Title: On linguistic approaches to social problems Abstract: In fields like natural language processing, social problems are often operationalized as linguistic problems that can be analyzed and addressed with linguistic
Title: Data science and machine learning methods to improve social equity Abstract: Our society remains profoundly inequitable, due in part to biases in human and algorithmic decision-making. Addressing this, we
Title: Beyond Prediction: Identifying Latent Treatments in Images Abstract: Images are a rich and crucial element of political communication. The complexity of the information they convey creates challenges for the
Title: A measure of nationalization: not all subpresidential elections are created equal Abstract: Scholars have documented the upward trend of nationalization within American politics, but frequently overlook the significance of
Title: "Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance" Abstract: "We develop a framework to design and analyze partial population experiments, a generalization of the
Title: Using Covariates to Improve Inference in the Preference-Incorporating Choice and Assignment (PICA) Design for Randomized Controlled Trials (joint work with Adam Kaplan) Abstract: A key challenge in randomized controlled
Dr. Jessica Preece, Editor of Political Behavior will be here to answer your questions about journal publishing. Dr. Preece received her PhD from UCLA in 2010 and joined Brigham Young
Title: Simpler Machine Learning Models for a Complicated World Abstract: While the trend in machine learning has tended towards building more complicated (black box) models, such models have not shown
