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Statistical Applications Using Massive and Emerging Data in Public Health, Thirteenth Biennial CDC Symposium on Statistical Methods, May 24-25, 2011Statistical Applications Using Massive and Emerging Data in Public Health Thirteenth Biennial CDC Symposium on Statistical Methods May 24-25, 2011


The short course is full. No more spaces are available for the short course.

Short Course


It has long been recognized that networks of various sorts (e.g., contact networks, transportation networks, etc.) can play an important role in the spread of communicable diseases. At the same time, in the past decade, the study of networks has increased dramatically across the sciences as a whole. Researchers from a wide range of disciplines are more and more involved with the collection and statistical analysis of network-indexed data, and statistical methods and models are being developed in this area at a furious pace. The goal of this workshop is to present an overview of the foundations common to the statistical analysis of network data across the disciplines, from a statistical perspective, with an eye towards topics with particular relevance to disease control. Special attention will be given to topics pertaining to network mapping, network sampling, and network modeling, and to dynamics of network processes.


Eric D. Kolaczyk, PhD, Professor and Director of the Program in Statistics, Department of Mathematics and Statistics, Boston University

Web site:

Eric Kolaczyk was born in 1968 in Chicago, Illinois. He obtained a BS degree in mathematics from the University of Chicago, and MS and PhD degrees in statistics from Stanford University. He has been on the faculty in the Department of Mathematics and Statistics at Boston University since 1998, and was faculty in the Department of Statistics at the University of Chicago before that. He also has been visiting faculty at Harvard University and l'Universite Paris VII.

Prof. Kolaczyk's main research interests currently revolve around the statistical analysis of network-indexed data, and include both the development of basic methodology and inter-disciplinary work with collaborators in bioinformatics, computer science, geography, neuroscience, and sociology. Besides various research articles on these topics, he has also authored a book in this area: Statistical Analysis of Network Data: Methods and Models (Springer, 2009). Prior to his working in the area of networks, Prof. Kolaczyk spent a decade working on statistical multi-scale modeling.

He is a member of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), and a senior member of the Institute for Electrical and Electronics Engineers (IEEE).



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