National Science Foundation

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Credibility in Persuasion

This award funds research in economic theory. The research team seeks to use tools from game theory to model and analyze situations in which persuasion, credibility, and information design are important. In many different kinds of economic (and social) interactions, one or more parties provides information to others, but also has an interest in the outcome. For example, a firm marketing a new product provides information about the product's features and benefits to possible buyers, but obviously the firm also wants to make the sale.

Human Networks and Data Science - Core Research

The Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research.

Deadline: 

Thursday, January 12, 2023
Thursday, January 11, 2024
Thursday, January 9, 2025

Security and Preparedness

The Security and Preparedness (SAP) Program supports basic scientific research that advances knowledge and understanding of issues broadly related to global and national security. Research proposals are evaluated on the criteria of intellectual merit and broader impacts; the proposed projects are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented.

Deadline: 

Monday, August 15, 2022
Tuesday, January 17, 2023
Tuesday, August 15, 2023

Accountable Institutions and Behavior

The Accountable Institutions and Behavior (AIB) Program supports basic scientific research that advances knowledge and understanding of issues broadly related to attitudes, behavior, and institutions connected to public policy and the provision of public services. Research proposals are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented.

Deadline: 

Monday, August 15, 2022
Tuesday, January 17, 2023
Tuesday, August 15, 2023

Doctoral Dissertation Research in Economics: Do Identity Concerns Affect Labor Supply?

A sense of identity can be a powerful influence over behavior, including work. Workers who identify themselves as belonging to one group may regard a job associated with a different group as a violation of their identity, especially if the job is associated with a group perceived to have lower social status. This identity channel may partly explain why some groups are over- or under-represented in some occupations. The identity-related mis-representation of groups in occupations leads to a misallocation of talent and cause economic inefficiency.

Doctoral Dissertation Research: On Terror and Trauma: Governance, Law and Post Traumatic Stress Syndrome

While contestation of the Post-Traumatic Stress Disorder paradigm is as old as the diagnostic category itself, the debate about what PTSD is and how to compensate victims remains unsolved to this day. Existing scholarship has examined how community organizing for compensation rights by Vietnam veterans, rape survivors, and high-risk workers has influenced the recognition of PTSD as a diagnostic category. But the intertwined juridical and scientific procedures through which PTSD evidence is indeed produced have received scant attention from the social sciences.

Doctoral Dissertation Research: Labor Dynamics, Migration, and Intergenerational Community Networks

How do social and historical factors direct migration? This project, which trains a graduate student in methods of rigorous, empirical data collection and analysis, explores how migrants form and sustain communities through histories of connected movement. In tracking a South-South migration route, the researcher aims to ascertain the historical processes by which migrants are channeled into specific forms of labor in different places.

RIDIR: Collaborative Research: Bayesian analytical tools to improve survey estimates for subpopulations and small areas

In this project, a set of tools will be built for in-depth analysis of survey data, making use of and extending statistical methods for estimation for small subgroups. Classical methods for surveys are focused on aggregate population-level estimates but we can learn much more using small-area estimation. The goal of this project is to build a user-accessible platform for modeling and visualizing survey data that would give estimates for arbitrary subgroups of the population, along with visualization tools to display estimates of interest.

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