Dynamical Systems Analysis (Salt Lake City, Utah)

Instructor(s):

  • Jonathan Butner, University of Utah
  • Brian Baucom, University of Utah

Dynamic systems models provide a unique lens for studying change over time; the focus in these models is on how fluctuations about the mean form patterns that emerge over time, how stable these patterns are, how stability is affected by different variables in the system, and how these patterns change under different conditions. Research focused on how individuals, families, groups, and communities grow and change over time is increasingly recognizing the vast potential of dynamic systems models for advancing understanding of complex temporal phenomena.

This five-day short course includes a balance of didactic instruction in background material and guided practice in estimating and interpreting models.

Prerequisite: No previous experience with dynamical systems modeling is necessary, and no specialized statistical knowledge or training is needed beyond a basic understanding of linear regression.

Software: Course material will utilize SPSS and R software packages; code for conducting course examples in Stata and SAS will also be provided

Fee: Members = $1700; Non-members = $3200

Tags: dynamic systems, complexity, time series

Course Sections

Section 1

Location: University of Utah -- Salt Lake City, Utah

Date(s): May 14 - May 18

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Jonathan Butner, University of Utah
  • Brian Baucom, University of Utah

Syllabus: