Please join us to hear Neil Silveus present "A Brief Guide to Incorporating Casual Methods in Science Research"

Separating causal relationships from correlations in data is crucial for quantitative social science research, particularly when evaluating policy or testing theory. The number of methodologies used to estimate causal relationships has grown rapidly over the past two decades as have their usage across the social sciences. In his Frost Center Colloquia presentation, Neil Silveus will provide a high level overview of recent causal inference techniques and discuss ways in which you might consider incorporating them into your own research. Come ready with your current research questions for discussion!