1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Stored deadline is 2026-06-02; page confirms June 2026 deadline (exact date not explicitly stated but consistent). ANR awards up to €500,000 per French team over 5 years; JST awards maximum ¥300 million per Japanese team.
"Bilateral cooperation ANR – JST CREST 2026 for two research areas: 'Symbiotic AI Interdisciplinary System' and 'Prediction Mathematical Foundation'" is currently closed and not accepting applications.
Bilateral cooperation ANR – JST CREST 2026 for two research areas: 'Symbiotic AI Interdisciplinary System' and 'Prediction Mathematical Foundation' is sponsored by Agence Nationale de la Recherche (ANR) and Japan Science and Technology Agency (JST).
This call invites French teams to participate in research projects in collaboration with Japanese teams in two priority areas: 'Symbiotic AI Interdisciplinary System' and 'Prediction Mathematical Foundation.' This fosters international collaboration in advanced AI research.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
June Deadline for 2026 ANR-JST Joint CREST Projects - ResearchConnect June Deadline for 2026 ANR-JST Joint CREST Projects June Deadline for 2026 ANR-JST Joint CREST Projects ANR and JST are now accepting submissions for Franco-Japanese projects on themes relating to AI and mathematics.
In order to support research projects of scientific excellence, the Agence Nationale de la Recherche (ANR – French National Research Agency)and the Japan Science and Technology Agency (JST) have launched the 2026 edition of its programme for joint French/Japanese research projects within the framework of JST’s Core Research for Evolutional Science and Technology (CREST) initiative.
The project consortium must involve at least one French and one Japanese partner. Two scientific coordinators (one French, one Japanese) must be clearly identified.
The call is open to public research organisations and assimilated organisations (this includes public organisations that are conducting research and disseminating knowledge in France and private organisations that are conducting research and/or teaching activities and have an establishment or a branch in France). The call is also open to commercial companies.
The French consortium must include at least one public or assimilated research organisation.
For the 2026 call, proposals are based on two themes: Theme 1: Symbiotic AI Interdisciplinary System: Creation of Interdisciplinary System Foundation for a Symbiotic and Collaborative Society with Humans and AI – The research theme aims to advance technologies that enable the symbiosis of artificial intelligence (AI) and humans, as well as the collaboration of diverse AIs, and to support cooperation between multiple humans and multiple AIs based on these technologies, taking into consideration factors such as reliability, fairness and safety.
Key objectives under this theme include acquiring the technologies and insights for human-AI coexistence, creating information science technologies for AI collaboration and establishing methods for integrating and evaluating theoretical frameworks in virtual and real world fields to improve human-AI collaboration.
Theme 2: Prediction Mathematical Foundation: Creation of Mathematical Foundation for Prediction and Control As global and social issues intensify due to a range of interlinked factors, threats and challenges must eb addressed through the accurate identification and prediction of important signs of change.
Through intervention based on such predictions, it is necessary to build a new social structure to manage events in order to establish and maintain a desirable state. Achieving this objective requires the integration and application of all relevant information and data pertaining to natural and social phenomena across various fields alongside the leveraging of the mathematical sciences for abstracting and visualising complex phenomena.
The theme thus aims to deepen the understanding of such phenomena and to generate new theories and innovative technologies related to prediction and control. Each national agency will provide funding for the expenses of the team from that country, according to their own regulations.
ANR will provide funding of up to €500,000 per project to French teams, depending on the number of partners and the ambition of the project, for a five-year duration. JST will provide a maximum of ¥300 million per team. Applications must be submitted to both agencies.
Find out more about ResearchConnect Alice 2026-04-15T16:15:33+01:00
According to the current listing, eligibility includes: Consortia must include at least one French and one Japanese partner; French consortium must include at least one public or assimilated research organisation; commercial companies may participate. Confirm the full requirements in the official notice before applying.
The current listing shows up to €500,000 per French team (ANR); up to ¥300 million per Japanese team (JST). Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 2, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Bilateral cooperation ANR – JST CREST 2026 for two research areas: 'Symbiotic AI Interdisciplinary System' and 'Prediction Mathematical Foundation' is funded by Agence Nationale de la Recherche (ANR) and Japan Science and Technology Agency (JST). Verify program details on the funder's official page before applying.
This listing is flagged as international in scope. Check the official notice for country-specific restrictions before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
On August 26, 2026, NSF named the STC class of 2026: TEMPEST at Michigan State, GENIE at Northwestern, and a human-robot co-adaptation center at UT Austin. $90 million total, $6 million a year each. The 2023 class was four centers and $120 million. The award size is intact; the shelf space shrank 25 percent — and that is the number that should reshape how you plan a center proposal.
Read articleOn July 22, 2026 the White House committed more than $5 billion to expand the Genesis Mission — the government-wide 'AI for science' effort — announcing 278 first projects and 14 National Science and Technology Challenges spanning health, energy, infrastructure, manufacturing, and national security. More than 15 federal agencies are contributing awards, datasets, and facilities. Here is how the pieces fit, why it reorganizes the science-funding map, and how to position for the awards flowing out of it.
Read articleOn July 22, 2026 the White House announced more than $5 billion and 15-plus federal agencies behind the Genesis Mission — a national effort to point AI at the hardest problems in science. Here is what the mission actually funds, how its five National Science and Technology Challenges map to real solicitations already opening, and how a research team or small business should position for the money flowing out of it.
Read article