become the latest challenge on the political landscape. Learn how the shrewd use of analytics and big data can turn the tide of an election.