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15,895 grants matching “artificial intelligence”
Category I: AMA27: Sustainable Cyber-infrastructure for Expanding Participation
$21,951,104Robert J Harrison · Suny At Stony Brook · · FY2025 · CSE
AI-driven Structure-enabled Antiviral Platform (ASAP)
$21,643,949John Damon Chodera · Sloan-Kettering Inst Can Research · U19 · FY2025 · AI
NCI Central Scientific Computing Resources
$20,771,364Jeffrey Shilling · Office Of The Director, Nci · ZIH · FY2023 · CA
AI Institute for Edge Computing Leveraging Next Generation Networks (Athena)
$20,203,732Yiran Chen · Duke University · · FY2021 · CSE
ARTIFICIAL INTELLIGENCE (AI) HAS THE POTENTIAL TO TRANSFORM US FOOD SYSTEMS BY TARGETING ITS BIGGEST CHALLENGES: IMPROVING FOOD YIELD QUALITY AND NUTRITION DECREASING RESOURCE CONSUMPTION INCREASING SAFETY AND TRACEABILITY AND ELIMINATING FOOD WASTE. IN THE LAST DECADE SCIENTISTS AND ENGINEERS HAVE MADE SIGNIFICANT HEADWAY IN DEVELOPING AND DEPLOYING TOOLS AND DEVICES THAT DELIVER A MASSIVE YET TOO OFTEN RAW DATA STREAM TO FOOD SYSTEM STAKEHOLDERS AT UNPRECEDENTED SPATIOTEMPORAL RESOLUTION. AT THE SAME TIME AI ALGORITHMS REPEATEDLY BREAK BENCHMARKS IN COMPUTER VISION NATURAL LANGUAGE PROCESSING AND AUTOMATION WHILE AI-OPTIMIZED HARDWARE IS ENABLING MAJOR ADVANCES FROM ROBOTICS TO CONSUMER ELECTRONICS. DESPITE BIG LEAPS IN AI CAPACITY FOOD SYSTEMS LIKE OTHER COMPLEX DOMAIN AREAS PRESENT SEVERAL CHALLENGES IN THE APPLICATION AND ADOPTION OF AI: (1) FOOD SYSTEMS ARE HIGHLY DIVERSE AND BIOLOGICALLY COMPLEX (2) GROUND TRUTH DATA IS SPARSE COSTLY AND PRIVATELY HELD AND (3) HUMAN DECISIONS AND PREFERENCES ARE INTRICATELY LINKED TO EVERY STAGE OF FOOD SYSTEM SUPPLY CHAINS.THE MISSION OF THE AI INSTITUTE FOR NEXT GENERATION FOOD SYSTEMS (AIFS) IS TO DEVELOP AI TECHNOLOGIES FOR A SUSTAINABLE FOOD SYSTEM AND TO NURTURE NEXT GENERATION TALENT TO PRODUCE AND DISTRIBUTE NUTRITIOUS FOOD WITH FEWER RESOURCES. IN THE COMING DECADES AIFS AIMS TO TRANSFORM US FOOD SYSTEMS BY INNOVATING AI TECHNOLOGY THAT WILL GENERATE ACTIONABLE INFORMATION FOR DIVERSE STAKEHOLDERS IN FOOD SYSTEM SUPPLY CHAINS GROUNDED IN A ROBUST ETHICAL AND SOCIOECONOMIC FRAMEWORK. TOWARD THIS GOAL AND ADDRESSING THE ABOVE CHALLENGES AIFS WILL DEVELOP GENERALIZABLE DATA-EFFICIENT AND TRUSTWORTHY AI SOLUTIONS TO ENABLE (1) MOLECULAR BREEDERS TO DISCOVER AND/OR DESIGN THE NEXT GENERATION OF HIGH YIELDING HIGH-QUALITY CONSUMER-FOCUSED FOODS (2) AGRICULTURAL PRODUCERS TO MAXIMIZE FOOD QUANTITY AND QUALITY WHILE MINIMIZING RESOURCE CONSUMPTION AND WASTE (3) FOOD PROCESSORS AND DISTRIBUTORS TO DELIVER HIGHLY TRACEABLE AND SAFE FOOD WHILE MINIMIZING RESOURCE CONSUMPTION AND WASTE AND (4) CONSUMERS TO RAPIDLY AND PRECISELY ASSESS THE NUTRITION OF A MEAL QUANTIFY THE FOOD'S MOLECULAR COMPOSITION AND PREDICT THE IMPACT ON THEIR HEALTH. AIFS WILL BUILD THESE SOLUTIONS USING A KNOWLEDGE-DRIVEN AND HUMAN-IN-THE-LOOP LEARNING PARADIGM DESIGNED TO HANDLE FOOD SYSTEM DIVERSITY AND BIOLOGICAL COMPLEXITY EFFICIENTLY CAPTURE AND UTILIZE FOOD SYSTEM DATA AND GARNER USER TRUST VIA EXPLAINABILITY SAFETY PRIVACY AND FAIRNESS. TODAY WHEN AI IS EMPLOYED BY FOOD SYSTEM RESEARCHERS ENGINEERS AND INDUSTRY LEADERS IT IS ALMOST EXCLUSIVELY AS A TECHNOLOGICAL BYPRODUCT OF OTHER INDUSTRIES. BY CREATING FOOD SYSTEM-SPECIFIC AI SOLUTIONS AIFS WILL ACCELERATE AI'S CAPACITY TO POSITIVELY TRANSFORM US FOOD SYSTEMS AND IMPACT STAKEHOLDERS ACROSS THE SUPPLY CHAIN.GIVEN FOOD'S FUNDAMENTAL ROLE IN HUMAN HEALTH AND WELL-BEING ALONG WITH ITS FAR-REACHING IMPACTS ON THE NATIONAL ECONOMY AND ENVIRONMENT CREATING A MULTIDISCIPLINARY INSTITUTE FOCUSED ON AI INNOVATION IN AGRICULTURE AND FOOD SYSTEMS IS CRITICAL. AIFS WILL BRING TOGETHER RESEARCHERS FROM SIX INSTITUTIONS (I.E. UNIVERSITY OF CALIFORNIA DAVIS [UCD]; UNIVERSITY OF CALIFORNIA BERKELEY [UCB]; CORNELL; AND UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN [UIUC] USDA-ARS UNIVERSITY OF CALIFORNIA AGRICULTURE AND NATURAL RESOURCES [UC ANR]) WITH A PROVEN RECORD OF EXCELLENCE IN AI AND FOOD SYSTEM SCIENCE ENGINEERING OUTREACH AND EDUCATION. AIFS WILL SERVE AS A NATIONAL NEXUS POINT FOR COLLABORATIVE EFFORTS SPANNING HIGHER EDUCATION INSTITUTIONS FEDERAL AGENCIES INDUSTRY AND NONPROFITS/FOUNDATIONS. IN THIS BROKERAGE CAPACITY AIFS WILL ACCELERATE THE TRANSLATION OF AI INNOVATIONS INTO THE FOOD SYSTEM AND NURTURE THE NEXT GENERATION OF TALENT TO ENABLE A MORE RESILIENT AND PRODUCTIVE SOCIETY.AIFS WILL HAVE SIX RESEARCH CLUSTERS WITH TWO FOUNDATIONAL RESEARCH AREAS (USE-INSPIRED AND FOUNDATIONAL AI AND SOCIOECONOMICS AND ETHICS) AND FOUR APPLICATION RESEARCH AREAS (ARA) (MOLECULAR BREEDING AGRICULTURAL PRODUCTION FOOD PROCESSING AND DISTRIBUTION AND NUTRITION) IN ADDITION TO PROGRAMS IN EDUCATION OUTREACH AND WORKFORCE DEVELOPMENT (EOWD) BROADENING PARTICIPATION AND COLLABORATIONS AND KNOWLEDGE TRANSFER. APPLICATION RESEARCH AREAS WILL SPAN THE ENTIRE FOOD SYSTEM. THE USE-INSPIRED AND FOUNDATIONAL AI CLUSTER WILL CONNECT THE SIX RESEARCH CLUSTERS AND DEVELOP AI TOOLS THROUGH CLOSE COMMUNICATION AND FEEDBACK CYCLES. SOCIAL ECONOMIC AND ETHICAL CONSIDERATIONS WILL BE INTEGRATED INTO THE APPLICATION OF AI IN ALL FOUR APPLIED RESEARCH AREAS. AIFS WILL ACTIVELY ENGAGE ACADEMIC STAKEHOLDER AND PUBLIC AUDIENCES THROUGH EDUCATION OUTREACH AND BROADENING PARTICIPATION ACTIVITIES (E.G. ROUNDTABLES EXHIBITS PANEL DISCUSSIONS ETC.) LED BY GRADUATE STUDENTS AND POSTDOCTORAL FELLOWS SUPPORTED BY THIS PROJECT AS PART OF THE UCD INSTITUTE FOR FOOD AND AGRICULTURAL LITERACY (IFAL). IFAL AND AIFS WILL COLLABORATE WITH COMMUNITY COLLEGES IN BOTH THE RESEARCH AND APPLICATION OF TECHNOLOGIES IN INDUSTRY THROUGH INTERNSHIPS FELLOWSHIPS COMPETITIONS AND CONFERENCES. AIFS WORKSHOPS LED BY UC ANR A STATEWIDE UC NETWORK OF OVER 1500 ACADEMICS AND STAFF WITH THE MISSION TO TRANSFER SCIENCE AND TECHNOLOGY TO THE PEOPLE OF CALIFORNIA WILL SERVE TO INFORM AND TRAIN INDUSTRY PROFESSIONALS ON THE APPLICATION OF AI TECHNOLOGIES. FINALLY AIFS WILL LEVERAGE UC ANR'S GLOBAL INNOVATION FOOD AND AGRICULTURE INNOVATION NETWORK THE VERDE INNOVATION NETWORK FOR ENTREPRENEURSHIP (THE VINE) TO ACCELERATE COMMERCIALIZATION USING AN ENVIRONMENTALLY SAFE AND ETHICALLY SOUND APPROACH THROUGH PARTNERSHIP WITH EXISTING COMPANIES AND PROMOTING ENTREPRENEURSHIP.AIFS AIMS TO DEVELOP FOOD SYSTEM-CENTRIC AI SOLUTIONS FOR TRANSFORMING PRODUCTIVITY SUSTAINABILITY AND SAFETY OF FOOD SYSTEMS AS WELL AS ENHANCING CONSUMER HEALTH AND WELLNESS. THESE AI SOLUTIONS WILL INNOVATE ALGORITHMS AND COMPUTATIONAL RESOURCES TO MODEL BOTH DIVERSITY AND BIOLOGICAL COMPLEXITY OF FOOD SYSTEMS ADDRESS KEY KNOWLEDGE GAPS IN GROUND TRUTH DATA AND CREATE EXPLAINABLE AND TRUSTWORTHY PREDICTIONS TO ENGAGE HUMANS IN-THE-LOOP. THESE INNOVATIONS ARE SIGNIFICANTLY AND INTELLECTUALLY DISTINCT FROM THE CURRENT SCENARIO WHERE AI APPROACHES IN FOOD SYSTEMS ARE EXCLUSIVELY TECHNOLOGICAL BY-PRODUCTS OF OTHER INDUSTRIES. BY INVESTIGATING AND CREATING FOOD SYSTEM-SPECIFIC AI TECHNOLOGIES AIFS WILL ACCELERATE AI'S CAPACITY TO POSITIVELY TRANSFORM US FOOD SYSTEMS AND IMPACT STAKEHOLDERS ACROSS THE SUPPLY CHAIN. AIFS WILL BRING TOGETHER RESEARCHERS FROM SIX INSTITUTIONS WITH A PROVEN RECORD OF EXCELLENCE IN AI FOOD SYSTEM SCIENCES AND ENGINEERING. THE PROPOSED RESEARCH PLAN WILL INVESTIGATE ORIGINAL AND TRANSFORMATIVE CONCEPTS AT THE INTERSECTION OF FOUNDATIONAL AND APPLICATION RESEARCH AREAS THAT SPAN THE ENTIRE FOOD SYSTEM. WITHIN EACH APPLICATION RESEARCH AREA AIFS ADDRESSES THREE CRITICAL CHALLENGES A SPECIFIC SET OF FOOD SYSTEM STAKEHOLDERS CONFRONTING THESE CHALLENGES FOUNDATIONAL AI RESEARCH SOLUTIONS AND A CORRESPONDING SOCIOECONOMIC AND ETHICAL FRAMEWORK. CRITICALLY AIFS INSTITUTIONS REPRESENT LEADERS IN AI INNOVATION AND AGRICULTURE AND FOOD SYSTEMS RESEARCH WITH SIGNIFICANT RESOURCES INCLUDING STATE-OF-THE-ART COMPUTE MOLECULAR SEQUENCING ANALYTICAL GREENHOUSE CROP PRODUCTION AND ENGINEERING FACILITIES AS WELL AS STAKEHOLDER ENGAGEMENT TO ENABLE SUCCESS AND TRANSFORMATIVE IMPACT ON SOCIETY.
$20,189,383University Of California, Davis · · FY2020 · National Institute of Food and Agriculture
AI Institute for Learning-Enabled Optimization at Scale (TILOS)
$20,114,004Yusu Wang · University Of California-San Diego · · FY2021 · CSE
AI Institute: AI Research Institute for Fundamental Interactions
$20,100,000Jesse D Thaler · Massachusetts Institute Of Technology · · FY2020 · MPS
AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE)
$20,099,998Dhabaleswar K Panda · Ohio State University, The · · FY2021 · CSE
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** A GROWING WORLD POPULATION WILL INCREASE FOOD DEMAND WHILE AT THE SAME TIME AGRICULTURE FACES COMPLEX CHALLENGES RELATED TO LABOR WATER SCARCITY AND EXTREME WEATHER EVENTS. THE AGAID INSTITUTE WILL DEVELOP ARTIFICIAL INTELLIGENCE (AI) SOLUTIONS TO HELP ADDRESS THESE PRESSING CHALLENGES AND SPUR THE NEXT AGRICULTURAL REVOLUTION WITH THE USE OF AI. MORE SPECIFICALLY THE INSTITUTE WILL BUILD TOOLS AND WORKFLOWS TO HELP MITIGATE THE EFFECTS OF LABOR COSTS AND SHORTAGES AND BETTER MANAGE REGIONAL RESOURCES SUCH AS WATER DESPITE VARIOUS UNCERTAINTIES. THE INSTITUTE WILL BRING MORE DATA AND SCIENCE-GUIDED INFORMATION TO THE FINGERTIPS OF AGRICULTURAL WORKERS TO HELP THEM MAKE BETTER DECISIONS.THE INSTITUTE WILL EMPHASIZE SOLUTIONS THAT CAN ADAPT TO CHANGING ENVIRONMENTS AND AMPLIFY PRODUCTIVITY THROUGH MORE EFFICIENT HUMAN AND MACHINE PARTNERSHIPS. MOST IMPORTANTLY HOWEVER THE INSTITUTE'S VISION WILL BE REALIZED BY MAKING AI ADOPTION ITS DISTINCTIVE FIRST PRINCIPLE. THIS MEANS THAT THAT THE PEOPLE WHO WILL USE THE TOOLS--THE FARMERS WORKERS AND MANAGERS--WILL BE DEEPLY INVOLVED THROUGHOUT ALL STAGES OF THE DEVELOPMENT PROCESS. THE GOAL IS TO ENSURE THE AI SOLUTIONS ARE PRACTICAL AND ADD VALUE MAKING THEM MORE LIKELY TO BE USED IN DYNAMIC REAL-WORLD SITUATIONS.EDUCATION AND OUTREACH ARE CENTRAL TO AGAID'S ACTIVITIES. RAISING AI SKILL LEVELS AND OPENING NEW CAREER PATHS WILL INCREASE COMPENSATION AND IMPROVE QUALITY OF LIFE FOR THE AGRICULTURAL WORKFORCE WHILE ATTRACTING MORE PEOPLE TO AGRICULTURE AND COMPUTING PROFESSIONS. THIS WILL BE ACCOMPLISHED THROUGH K-12 COLLEGE AND WORKFORCE TRAINING EFFORTS CARRIED OUT BY THE INSTITUTE'S MULTI-DISCIPLINARY CORE MEMBERS THAT INCLUDE EIGHT ACADEMIC INSTITUTIONS AND TWO TECH COMPANIES AS WELL AS A RANGE OF PUBLIC AND PRIVATE SECTOR STAKEHOLDER GROUPS. THE INSTITUTE WILL WORK TO DEVELOP INTERACTIVE AI TOOLS AND INTUITIVE APPLICATIONS TO RESPOND TO THE NEEDS OF AN EVOLVING WORKFORCE. BY INCREASING AI EDUCATION AND CLOSING SKILL GAPS THE INSTITUTE AIMS TO HELP TRANSFORM THIS CRITICAL LABOR FORCE AND CREATE NEW OPPORTUNITIES FOR COMPUTING AND STEM MAJORS.AGAID INSTITUTE'S TEST CASES WILL INVOLVE SPECIALTY CROPS SUCH AS APPLES CHERRIES GRAPES AND NUT TREES SUCH AS ALMONDS AND PISTACHIOS THAT ARE GROWN NATIONWIDE AND PARTICULARLY IN THE WESTERN U.S. THESE CROPS POSE SEVERAL AGRICULTURAL GRAND CHALLENGES: THEY REQUIRE INTENSIVE LABOR NEED IRRIGATION AND ARE HEAVILY IMPACTED BY WEATHER EVENTS. SPECIALTY CROPS ALSO ACCOUNT FOR 87% OF THE U.S. AGRICULTURAL WORKFORCE. ABOUT 40% OF THESE CROPS ARE PERENNIAL REQUIRING LONG-TERM MANAGEMENT AND PLANNING. AI-BASED SOLUTIONS THAT OVERCOME THESE CHALLENGES FOR SPECIALTY CROPS WILL BE MORE READILY TRANSFERRABLE TO OTHER REGIONS ACROSS THE COUNTRY AND GLOBALLY.IF SUCCESSFUL THE AGAID INSTITUTE'S WORK WILL LEAD DIRECTLY TO THE LAUNCH OF SEVERAL AI-POWERED SYSTEMS USED IN AGRICULTURE IN THE NEAR FUTURE. MORE IMPORTANTLY THE EXPERIENCE OF SUCCESSFULLY MOVING AI FROM THE LAB TO OPERATIONS WILL FORM A BLUEPRINT FOR RAPIDLY ADDRESSING NEW AGRICULTURAL CHALLENGES WITH AI. IN THIS WAY THE AGAID INSTITUTE WILL PROVIDE LONG-TERM LEADERSHIP IN GENERATING PRACTICAL REAL-WORLD SOLUTIONS TO ADDRESS THE COMPLEX WEB OF CHALLENGES PRESENTED BY A GROWING POPULATION AND AN INCREASED DEMANDS ON NATURAL AND HUMAN RESOURCES.
$20,000,000Washington State University · · FY2021 · National Institute of Food and Agriculture
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** OUR PLANET FACES A DAUNTING CHALLENGE: BY THE END OF THE CENTURY, WORLD POPULATION WILL INCREASE BY 45%, CROPLAND WILL DECREASE BY 20% AND OUR CLIMATE WILL BECOME INCREASINGLY VARIABLE, THREATENING CROPS AND PUTTING COMMUNITIES AT RISK. WE NEED TO INCREASE AGRICULTURAL PRODUCTIVITY BY 70% TO MEET OUR GROWING FOOD SECURITY NEEDS - A CHALLENGE WE ARE NOT ABLE TO MEET UNDER OUR CURRENT RATE OF PROGRESS.NOW IMAGINE A TRULY GAME-CHANGING TECHNOLOGY THAT CAN GREATLY ACCELERATE THIS PROGRESS. IT ALREADY EXISTS IN THE FORM OF ARTIFICIAL INTELLIGENCE (AI). USING ADVANCED SENSOR TECHNOLOGY, SCIENTISTS CAN CREATE DIGITAL TWINS - VIRTUAL SIMULATIONS THAT MIMIC REAL-WORLD PLANTS, CROPS AND FARMS. FOR EVERY YEAR OF BIOLOGICAL DATA, DIGITAL TWIN-BASED AI SYSTEMS CAN CREATE HUNDREDS OF REALITY-BASED SIMULATIONS THAT CAN:STREAMLINE AND REVOLUTIONIZE PLANT BREEDING TO HELP SCIENTISTS DEVELOP IMPROVED CROP VARIETIES THAT CAN BETTER WITHSTAND ENVIRONMENTAL, PEST AND DISEASE CHALLENGES WHILE DELIVERING HIGHER YIELDS AND QUALITY.HELP FARMERS AND THEIR ADVISORS ADOPT IMPROVED FARMING TECHNIQUES AND TECHNOLOGIES THAT CAN BOOST THEIR PROFITS AND HELP IMPROVE THE LONG-TERM CARE OF THEIR CRITICAL LAND AND SOIL RESOURCES.PROVIDE GOVERNMENTS WITH THE INSIGHT THEY NEED TO ENCOURAGE AND INCENTIVIZE ADOPTION OF POLICIES AND PRACTICES THAT DELIVER THE MOST BENEFIT WITH THE LEAST ENVIRONMENTAL COST.GIVE AGRICULTURAL COMPANIES THE DATA AND KNOWLEDGE NEEDED TO DEVELOP MORE EFFECTIVE PRECISION MANAGEMENT SYSTEMS AND IMPROVED PLANT VARIETIES THAT THRIVE WITH LESS WATER, FERTILIZER AND PESTICIDES.DRIVE ECONOMIC DEVELOPMENT ACROSS THE RURAL LANDSCAPE THROUGH AI-INSPIRED VENTURES.THE LEADERS OF THE AI INSTITUTE FOR RESILIENT AGRICULTURE (AIIRA) BELIEVE THESE BREAKTHROUGHS - AND MORE - CAN BE A REALITY IN THE VERY NEAR FUTURE. THE INSTITUTE IS BRINGING TOGETHER AI EXPERTS WITH PLANT BREEDERS, AGRONOMISTS, GENETICISTS AND SOCIAL SCIENTISTS TO ACCELERATE THE ADAPTATION AND USE OF AI-BASED TECHNOLOGIES TO TRANSFORM AGRICULTURE TO MEET THE NEEDS OF OUR WORLD'S GROWING POPULATION AND INCREASINGLY CLIMATE-CHALLENGED FOOD SYSTEMS.
$20,000,000Iowa State University Of Science And Technology · · FY2021 · National Institute of Food and Agriculture
Trans-Omics for Precision Medicine (TOPMed) Artificial Intelligence Coordinating Center (AI-CC)
$20,000,000Rebecca Montalvan · Westat, Inc. · OT2 · FY2025 · HL
IN THE RECENT PAST ESPECIALLY THE LAST HALF OF THE TWENTIETH CENTURY ADVANCES IN IRRIGATION FERTILIZATION MECHANIZATION AND BREEDING HAVE HELPED AGRICULTURE KEEP PACE WITH THE GROWTH IN WORLD POPULATION. THIS SUCCESS HOWEVER HAS COME AT ENORMOUS COSTS TO THE ENVIRONMENT AND HUMAN HEALTH: DUE TO OVERUSE OF CHEMICALS AND ANTIBIOTICS SOIL DEGRADATION AND EROSION INCREASED HERBICIDE RESISTANCE FERTILIZER RUNOFF ETC. TODAY WE ARE FACED WITH THE CHALLENGE OF FEEDING AN ADDITIONAL 2-3 BILLION PEOPLE BY 2050 DESPITE LABOR AVAILABILITY AND ARABLE LAND DECREASING AND ENVIRONMENTAL CONSTRAINTS INCREASING. CONVENTIONAL AS-PRACTICED TECHNOLOGIES CANNOT SOLVE THESE LOOMING FUNDAMENTAL CHALLENGES IN A SUSTAINABLE MANNER.ADVANCES IN THE THEORY AND PRACTICE OF ARTIFICIAL INTELLIGENCE (AI) PLAY AN IMPORTANT ROLE IN ADDRESSING THESE CHALLENGES IN TWO KEY WAYS. FIRST IMPROVEMENTS IN AUTONOMY AND HUMAN-AUGMENTED SYSTEMS CAN INCREASE AGRICULTURAL OUTPUT WHILE ALSO REDUCING HARMFUL ENVIRONMENTAL IMPACT WITH FIXED OR EVEN SLIGHTLY REDUCED LABOR REQUIREMENTS E.G. BY ALLOWING FAR MORE DETAILED MONITORING AND DECISION-MAKING IN LARGE-SCALE PRODUCTION OF BOTH CROPS AND LIVESTOCK. SECOND AI RESEARCH CAN YIELD NEW TECHNIQUES FOR DECISION-MAKING BASED ON AGRICULTURAL DATA WHICH COMES FROM HIGHLY DIVERSE SOURCES AND WHICH SPANS INCREASINGLY WIDE SPATIAL SCALES FROM INDIVIDUAL PLANTS TO WHOLE REGIONS AND WIDELY VARYING TIME SCALES FROM SECONDS TO ENTIRE SEASONS.THE AIFARMS INSTITUTE WILL DEVELOP AND DEMONSTRATE THE ADVANCES IN AI NECESSARY TO ADDRESS THE MAJOR CHALLENGES FACING WORLD AGRICULTURE BY COMBINING BASIC RESEARCH NOVEL EXPERIMENTAL FACILITIES STATE-OF-THE-ART DATA ANALYTICS AND EVENTUALLY EVALUATION IN PRODUCTION SETTINGS. FARMERS WILL BE INVOLVED IN ALL STAGES OF THE WORK FROM IDENTIFYING PRACTICAL CONSTRAINTS ON TECHNOLOGICAL SOLUTIONS TO EVALUATING THEM IN THE FIELD AND PROVIDING FEEDBACK ON THE INCENTIVES AND BARRIERS TO THEIR ADOPTION. THE INSTITUTE WILL WORK WITH TECHNOLOGY AND AGRICULTURE COMPANIES TO TRANSFER THE OUTCOMES OF THE RESEARCH INTO PRODUCTION USE. MULTIDISCIPLINARY EDUCATIONAL PROGRAMS SPANNING COMPUTER SCIENCE AND AGRICULTURE WITH INCREASED AI CONTENT WILL DEVELOP THE SKILLED WORKFORCE NEEDED TO DEVELOP DEPLOY AND SUPPORT THESE ADVANCED TECHNOLOGIES IN COMPLEX MODERN AGRICULTURAL OPERATIONS. EDUCATION AND FARMER TRAINING PROGRAMS WILL BE CAREFULLY DESIGNED TO INCREASE PARTICIPATION OF UNDERREPRESENTED AND DISADVANTAGED GROUPS IN BOTH AGRICULTURE AND RELEVANT STEM DISCIPLINES.IF AIFARMS IS SUCCESSFUL IT WILL LEAD TO TECHNOLOGICAL ADVANCES THAT ENABLE FARMERS TO INCREASE FOOD PRODUCTION AND PROFITABILITY IN THE LONG TERM TO DO SO WITHOUT WORSENING ENVIRONMENTAL HARMS TO BE MUCH MORE RESILIENT TO CLIMATE CHANGE AND TO ABSORB STEADILY DECLINING AGRICULTURAL LABOR. IT WILL LEAD TO FOUNDATIONAL ADVANCES IN AI THAT WILL HAVE BROAD BENEFITS IN MANY OTHER AREAS. IT WILL ALSO LEAD TO A MORE DIVERSE AGRICULTURE AND TECHNOLOGYWORKFORCE.
$19,998,042University Of Illinois · · FY2020 · National Institute of Food and Agriculture
iDigBio: Sustaining the digitization, mobilization, accessibility, and use of biodiversity specimen data in U.S. museum and academic collections
$19,995,068Roy M Nelson · University Of Florida · · FY2021 · BIO
AI Institute in Dynamic Systems
$19,751,560Steven Brunton · University Of Washington · · FY2021 · ENG
AI Institute for Advances in Optimization
$19,676,744Pascal R Van Hentenryck · Georgia Tech Research Corporation · · FY2021 · ENG
NSF Engineering Research Center for Hybrid Autonomous Manufacturing Moving from Evolution to Revolution (ERC-HAMMER)
$19,428,166Glenn S Daehn · Ohio State University, The · · FY2022 · ENG
Infectious Diseases Collaborative Technological Research Resources - Bethesda
$19,256,399James Cherry · National Institute Of Allergy And Infectious Diseases · ZIC · FY2025 · AI
AI Institute for Adult Learning and Online Education (ALOE)
$18,453,896Ashok K Goel · Georgia Tech Research Corporation · · FY2022 · EDU
Materials Research Science and Engineering Center
$17,850,000Jennifer A Lewis · Harvard University · · FY2020 · MPS
Science and Technology Center for Quantitative Cell Biology
$17,300,012Zaida A Luthey-Schulten · University Of Illinois At Urbana-Champaign · · FY2023 · BIO
Institute for Trustworthy AI in Law and Society (TRAILS)
$17,190,048Hal Daumé · University Of Maryland, College Park · · FY2023 · CSE
Infectious Diseases Collaborative Technological Research Resources - Bethesda
$16,477,283James Cherry · National Institute Of Allergy And Infectious Diseases · ZIC · FY2024 · AI
Center for Alzheimer's and Related Dementias (CARD): Harmonized Data-Derived Resources for the Alzheimer's Disease and Related Dementias Community
$16,309,444Andrew Singleton · National Institute On Aging · ZIA · FY2024 · AG
HDR Institute: Accelerated AI Algorithms for Data-Driven Discovery
$16,250,000Shih-Chieh Hsu · University Of Washington · · FY2021 · MPS
Natural Hazards Engineering Research Infrastructure: Cyberinfrastructure (DesignSafe) 2020-2025
$16,091,422Ellen M Rathje · University Of Texas At Austin · · FY2020 · ENG