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National Science Foundation

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Human Networks and Data Science – Infrastructure

Human Networks and Data Science – Infrastructure (HNDS-I). Infrastructure proposals will address the development of data resources and relevant analytic techniques that support fundamental Social, Behavioral and Economic (SBE) research. Successful proposals will, within the financial resources provided by the award, construct user-friendly large-scale next-generation data resources and relevant analytic techniques and produce a finished product that will enable new types of data-intensive research.

Deadline: 

Thursday, February 3, 2022
Thursday, February 2, 2023
Thursday, February 1, 2024
Thursday, February 6, 2025

Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods Dissertation Grant

NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics.

Deadline: 

Tuesday, January 18, 2022
Tuesday, January 17, 2023
Tuesday, January 16, 2024
Tuesday, January 21, 2025

Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods

NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics.

Deadline: 

Tuesday, January 18, 2022
Tuesday, January 17, 2023
Tuesday, January 16, 2024
Tuesday, January 21, 2025

Enabling Secure and Trustworthy Cyberspace (SaTC) CISE-SBE Interdisciplinary Collaborations

The National Science Foundation's (NSF) Secure and Trustworthy Cyberspace (SaTC) program aims to promote research on the fundamentals of security, privacy, and trustworthy cyberspace as a multidisciplinary subject that will lead to new knowledge and approaches to design, build, and operate cyber systems, protect persons, organizations, and existing infrastructure, and motivate and educate individuals about cybersecurity and privacy.

Deadline: 

Friday, December 10, 2021

Revamped Bayesian Inference

This research project will make Bayesian statistical computation much faster. Bayesian methods have not gained much traction in the social sciences, in part because the approach is so computationally intensive. Many researchers who could usefully apply these techniques choose not to do so because the analysis is too costly. This project will improve the computational efficiency of Bayesian methods by harnessing a critical theorem that has long been overlooked by statisticians but proven by one of the twentieth century's greatest mathematicians.

Collaborative Research: Pollution Mitigation and Productivity in Developing Countries

The economies of many developing countries have experienced huge transformations over the past 20 years, but a major cost of development has been air and water pollution. The fact that pollution remains a central problem suggests that it may be very costly to mitigate pollution, in terms of lost productivity and revenues. An opposing view is the "Porter hypothesis" that postulates that environmental policies lead to greater productivity.

Citizen Scrutiny and Government Efforts to Fight Corruption

Corruption in government partly accounts for the slow economic and social progress in many parts of the world. This research will use two projects to investigate how best to efficiently decrease corruption in government contracting. Governments have limited capacity to monitor all aspects of government activity, hence they rely on citizens volunteering information to fight corruption. However, citizens have their own interests and may not possess the same training and capabilities as government workers.

Inequality and Welfare in a Low Rate Environment

The past forty years have been characterized by a secular decline in interest rates and, relatedly, an increase in asset valuations. This proposal consists of two projects that examine the distributional effects of declining interest rates. The first project explores the effect of declining interest rates on wealth inequality. The second examines the welfare implications of declining interest rates by focusing on who gains and who loses from this trend. The project further collects detailed data on high wealth income, and granular data on asset purchases from financial filings and surveys.

Doctoral Dissertation Research in Economics: Residential Segregation and Neighbor-Based Informal Hiring

Place-based job policies, such as informal neighborhood job search, are common tools to promote local job growth and reduce regional economic inequality. It is however not clear what makes a neighborhood good for job search. This research project will study one such mechanism---the use of neighbor networks in job search. It explores which type of neighborhood---segregated or integrated, by race and by education---is more conducive to a successful job search. Disentangling the neighborhood effects on job search is difficult partly because people self-select into neighborhoods.

Doctoral Dissertation Research in Economics: Information Asymmetry in Job Search

Wage gaps across race and gender persist among equally educated individuals, and have been attributed in significant part to differences in behavior during job search. Economic theory suggests that access to information about the labor market influences behavior. If information differs across groups, either in quantity or quality, this can lead to differences in job choice. Across race and gender, unequal access to networks and mentoring has been shown to give rise to these information gaps.

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