Hi all, Our first virtual meeting of the semester will be Wednesday, September 9, where we will hear Matthew Blackwell <https://www.mattblackwell.org/> (Harvard University) presents research on "Noncompliance and instrumental variables for 2^K factorial experiments." *Abstract*: Factorial experiments are widely used to assess the marginal, joint, and interactive effects of multiple concurrent factors. While a robust literature covers the design and analysis of these experiments, there is less work on how to handle treatment noncompliance in this setting. To fill this gap, we introduce a new methodology that uses the potential outcomes framework for analyzing 2^K factorial experiments with noncompliance on any number of factors. This framework builds on and extends the literature on both instrumental variables and factorial experiments in several ways. First, we define novel, complier-specific quantities of interest for this setting and show how to generalize key instrumental variables assumptions. Second, we show how partial compliance across factors gives researchers a choice over different types of compliers to target in estimation. Third, we show how to conduct inference for these new estimands from both the finite-population and superpopulation asymptotic perspectives. Finally, we illustrate these techniques by applying them to two field experiments—one on the effects of cognitive behavioral therapy on crime and the other on the effectiveness of different forms of get-out-the-vote canvassing. New easy-to-use, open-source software implements the methodology. A copy of the paper can be found here <https://www.mattblackwell.org/files/papers/factorial-iv.pdf>. *Zoom link*: https://harvard.zoom.us/j/99424949004?pwd=aWtPNFM3ZzFYbWxIMXNoZDlyUElVZz09 *When*: Wednesday, September 9 at 12noon -- 1:30pm. The information and schedule of the seminar can be found on our website <https://projects.iq.harvard.edu/applied.stats.workshop-gov3009/home> and Google calendar https://bit.ly/30QZJ9k. Best, Soichiro Yamauchi -- Soichiro Yamauchi PhD candidate Harvard University URL: https://soichiroy.github.io/