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Find similar grantsRemarkable Futures Scholarships is sponsored by Chick-fil-A. Scholarship opportunity for Chick-fil-A restaurant Team Members who are high school seniors or above.
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Remarkable Futures Scholarships | Chick-fil-A Chick-fil-A Remarkable Futures™ Scholarships Each year, Chick-fil-A restaurant Team Members across the U.S., Canada and Puerto Rico are offered the opportunity to apply for college scholarships through the Chick-fil-A Remarkable Futures™ scholarship program.
Since 1973, we’ve been able to donate $244 million to award Team Member scholarships to help them pursue a higher education and achieve their remarkable future — whether it’s with Chick-fil-A or elsewhere. Award tiers and information It began with an empty mayo jar In the early 1950s, S. Truett Cathy and his team set an empty container on the counter of the Dwarf Grill in Hapeville, Ga.
, for customers and Team Members to donate to Team Member Eddie White’s college fund. Eddie went on to attend nearby Morris Brown College and, after graduating with a degree in education, had a successful teaching career, eventually serving as the assistant superintendent of schools in Clayton County, Ga. Throughout the years, Eddie and Truett remained close friends.
“He became not only a boss, but a friend that I respected and appreciated,” Eddie said. “He has touched the lives of so many people – I’m just thankful to be one of them.
” $244M in scholarships since 1973 $29M in scholarships given in 2026 Every year through the Remarkable Futures Scholarship program, $1,000, $2,500 and $25,000 scholarships are awarded to Team Members who work at a franchised, company-owned and/or affiliated restaurant. The scholarships can be used at any accredited college, university or technical/vocational school and are available for both full-time and part-time students.
Best of all? All scholarship funds are paid in advance. “Creating greater access to education is one of the best ways Chick-fil-A serves communities.
Our long-standing commitment to investing in the future dreams and aspirations of restaurant Team Members remains at the forefront of Chick-fil-A’s efforts to have a positive impact on the lives of others. ” Andrew T. Cathy, CEO, Chick-fil-A , Inc. Through a partnership with Scholarship America, restaurant Team Members (and sometimes their family members) have access to tuition discounts and grants.
With access to more than 100 colleges and universities in the United States and Canada, Team Members can more easily make a secondary education part of their future. Explore tuition discounts Get to know the 2026 winners Enter your address, city and state, or zip, or use your current location. Earn points, redeem rewards and reach new tiers with increasing benefits.
Access your order history to make quick reorders and edits to existing orders. You’re Leaving Chick-fil-A. com.
According to the current listing, eligibility includes: Current Chick-fil-A restaurant Team Members who are high school seniors or above. Confirm the full requirements in the official notice before applying.
The current listing shows up to $25,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Remarkable Futures Scholarships are due October 28, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Remarkable Futures Scholarships is funded by Chick-fil-A. 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.
Mathematical Foundations of Artificial Intelligence (MFAI) is sponsored by National Science Foundation (NSF). Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches. Specific research goals include: establishing a fundamental mathematical understanding of the factors determining the capabilities and limitations of current and emerging generation s of AI systems, including, but not limited to, foundation models, generative models, deep learning, statistical learning, federated learning, and other evolving paradigms; the development of mathematically grounded design and analysis principles for the current and next generations of AI systems; rigorous approaches for characterizing and validating machine learning algorithms and their predictions; research enabling provably reliable, translational, general-purpose AI systems and algorithms; e ncouragement of new collaborations in this interdisciplinary research community and between institution s. The overall goal is to establish innovative and principled design and analysis approaches for AI technology using creative yet theoretically grounded mathematical and statistical frameworks, yielding explainable and interpretable models that can enable sustainable, socially responsible, and trustworthy AI. Mathematical Foundations of Artificial Intelligence (MFAI). Program guideline: NSF 24-569. Upcoming due date listed in NSF feed.
Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches. Specific research goals include: establishing a fundamental mathematical understanding of thefactors determining the capabilities and limitations of current and emerging generations of AI systems, including, but not limited to, foundation models, generative models, deep learning, statistical learning, federated learning, and other evolving paradigms; the development of mathematically grounded design and analysis principles for the current and next generations of AI systems; rigorous approaches for characterizing and validating machine learning algorithms and their predictions; research enabling provably reliable, translational, general-purpose AI systems and algorithms; encouragement of new collaborations in this interdisciplinary research community and between institutions. The overall goal is to establish innovative and principled design and analysis approaches for AI technology using creative yet theoretically grounded mathematical and statistical frameworks, yielding explainable and interpretable models that can enable sustainable, socially responsible, and trustworthy AI. Funding Opportunity Number: 24-569. Assistance Listing: 47.041,47.049,47.070,47.075. Funding Instrument: G. Category: ST. Award Amount: $500K – $1.5M per award.