Past Grantees and Fellows

The conference "Kings & Dictators: The legacy of monarchy and the new authoritarianism in Asia" was held April 13-14, 2018. It included both external invitees and Cornell speakers, and attracted a large Cornell audience, including students in a course timed to coincide with it.

Cristina Florea completed a full draft of her book manuscript, 'Crossroads of Empire: Revolutions and Encounters at the Eastern Frontiers of Europe.' The book reveals how crucial interactions between states and local societies in the East European borderlands have been to the evolution and development of the modern state in the 19th and 20th centuries.

Does the superstar firms’ adoption of AI foster or deter other firms’ adoption of AI? There are two competing mechanisms: imitation and competition. By using comprehensive job posting data and a novel instrumental variable, this study will examine the empirical salience of these competing effects of superstar firms on the AI adoption process.

This conference explores how women effected change across Asia engaging in everyday practices of food production, handling, preparation and consumption; participants will bring to light how such “domestic” practices had significant impact on “public spaces,” and created spaces for women’s autonomy and agency.

Insurance is a key tool for disaster recovery. Current research poorly explains how homeowners address complicated uncertainties and inequities in purchasing and using insurance. We will assess available insurance policy and claims datasets and examine homeowners’ experiences to better understand insurance decisions and their uneven impacts.

This research builds upon recent work illuminating that biographical elements of a resource’s discovery can influence consumer preference for otherwise identical resources. Specifically, this project explores how consumer preference for resources is influenced by awareness of whether the discoverer was a human or a machine.

Gangrade recruited research participants for a virtual study exploring factors that influence snacking behaviors among adolescents from low-income, urban environments. The funding enabled her to conduct 30 phone interviews with adolescents from low-income neighborhoods in NYC during the Covid-19 pandemic.

We evaluate how the choice of policy in ranking college applications affects different sociodemographic groups. Training on four years of application and decision data, we compare ML algorithms with different features removed (e.g., race/ethnicity, major preference) to understand how this changes the applicant ranking.

NYC matches students to public high schools through an algorithm. We study the process’s design details: what drives educational inequity? What is the role of students’ ranked lists or school policies in prioritizing grades or geography? Our analyses will inform student-side interventions and policy recommendations.

Chinese newsvendor (stocking level while facing random demand) decision makers focused more on salvage value (money that can be recouped from leftover inventory) and more willing to come up with a numerical order quantity that was different from the ones mentioned in the task.

This project synthesizes concepts from political science and computational linguistics to guide the development of tools valuable for their capacity to promote critical thinking about how controversial issues are variously framed by different parties. 

Government support for clean energy innovation is critical to reducing the costs of addressing climate change. We will use novel data and empirical methods to study the impact of Department of Energy research and development funding. Our results will inform energy innovation policy.