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Mid-Career Advancement

An academic career often does not provide the uninterrupted stretches of time necessary for acquiring and building new skills to enhance and advance one’s research program. Mid-career scientists in particular are at a critical career stage where they need to advance their research programs to ensure long-term productivity and creativity but are often constrained by service, teaching, or other activities that limit the amount of time devoted to research.

Deadline: 

Monday, February 1, 2021
Monday, February 7, 2022
Monday, February 6, 2023
Monday, February 5, 2024
Monday, February 3, 2025

RAPID: Flexible, Efficient, and Available Bayesian Computation for Epidemic Models

Decisions about coronavirus response are necessarily based on statistical models of prevalence, transmission risks, case fatality rate, projection of future spread of infection, and estimated effects of medical and social interventions. Much of this modeling and inference is being done using the Bayesian framework, an approach to statistics that is well suited to integration of information from different sources and accounting for uncertainty in predictions that can be input into decision analysis.

Collaborative Research: PPoSS: Planning: Scalable Systems for Probabilistic Programming

Statistical methods have had great successes for exploring data, making predictions, and solving problems in a wide range of problems. But in the world of big data, methods need to be scalable, so as to handle larger problems while modeling the real-world problems of messy and nonrepresentative data. The project?s novelties are developments in software and hardware facilitating full-stack integration of Bayesian inference to allow complex and realistic models to be fit to large datasets.

Doctoral Dissertation Research in Economics: The Social Dimension of Quality

Why do consumers willingly pay more for brand name products compared to non-branded products even though the two have the same attributes. This doctoral dissertation research in economics (DDRIE) research project will use economic theory and experimental methods to investigate the social network source of value for a product. The researchers argue that people pay more for a product to signal prestige or because people they look up to consume that product. The researchers will collect data on a number imported and domestically produced consumer goods to test this theory.

Collaborative Research: Veto Bargaining: Delegation and Non-Coasian Dynamics

This award funds research on the topic of veto bargaining. Veto bargaining concerns situations in which one agent or group can make proposals but another must approve them. Applications can be found in many areas of the social sciences: legislatures (e.g., U.S.

Factor Based Imputation of Missing Data

Missing observations occur in physical and social science research; Missing observations may arise from people not responding to question,; changes in data definitions, technology of data collection, and natural disasters and wars, among others. Many methods have been proposed to impute the missing observations; these methods often impose restrictive assumptions about the nature of the missing values, with missing at random being the most common. Though they work well in practice, the theoretical properties of the imputed data are not well understood.

Interventions on Diffusion Processes

This award funds research in economic theory. The project seeks to improve our understanding of how social networks shape the spread of opinions, products, and ideas. The core objective is to turn insights from theoretical models into practical guidance on how to conduct targeted seeding, how to design regulations for social media, and how to advertise new products with uncertain quality. The award funds three projects. The first project will develop a framework to study how best to target individuals based on their network positions in order to spread a new idea or innovation.

Doctoral Dissertation Research in Economics: The Consequences of Welfare Reform: A Case Study in Michigan

This research will study the effects of losing access to welfare (cash assistance) by taking advantage of a unique welfare reform policy in Michigan that swiftly and unexpectedly removed eligibility from tens of thousands of families from the Temporary Assistance for Needy Families (TANF) program. This project will gather detailed administrative data from the Michigan Department of Health and Human Services (MDHHS) on welfare recipients and their families and link it to a large credit bureau data for the investigation.

Doctoral Dissertation Research: Governing the Uncommons: The Impact of Technological Change on International Law

The idea that law struggles to keep pace with technological change has in recent years become a trope. New technologies convey social benefits but also unexpected potential harm. This is particularly troubling in the context of international law, where military technological breakthroughs can disrupt multilateral consensus about who owes whom what. Puzzlingly, old laws are often robust to disruptive technological change, even when there are strong incentives for powerful parties to push for overhaul.

Doctoral Dissertation Research: Forgive Us Our Debts: Market Expansion, Ethno-Racial Boundaries, and the Democratization of Bankruptcy

Bankruptcy has long been a locus of struggle over whom is morally worthy of an economic rebirth. Early twentieth century America, as a key period of expanding credit markets and the institutionalization of bankruptcy, wrestled with these tensions. In particular, the Bankruptcy Act of 1898 unexpectedly resulted in skyrocketing personal bankruptcy filing rates, which helped to solidify the perception of bankruptcy as a means for the working person?s economic rebirth.

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