Introductory & advanced network analysis workshops: May 8-19, 2017 in Ann Arbor

April 13, 2017

Introductory & advanced network analysis workshops: May 8-19, 2017 in Ann Arbor

The ICPSR Summer Program is offering two upcoming workshops for anyone interested in learning more about network analysis:

Network Analysis: An Introduction
May 8-12, 2017  |  9 a.m.–5 p.m.  |  Ann Arbor, Michigan
Instructor: Ann McCranie (Indiana University)

Network Analysis: Statistical Approaches
May 15-19, 2017  |  9 a.m.–5 p.m.  |  Ann Arbor, Michigan
Instructor: John Skvoretz (University of South Florida)

Network analysis is an increasingly used method for describing and modeling relationships between people, groups, agencies, businesses, organizations, nations, or other units of interest. Network analysis is used widely in the social and behavioral sciences, as well as in the health sciences, communications, literature, history, business management, animal behavior, linguistics, and biology. Network analysis can be applied to an array of topics across a wide range of academic disciplines and practical research areas. It has been used to analyze: social media communications; political campaigns; disease transmissions; personal relationship interactions; business partnerships; political connections among individuals, groups, and institutions; sociolinguistic variation; regional and international alliances; and private marketing strategies.

The ICPSR Summer Program is offering two upcoming workshops for anyone interested in learning more about network analysis:

Network Analysis: An Introduction
May 8-12, 2017  |  9 a.m.–5 p.m.  |  Ann Arbor, Michigan
Instructor: Ann McCranie (Indiana University)

Network Analysis: Statistical Approaches
May 15-19, 2017  |  9 a.m.–5 p.m.  |  Ann Arbor, Michigan
Instructor: John Skvoretz (University of South Florida)
“Network Analysis: An Introduction” presents an introduction to various concepts, methods, and applications of social network analysis. “Network Analysis: Statistical Approaches” covers advanced statistical methods for analyzing social network data, focusing on testing hypotheses about network structure (e.g. reciprocity, transitivity, and closure), the formation of ties based on attributes (e.g. homophily), and network effects on individual attributes (social influence or contagion models).

You can register for one or both workshops. The registration fee for each workshop is $1,700 (for current U-M faculty, staff, and researchers). Please note that we are offering a special package deal for both workshops. Register for both workshops, and the total registration fee is $2,500 (that's more than 25% off!).

For more information and to register, visit icpsr.umich.edu/sumprog or contact the ICPSR Summer Program at sumprog@icpsr.umich.edu or (734) 763-7400.