11May 2014
IPSA-NUS Summer School in Social Science Research Methods, Singapore June-July 2014
20:26 - By Hal Colebatch
Registrations for the third Annual IPSA-NUS Summer School for Social Science Research Methods at the National University of Singapore are now open. The Summer School will be held June 30-July 11, 2014.
For 2014, a number of new, basic and advanced courses have been added to the existing Methods School roster. Overall, the Methods School offers twelve courses in quantitative, qualitative, and formal methods. All of these courses focus on both the theory and practice of social science research and provide high-quality training in diverse, state-of-the-art methods and techniques by outstanding and highly experienced international faculty.
The Summer School offers two weeks of rigorous training in social science research methods and truly global networking opportunities. Acquire cutting-edge quantitative, qualitative, and formal methods skills, meet future collaborators and co-authors, and make new friends with similar research interests from all over the Asia-Pacific, the U.S., Europe, and beyond. Campus accommodation is available for summer school participants at affordable prices. It will be held in one of the world's most fascinating cities: the Lion City of Singapore!
Further information can be found at http://methods-school.nus.edu.sg/index.html.
Any inquiries can be directed to methods-school@nus.edu.sg
IPSA-NUS Summer School 2014 Courses
Introduction to Applied Data Analysis Tobias Hofmann, University of Utah
Case Study Analysis Cameron G. Thies, University of Arizona
Discourse and Visual Analysis Terrell F. Carver, University of Bristol
Experimental Methods Rebecca B. Morton, New York University
Game Theory Stephen Chaudoin, University of Pittsburgh
Maximum Likelihood Estimation Randy T. Stevenson, Rice University
Mixed Methods Max Bergman, University of Basel
Qualitative Comparative Analysis Dirk Berg-Schlosser
Regression Analysis Guy D. Whitten, Texas A&M University
Spatial Analysis Aya Kachi, Swiss Federal Institute of Technology
Survey Methods Bruno Cautrès, Sciences Po
Quantitative Text Analysis Will Lowe, University of Mannheim”