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AI Bridge Seed Grants is sponsored by Texas A&M University (Division of Research, Texas A&M Institute of Data Science, Texas A&M Engineering Experiment Station, College of Arts and Sciences, Texas A&M AgriLife Research). Texas A&M University awarded its first Artificial Intelligence (AI) Bridge Seed Grants to accelerate interdisciplinary, AI-enabled research.
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Texas A&M Awards First AI Bridge Seed Grants, Fueling Interdisciplinary Innovation – Inside Texas A&M Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health. " > Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health.
" /> Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health. " /> Texas A&M Awards First AI Bridge Seed Grants, Fueling Interdisciplinary Innovation Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health.
Texas A&M University awarded its first Artificial Intelligence (AI) Bridge Seed Grants, the Division of Research announced today, marking the next milestone in a university-wide effort to accelerate interdisciplinary, AI-enabled research.
The initiative provided one-year, $20,000 seed grants to five research teams, giving them the opportunity to prototype new approaches, refine collaborative ideas and generate the preliminary results needed to pursue larger research investments. “The AI Bridge initiative is an important investment in interdisciplinary research, where artificial intelligence amplifies human ingenuity,” said Dr. Angela K.
Wilson, vice president for research at Texas A&M. “These seed grants are an investment in collaboration that brings together exceptional researchers to solve some of society’s most pressing challenges. By connecting expertise across the university, we are building the partnerships, ideas and momentum that will define the future of AI-enabled discovery and further advance Texas A&M as a global leader in research, innovation and impact.
” Cheng Zhang , Engineering, and Toryn Schafer , Arts and Sciences, “Bridging the Gap in Wildlife Monitoring: A Hybrid AI-Ecological Approach for Cryptic Taxa Detection and Multi-Source Data Fusion. ” Ruihong Huang , Engineering, Zhiyao Yang , Engineering,and Zheng O’Neill , Engineering, “Building Energy Time Series Foundation Model via Physics-Constrained Discrete Tokenization.
” Jian Tao , Performance, Visualization and Fine Arts, Anish Jantrania , AgriLife Research, June Wolfe , Engineering Extension Service, and Rajiv Srivastava , AgriLife Research, “AI-Driven Digital Twin for Safe and Scalable Wastewater Reuse Systems.
” Xianyang Zhang , Arts and Sciences, James Cai , Veterinary Medicine and Biomedical Sciences, and Robert Chapkin , Agriculture and Life Sciences, “GEOcellar: An AI Agent System for Hypothesis Generation and Iterative Analysis of Single-Cell RNA-seq Data. ” Tianbao Yang , Engineering, and Xiaowei Chen , Arts and Sciences, “Self-Supervised Contrastive Learning with Geometry-Constrained Fine-Tuning for DAS-Based Phase Picking.
” The program received 56 proposals representing 122 investigators from across the university, demonstrating both the depth of AI expertise at Texas A&M and the growing interest in interdisciplinary partnerships. Proposals were evaluated by a review panel composed of faculty experts from a broad range of disciplines.
“The response to the inaugural AI Bridge Seed Grant competition demonstrated just how much enthusiasm exists for interdisciplinary AI research across Texas A&M,” said Dr. Henry Fadamiro, associate vice president for research, strategic initiatives. “Those relationships are essential for tackling today’s most complex research questions, and the seed grants provide the support needed to turn promising ideas into lasting collaborations.
” The inaugural AI Bridge Summit and Seed Grant program is supported by the Texas A&M Division of Research, the Texas A&M Institute of Data Science, the Texas A&M Engineering Experiment Station, the College of Arts and Sciences and Texas A&M AgriLife Research.
Texas A&M Awards First AI Bridge Seed Grants, Fueling Interdisciplinary Innovation Five collaborative projects will advance AI-enabled research in fields ranging from ecology to energy and public health. Upgraded iThenticate Platform Simplifies Originality Assessment for Texas A&M Researchers Modernized platform from the Division of Research offers new features to support originality checks for scholarly publishing.
Texas A&M Division of Research Announces Three New Frontiers in Research Summits Grants Newly funded summits aim to spark collaborations and develop future research initiatives in medicine, biotechnology and artificial intelligence. Texas A&M Institute of Data Science
According to the current listing, eligibility includes: Research teams at Texas A&M University. Projects must include individuals from at least two Illinois Innovation Network (IIN) hubs (for related IIN grants in Illinois) and encourage community organization involvement. Confirm the full requirements in the official notice before applying.
The current listing shows $20,000 seed grants. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI Bridge Seed Grants is funded by Texas A&M University (Division of Research, Texas A&M Institute of Data Science, Texas A&M Engineering Experiment Station, College of Arts and Sciences, Texas A&M AgriLife Research). Verify program details on the funder's official page before applying.
This opportunity targets applicants in Illinois and Texas. Check the official notice for exact location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
NSF 26-516 folds Atmospheric and Geospace Sciences, Earth Sciences and Ocean Sciences into a single GEO Core solicitation: $110 million, 200 to 350 awards, proposals accepted anytime. Geosciences piloted no-deadline review nine years ago and knows what it does to submission volume. Here is the per-award math, the ship-time and permitting traps, and the two-year data-archive clock that now governs every award.
Read articleNSF just put $83 million into six national-scale data systems through its Integrated Data Systems and Services program — the plumbing that makes AI-for-science actually work. Here is who won, how the three-category structure (national-scale, transition, planning) really functions, why the Category III planning grant is the on-ramp most teams should be aiming at, and how to build readiness before the next fourth-Tuesday-in-July deadline.
Read articleOn 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.
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