Listings

***$195 for Full-time Students*** Two-day Online Short Course (March 27-28, 2025). This two-day course provides an applied introduction to directed acyclic graphs (DAGs) for causal inference. The primary goal is to teach the effective use of causal DAGs in applied research. Course participants learn to (i) draw valid causal graphs, (ii) determine the most promising causal identification strategy, (iii) choose valid sets of control variables, (iv) estimate the average causal effect, (v) assess the direction and extent of any remaining confounding bias, and (vi) identify endogenous sample selection bias and other collider bias issues that threaten causal inference.

***$195 for Full-time Students*** Two-day Online Short Course (May 15-16, 2025). The purpose of this two-day course is to introduce methods for analyzing social network data, focusing on the types of network data common in the social sciences. Social networks are defined by a set of relationships among a group of individuals and are common in any discipline in which individuals interact. Examples include friendship among a group of people, collaborations among employees in an organization and co-authorship among researchers in a field. Analyzing how and why individuals interact can help researchers better understand both the system as a whole as well as how these interactions impact systemic change.