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Find similar grantsCSIRO-National Science Foundation (US) AI Research Collaboration Program is sponsored by CSIRO and US National Science Foundation (NSF). This opportunity supports mission-aligned projects and measurable outcomes.
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Skip to contentSkip to search AUSTRALIA’S NATIONAL SCIENCE AGENCY # CSIRO – National Science Foundation (US) AI Research Collaboration Program The CSIRO-National Science Foundation (US) research collaboration program jointly funds bilateral research collaborations that have the potential to deliver transformative findings in the area of Responsible AI and Equitable AI. * [](https://www. facebook.
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%20%20-%20%20https://www. csiro. au/en/research/technology-space/ai/NSF-AI-Research) CSIRO has formed a long-term strategic partnership with the United States' National Science Foundation (NSF) aimed at accelerating joint research in areas of mutual priority.
The purpose of this partnership is to further critical research in areas identified as priorities by both our governments, including in areas such as artificial intelligence (AI), low emission technologies (LETs) and sustainability.
The partnership aims to establish and deepen collaborations between Australian and US researchers; assist in the identification, commercialisation and uptake of new technologies; and further societal and economic impact as a result of the research and technology adoption. Under this strategic partnership, CSIRO and NSF are supporting several initiatives involving organisations from both nations.
One of these initiatives is the **Collaboration Opportunities in Responsible and Equitable AI**. This initiative funds joint projects involving Australian and US based researchers which aim to: * Accelerate ground-breakingresearch in responsible and equitable AI. * Undertake AI research that will support the progress of one or more of CSIRO’s Missions.
* Strengthen bilateral partnerships and collaboration between Australian and US research teams and organisations. * Reduce some of the barriers currently faced by researchers in working internationally by supporting focused, collaborative projects. A combined total of AUD$9.
6 million has been invested by CSIRO and the NSF in six projects in 2023. Three projects to minimise the impact of pandemics, harmful environmental emissions, and drought using responsible AI were announced in February: * Fair Sequential Collective Decision-Making - University of Nebraska-Lincoln, Rensselaer Polytechnic Institute and UNSW Sydney.
* Understanding Bias in AI Models for the Prediction of Infectious Disease Spread - Emory University, Arizona State University, George Mason University, UNSW Sydney and RMIT University. * Graph Representation Learning for Fair Teaming in Crisis Response - UCLA, The University of Texas at Austin, University of Technology Sydney and the University of Melbourne.
An additional three projects leveraging responsible AI for developing clean energy, combating climate change, and modelling dynamic systems, were announced by Minister Husic at the opening of Australia's AI Month in November 2023: * Responsible AI Enabling the Internet of Energy – Georgia Tech, Monash University, CSIRO * Responsible AI for Climate Change – University of Chicago, ANU * Towards Interpretable and Responsible Graph Modeling for Dynamic Systems – Florida Atlantic University, Griffith University, CSIRO Former CSIRO CEO Larry Marshall with Australian Science Minister Ed Husic and NSF Director Sethuraman Panchanathan at the announcement of the first three funded projects.
* CSIRO and the US National Science Foundation * Australia’s Artificial Intelligence Ethics Framework * Collaboration in Responsible and Equitable AI - NSF and CSIRO Webinar * Artificial Intelligence * AI for better insurance * AI for Climate consultation * Choose the right AI projects * Responsible AI partnership * Artificial Intelligence: Australia’s Ethics Framework * Artificial Intelligence foundation models report * Artificial Intelligence for Science report * Artificial Intelligence Roadmap * Reducing waste through ASPIRE * Assessing breast density automatically * Computer games for mental health * Emergency Situation Awareness * Enhancing Speech Emotion Recognition using Machine Learning Techniques * CSIRO – National Science Foundation (US) AI Research Collaboration Program * Predicting and managing traffic congestion * Responding to environmental emergencies using data and technology science * Responsible artificial intelligence research * Spark: Predicting bushfire spread * Vision processing for the bionic eye * Water pipe failure prediction * Enabling integrated healthcare * Predicting hospitalisation * Chatbot app for therapy * Robots for therapy & education * Programs for business and research * Responsible artificial intelligence research * Artificial Intelligence * AI for better insurance * AI for Climate consultation * Choose the right AI projects * Responsible AI partnership * Artificial Intelligence: Australia’s Ethics Framework * Artificial Intelligence foundation models report * Artificial Intelligence for Science report * Artificial Intelligence Roadmap * Reducing waste through ASPIRE * Assessing breast density automatically * Computer games for mental health * Emergency Situation Awareness * Enhancing Speech Emotion Recognition using Machine Learning Techniques * CSIRO – National Science Foundation (US) AI Research Collaboration Program * Predicting and managing traffic congestion * Responding to environmental emergencies using data and technology science * Responsible artificial intelligence research * Spark: Predicting bushfire spread * Vision processing for the bionic eye * Water pipe failure prediction * Enabling integrated healthcare * Predicting hospitalisation * Chatbot app for therapy * Robots for therapy & education Last updated: 15 November 2023 * Artificial Intelligence * AI for better insurance * AI for Climate consultation * Choose the right AI projects * Responsible AI partnership * Artificial Intelligence: Australia’s Ethics Framework * Artificial Intelligence foundation models report * Artificial Intelligence for Science report * Artificial Intelligence Roadmap * Reducing waste through ASPIRE * Assessing breast density automatically * Computer games for mental health * Emergency Situation Awareness * Enhancing Speech Emotion Recognition using Machine Learning Techniques * CSIRO – National Science Foundation (US) AI Research Collaboration Program * Predicting and managing traffic congestion * Responding to environmental emergencies using data and technology science * Responsible artificial intelligence research * Spark: Predicting bushfire spread * Vision processing for the bionic eye * Water pipe failure prediction * Enabling integrated healthcare * Predicting hospitalisation * Chatbot app for therapy * Robots for therapy & education * Programs for business and research * Responsible artificial intelligence research * Artificial Intelligence * AI for better insurance * AI for Climate consultation * Choose the right AI projects * Responsible AI partnership * Artificial Intelligence: Australia’s Ethics Framework * Artificial Intelligence foundation models report * Artificial Intelligence for Science report * Artificial Intelligence Roadmap * Reducing waste through ASPIRE * Assessing breast density automatically * Computer games for mental health * Emergency Situation Awareness * Enhancing Speech Emotion Recognition using Machine Learning Techniques * CSIRO – National Science Foundation (US) AI Research Collaboration Program * Predicting and managing traffic congestion * Responding to environmental emergencies using data and technology science * Responsible artificial intelligence research * Spark: Predicting bushfire spread * Vision processing for the bionic eye * Water pipe failure prediction * Enabling integrated healthcare * Predicting hospitalisation * Chatbot app for therapy * Robots for therapy & education Last updated: 15 November 2023 ## You might be interested in ### AI Ethics Framework Discussion paper 'Artificial Intelligence: Australia's Ethics Framework' identifies key governance principles and measures that can be used to achieve the best possible results from AI, while keeping the well-being of Australians as the top priority.
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According to the current listing, eligibility includes: Joint teams of U. S. and Australian researchers collaborating on responsible and equitable artificial intelligence (AI), with a focus on new approaches aligned with CSIRO mission areas. Confirm the full requirements in the official notice before applying.
The current listing shows combined AUD$9.6 million invested in six projects in 2023 (previous funding). Verify award ceilings, matching requirements, and allowable costs in the official notice.
CSIRO-National Science Foundation (US) AI Research Collaboration Program is funded by CSIRO and US National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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