Frontiers in Social Sciences & Statistics (F06-W07)

Frontiers in Social Sciences & Statistics

Frontiers in Social Sciences & Statistics

We are pleased to announce that this year's Research Theme Semester will run through both the Fall and Winter Semesters. This research theme year will feature contemporary developments in quantitative methods for the social sciences through a series of lectures and tutorials. Over the last two decades, there have been major advances in quantitative methods, including techniques for modeling and data analysis, computing, algorithms, and software. The recent gains in computing power have led to considerable research on computationally-intensive methods for modeling and analysis, leading to flexible techniques that are less reliant on restrictive assumptions. There have also been exciting developments in the area of Bayesian modeling, inference, and computing that are of considerable interest to social science research. In addition, the massive amounts of data that are now being collected routinely have driven research on new analysis techniques and scalable algorithms for dealing with large data sets. We have seen the emergence of new areas such as data mining and machine learning that are popular in engineering and information sciences but are equally relevant to the social sciences.

The theme year will bring faculty and students working on quantitative methods together with those from the social sciences to discuss these and other developments, identify research opportunities and common interests, and develop collaborations. There are many units across the University of Michigan colleges/schools with considerable interest in quantitative methods for the social sciences:

LSA: Anthropology, Communications, Economics, Political Science, Psychology, Sociology, and Statistics
Public Health:
Biostatistics and Epidemiology
School of Business
School of Education
School of Public Policy
Institute for Social Research

Below are links to tentative lectures and tutorials that will be given. Updates will be made on the website as they become finalized. The lectures will be followed by a reception that will give attendees ample opportunity to meet other faculty and students and discuss problems of mutual interest.

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