Industry

NSF Announces Analytics for Equity Initiative

December 7, 2022 2352

The National Science Foundation (NSF) has announced the Analytics for Equity Initiative for social, economic and behavioral sciences research which examines equity-related topics for public benefit via federal data and scientific advances. The Initiative seeks to address issues in the thematic areas of Equity of access to STEM Research and Education Opportunities; Environmental Stressors and Equity; Equity in Service Delivery and Supports; Health Equity in the Wake of Climate Change; and Equity Considerations for Workplace Safety and Workers.

The initiative results from a partnership between the NSF, the White House Office of Science and Technology, the Centers for Disease Control and Prevention, the Environmental Protection Agency and other federal agencies.

Proposed budgets cannot exceed $75,000 and selected researchers are expected to engage with relevant stakeholders and data assets, conduct initial analyses and develop larger-scale agendas.

The pre-solicitation notices are posted until December 9, 2022 and the full solicitation will be posted on January 16, 2023. Information about proposal submissions is forthcoming.

Molly Gahagen is a third-year student at Johns Hopkins University studying political science and international studies. She is currently the social science communications intern at SAGE Publishing.

View all posts by Molly Gahagen

Related Articles

Stop Buying Cobras: Halting the Rise of Fake Academic Papers
Communication
July 22, 2024

Stop Buying Cobras: Halting the Rise of Fake Academic Papers

Read Now
New SSRC Project Aims to Develop AI Principles for Private Sector
Industry
July 19, 2024

New SSRC Project Aims to Develop AI Principles for Private Sector

Read Now
Let’s Return to Retractions Being Corrective, Not Punitive
Communication
July 15, 2024

Let’s Return to Retractions Being Corrective, Not Punitive

Read Now
Uncovering ‘Sneaked References’ in an Article’s Metadata
Communication
July 11, 2024

Uncovering ‘Sneaked References’ in an Article’s Metadata

Read Now
How Social Science Can Hurt Those It Loves

How Social Science Can Hurt Those It Loves

David Canter rues the way psychologists and other social scientists too often emasculate important questions by forcing them into the straitjacket of limited scientific methods.

Read Now
Opportunity to Participate in RFI on Proposed National Secure Data Service

Opportunity to Participate in RFI on Proposed National Secure Data Service

According to the United Nations Educational, Scientific, and Cultural Organization, scientific collaboration and diplomacy are key when trying to effectively address the […]

Read Now
Why Social Science? Because It Can Help Contribute to AI That Benefits Society

Why Social Science? Because It Can Help Contribute to AI That Benefits Society

Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability.

Read Now
0 0 votes
Article Rating
Subscribe
Notify of
guest

This site uses Akismet to reduce spam. Learn how your comment data is processed.

0 Comments
Inline Feedbacks
View all comments