The New Jersey Chapter held its 34th annual symposium on June 7 at the University of Medicine and Dentistry of NJ (UMDNJ). The theme was “Big Data, Data Mining, and Data Visualization in the 21st Century: Evolution of Statistical Approaches.”

More than 70 statisticians, representing disciplines from academia to industry, attended the symposium, which included the following talks:

• “From High-Dimensional Data to Big Data” by Han Liu of Princeton University
• “Are Observational Studies Any Good?” by David Madigan of Columbia University
• “Models for Millions” by Bob Stine from the University of Pennsylvania
• “Shaping Cities of the Future Using Mobile Data” by Chris Volinsky of AT&T Research Labs
• “A Split-and-Conquer Approach for Analysis of Extremely Large Data” by Min-ge Xie, Rutgers University

Han Liu, Princeton University, delivers his talk, “From High-Dimensional Data to Big Data.”

David Madigan, Columbia University, delivers his talk, “Are Observational Studies Any Good?”

ASA NJ Chapter Secretary Jing Gong introduces speaker Bob Stine from the University of Pennsylvania. The title of his talk was “Models for Millions.”

Chris Volinsky, AT&T Research Labs, delivers his talk, “Shaping Cities of the Future Using Mobile Data.”

Min-ge Xie, Rutgers University, delivers the talk on “A Split-and-Conquer Approach for Analysis of Extremely Large Data”

ASA NJ Chapter President Steve Ascher delivers concluding remarks.