Douglas Rivers (Stanford) presents
What the Hell Happened?
The Perils of Polling in the 2016 U.S. Election
Most polls at the end of the 2016 U.S. Presidential election campaign showed Hillary Clinton leading Donald Trump and she did indeed win the popular...
Long-term causal effects via behavioral game theory
Random experiments are the gold standard in reliably comparing the causal effect of switching from a baseline policy to a new policy on socio-economic platforms. One critical shortcoming of classical...
Abstract: To date, evidence on pay-for-performance has been mixed. When pay-for-performance policies improve health outcomes, researchers should evaluate whether these health gains are worth the incremental costs (financial incentives and increased...
Abstract: In many social science experiments, subjects often interact with each other and as a result one unit's treatment influences the outcome of another unit. Over the last decade, a significant progress has been made towards causal inference in the...
Title: "Data, Data Science, and The Research University"
Abstract: In our talk we will discuss some of the challenges that may arise while developing a “data science” approach to institutional research in the university setting. Despite these hurdles, with...
Abstract: In 1969, economist Thomas Schelling introduced a landmark model of racial segregation in which individuals choose residences based on the racial composition of the corresponding neighborhoods. Simple simulations of Schelling's model suggest...
High-throughput screening of crystalline porous materials
Chris Rycroft, Harvard University
Abstract: Crystalline porous materials, such as zeolites, contain complex networks of void channels that are exploited in many industrial applications, such as...
Title: Robust Post-Matching Inference
Abstract:
Nearest-neighbor matching (Cochran, 1953; Rubin, 1973) is a popular nonparametric tool to create balance between treatment and control groups in non-experimental data. As a preprocessing step for regression...
Title: Multivariate Problems in the Genetic Analysis of Complex Disease
Abstract: Complex diseases have multiple underlying contributing factors, both genetic and environmental. In addition, the disease syndrome is often characterized by numerous clinical...
Title: The Reasonable Effectiveness of Roles in Complex Networks
Abstract: Given a network, how can we automatically discover roles (or functions) of nodes? Roles compactly represent structural behaviors of nodes and generalize across various networks...
