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Synopsis

In today’s hyperconnected and device-rich world, increasing computational power and the explosive growth of data present us with tremendous opportunities to enable data-driven, evidence-based decision-making capabilities to accelerate scientific discovery and innovation. However, to be able to responsibly leverage the insights from and power of data, such as for training powerful artificial intelligence (AI) models, it is important to have practically deployable and scalable technologies that allow data sharing in a privacy-preserving manner. While there has been significant research progress in privacy-related areas, privacy-preserving data sharing technologies remain at various levels of maturity in terms of practical deployment. 

The goals of the PDaSP program are aligned with the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI EO), which emphasizes the role for privacy-enhancing technologies (PETs) in a responsible and safe AI future. The EO directs NSF to, “where feasible

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Synopsis

The Analysis Program supports research in analysis. Areas of current activity include complex, harmonic, and real analysis; dynamical systems and ergodic theory; functional analysis; mathematical physics; operator theory and operator algebras; partial differential equations and calculus of variations.

Conferences

Proposals to the Analysis Program for conferences or workshops must be submitted through the program solicitation “Conferences and Workshops in the Mathematical Sciences” (link below).  Principal Investigators should carefully read the solicitation to obtain important information regarding the substance of proposals for conferences, workshops, and similar activities.

To facilitate timely notification of the availability of support, proposals for conferences, workshops, and similar activities should be submitted 8 months in advance of the start date of the proposed event.

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NSF 24-122

August 30, 2024

Dear Colleagues:

This Dear Colleague Letter (DCL) encourages the submission of supplemental funding requests to engage the public in science, technology, engineering and mathematics (STEM) programming and activities that showcase existing exhibits, films, maker experiences and other public science communication efforts funded by the U.S. National Science Foundation (NSF). This DCL is led by the NSF Directorate for STEM Education (EDU), in partnership with the Office of Legislative and Public Affairs (OLPA), and is open to current Advancing Informal STEM Learning (AISL) and Innovative Technology Experiences for Students and Teachers (ITEST) award recipients in EDU’s Division of Research on Learning in Formal and Informal Settings (DRL).

BACKGROUND

May 10th, 2025 is the U.S. National Science Foundation’s 75th Anniversary and NSF seeks to amplify the visibility and impact of

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U.S. National Science Foundation

Directorate for STEM Education
     Research on Learning in Formal and Informal Settings

Full Proposal Deadline(s) (due by 5 p.m. submitting organization’s local time):

     January 08, 2025

     Second Wednesday in January, Annually Thereafter

Important Information And Revision Notes REVISED: Goal #3, Broadening Participation in STEM REMINDER: Requirements for all proposals: 5 keywords in Project Summary; Goals to be addressed; Solicitation Specific Review Criteria, List of Proposal Personnel REMINDER: All proposals must articulate a clear rationale describing why a project is informal learning and how it adds value to the informal STEM learning community. REMINDER: The AISL program prefers collaborative proposals to be submitted using the single-entity option (submitted by one organization with sub-awards). For collaborative proposals uploaded as separate linked submissions from multiple organizations, the minimum one-year budget amount is $75,000 for each organization for each project year.

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