This workshop provides an overview of current techniques in exploratory data mining for quantitative research in the social and behavioral sciences. Exploratory data mining uses computational methods on large amounts of data in order to construct predictive models of behavior, in contrast to the standard hypothesis testing of many standard statistical techniques. These data mining techniques can be used to model categorical choices, to classify groups, to discover patterns, and to model longitudinal data. Exploratory data mining techniques can be fruitful in most situations where categorical regression or many multivariate analytic techniques are used.
The workshop will be held in Ann Arbor, Michigan (USA) from 8 to 12 June 2015. There are no registration fees for accepted participants. The first ten (10) admitted workshop participants will receive a travel stipend of $500.
Those completing the course will be eligible to compete for two (2) $15,000 awards for innovative uses of SEARCH.
Admission to the course is competitive and seating is limited. Apply through the ICPSR Summer Program Portal.
The application deadline is April 30, 2015.