← LeaderboardsInvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
University Of California, Davis
$894,278,705
Total funding
1,127
Grants
Funding over time
peak $102.1M · FY2008–25$200M$150M$100M$50M$0
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
USDA$299,030,461 · 496
DOE$282,149,669 · 231
DOD$247,920,042 · 288
NASA$65,178,532 · 112
By mechanism
—$894,278,705 · 1127
Investigators at University Of California, Davis
InvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Exposure= the full size of every grant they're on ($1M each).
Rising Stars
First grant in the last 5 yrs
Not enough data
Emerging Leaders
6–10 yrs in
Not enough data
All-Time
Most funded here, all years
Not enough data
Largest grants
HIGH ENERGY PARTICLE PHYSICS RESEARCH$29,795,000
· FY2013 · Department of Energy
SCI: BRIDGING THE GAP WITH BIOLOGICAL AND ELECTRONIC SYSTEMS$26,089,306
· FY2020 · Department of the Navy
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.$20,189,383
· FY2020 · National Institute of Food and Agriculture
AN INTEGRATED EVALUATION OF THE SIMULATED HYDROCLIMATE SYSTEM OF THE CONTINENTAL US$15,299,999
· FY2017 · Department of Energy
TO SAFELY EXECUTE THE HUMAN-EXPLORATION MISSIONS CURRENTLY BEING PROPOSED BY NASA THE DESIGN OF DEEP-SPACE HABITATS REQUIRES A FUNDAMENTALLY DISRUPTIVE APPROACH ONE THAT RELIES NOT ONLY ON TRADITIONAL SUBSYSTEM RELIABILITY ENGINEERING AND PROBABILISTIC RISK ANALYSIS BUT ON EMERGENT TECHNOLOGIES IN AUTONOMOUS SYSTEMS FAILURE-TOLERANT DESIGN HUMAN/AUTOMATION TEAMING DENSE SENSOR POPULATIONS DATA SCIENCE MACHINE LEARNING ROBOTIC MAINTENANCE AND ON-BOARD MANUFACTURING. ACCORDINGLY THE HOME STRI FOR DEEP SPACE HABITAT DESIGN WILL SYNTHESIZE THE IDEAS AND BACKGROUNDS OF A UNIQUELY EXPERIENCED DIVERSE AND OPERATIONALLY PRAGMATIC RESEARCH TEAM WITH INITIALLY-LOW TRL INNOVATIVE TECHNOLOGIES TO PROVIDE A 5-YEAR FLOW OF RESEARCH DELIVERABLES THAT COMPRISE A NEW PARADIGM FOR RESILIENT AUTONOMOUS AND SELF-MAINTAINED DEEP-SPACE HABITATS FOR HUMAN EXPLORERS. THE SCOPE OF THE HOME STRI S RESEARCH WILL BE DRIVEN BY THE TWO PRIMARY OPERATIONAL REQUIREMENTS OF DEEP-SPACE HABITATS: 1) KEEP HUMANS ALIVE WHILE THEY ARE RESIDENT 2) KEEP THE VEHICLE ALIVE WHILE THEY ARE NOT. THE PRIMARY DELIVERABLE OF THE HOME STRI RESEARCH IS A CLASS OF NOVEL DESIGN METHODOLOGIES BEST PRACTICES AND ANALOG-VALIDATED DESIGN TOOLS. OUR APPROACH WILL DRAW FROM FUNCTION-BASED ANALYSIS OF THE SPACECRAFT AND TASK ALLOCATION OPTIONS FROM WHICH A COMBINATION OF CURRENT VALIDATED TECHNOLOGIES EXTENDED SIGNIFICANTLY BY MODERN DEVELOPMENTS IN AUTONOMY SYSTEM RESILIENCE SELF-MAINTENANCE ROBOTICS AND AI WILL BE IDENTIFIED EVALUATED AND DEMONSTRATED. THIS FUNCTIONAL-NEEDS BASED APPROACH TO SMARTHAB DESIGN RESULTS IN THE FOLLOWING BROAD CATEGORIES OF RESEARCH: A. AUTONOMOUS FUNCTIONALITY B. VEHICLE SYSTEMS ENGINEERING FUNCTIONAL REQUIREMENTS OPERATIONS CONCEPT C. HUMAN HABITABILITY D. ROBUST/RELIABLE VEHICLE OPERABILITY. OUR GUIDING PHILOSOPHY IS INTELLIGENT APPLICATION OF SMART-SYSTEMS TECHNOLOGY. ACCORDINGLY IN EACH OF THE ABOVE RESEARCH TOPICS THE HOME STRI WILL INCORPORATE STATE-OF-THE-ART TECHNOLOGIES (FROM THE FIELDS OF SPACEFLIGHT AVIATION MANUFACTURING BUILDING SCIENCE ROBOTICS MEDICINE) AND THEN WILL PUSH BEYOND CURRENT PRACTICE TO FORMULATE MISSION-RELEVANT NEW RESEARCH WITH A CONVERGENT FOCUS ON AN INTELLIGENTLY-AUTONOMOUS FUNCTIONALLY-DRIVEN REALISTICALLY-ACHIEVABLE HABITAT DESIGN.$15,000,000
· FY2020 · National Aeronautics and Space Administration
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** URGENT ACTION IS NEEDED FOR SUSTAINABLEINCREASES IN WHEAT PRODUCTIVITY TO FEED A GROWING HUMAN POPULATION IN RAPIDLY CHANGING GROWING ENVIRONMENTS. WHEAT VARIETIES DEVELOPED BY PUBLIC WHEAT BREEDING PROGRAMS ACCOUNT FOR ~60% OF THE US WHEAT ACREAGE AND CONTRIBUTE >$4 BILLION IN ANNUAL PRODUCTION VALUE. FURTHER INCREASES IN PRODUCTIVITY ARE REQUIRED TO MAINTAIN COMPETITIVENESS OF US WHEAT. THIS PROJECT WILL ESTABLISH A NATIONALLY COORDINATED CONSORTIUM OF PUBLIC WHEAT BREEDERS AND RESEARCHERS TO ACCELERATE RATES OF IMPROVEMENT IN GRAIN YIELD. BREEDING CYCLES WILL BE SHORTENED BY IMPLEMENTING HIGH-THROUGHPUT GENOTYPING AND PHENOTYPING TECHNOLOGIES INTEGRATED WITH A CENTRALIZED DATA STORAGE AND INFORMATICS ANALYSIS PLATFORM. TO ADDRESS NATIONAL NEEDS FOR MORE PLANT BREEDERS, THIS PROJECT WILL PROVIDE MULTIDISCIPLINARY TRAINING IN MODERN PLANT BREEDING TO A COHORT OF 20 PHD STUDENTS PLACED IN ACTIVE BREEDING PROGRAMS. THE SPECIFIC OBJECTIVES OF THE PROJECT ARE TO I) IMPLEMENT GENOMIC SELECTION (GS) IN PUBLIC WHEAT BREEDING PROGRAMS, II) IMPLEMENT AN UNMANNED AIRCRAFT SYSTEM (UAS) HIGH-THROUGHPUT PHENOTYPING (HTP) CENTRALIZED DATA ANALYSIS PIPELINE, III) DEVELOP DECISION SUPPORT TOOLS WITHIN BREEDBASE TO ENABLE GS IMPLEMENTATION IN THE BREEDING PROGRAMS, IV) CHARACTERIZE NATURAL AND INDUCED REGULATORY VARIANTS AFFECTING GENE EXPRESSION IN WHEAT AND INTEGRATE THEM INTO OUR GS PLATFORMS, V) TRAIN A NEW COHORT OF 20 PLANT BREEDERS. THIS PROJECT ADDRESSES THE INTEGRATED EDUCATION AND RESEARCH PRIORITIES IN THE FOLLOWING FOCUS AREAS: I) INTEGRATION BETWEEN GENOTYPING AND HIGH-THROUGHPUT PHENOTYPING FOR SOURCE- AND SINK- RELATED TRAITS, II) IMPLEMENTATION OF GENOMIC SELECTION APPROACHES INTO ACTIVE PUBLIC BREEDING PROGRAMS AND CULTIVAR PRODUCTION, AND III) FUNCTIONAL GENOMIC STUDIES TO IDENTIFY PATHWAYS AFFECTING PLANT PRODUCTIVITY AND DEPLOYMENT OF THIS INFORMATION INTO GENOMIC SELECTION.$15,000,000
· FY2022 · National Institute of Food and Agriculture
RESEARCH ON QUANTUM GRAVITY$14,390,400
· FY2008 · Department of Energy
A RANDOMIZED CLINICAL TRIAL OF GANAXOLONE FOR THE TREATMENT OF SEVERE TRAUMATIC BRAIN INJURY$13,958,492
· FY2009 · Department of Defense
NEW; SISGR: PHOTORECEPTOR REGULATION AND OPTIMIZATION OF ENERGY HARVESTING IN NOSTOC PUNCTIFORME; PI: J. CLARK LAGARIAS$11,091,899
· FY2009 · Department of Energy
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** THIS PROJECT SUPPORTS THE MISSION OF THE AGRICULTURAL EXPERIMENT STATION BY ADDRESSING THE HATCH ACT AREA(S) OF: SOIL AND WATER CONSERVATION AND USE; SUSTAINABLE AGRICULTURE.THE OVERALL GOAL OF THIS PROJECT IS TO ENSURE FOOD AND NUTRITIONAL SECURITY OF THE UNITED STATES (US) BY SUSTAINING IRRIGATED AGRICULTURE IN THE SOUTHWEST US UNDER CHANGING CLIMATE, WHILE ADDRESSING THE CO-BENEFITS FOR THE ENVIRONMENT AND HUMAN HEALTH. MAJOR SOUTHWESTERN AQUIFER SYSTEMS INCLUDING THE CENTRAL VALLEY AQUIFER OF CALIFORNIA, CENTRAL ARIZONA ALLUVIAL AQUIFER AND THE LOWER RIO GRANDE BASIN IN NEW MEXICO ARE EXPERIENCING UNPRECEDENTED OVERDRAFT AS GROWERS INCREASINGLY DEPEND ON GROUNDWATER BECAUSE OF CLIMATE CHANGE INDUCED MULTI-YEAR DROUGHTS AND HEAT STRESS. THIS INTERDISCIPLINARY PROJECT AIMS TO ALLEVIATE GROUNDWATER OVERDRAFT AND SUSTAIN IRRIGATED AGRICULTURE IN THE SOUTHWEST US BY DEVELOPING CLIMATE CHANGE ADAPTATION MANAGEMENT STRATEGIES; INTEGRATED MODELING, DATA, AND DECISION SUPPORT TOOLS FOR ASSESSING THE SUSTAINABILITY OF GROUNDWATER AND IRRIGATED AGRICULTURE; AND SOCIOECONOMICS TOOLS FOR GROUNDWATER GOVERNANCE. WE WILL ALSO DEVELOP INNOVATIVE EDUCATION PROGRAMS AND NOVEL EXTENSION PROGRAMMING TO SUPPORT SUSTAINABLE GROUNDWATER AND IRRIGATED AGRICULTURAL SYSTEMS. THIS INTEGRATED MULTIDISCIPLINARY PROJECT IS COMPLEX WITH LINKAGES BETWEEN ITS DIFFERENT COMPONENTS INCLUDING SYSTEM DRIVERS (CLIMATE CHANGE, REGULATIONS, MARKETS), MODELS (GEOPHYSICAL, HYDROLOGY, BIOPHYSICAL, SOCIOECONOMICS), CLIMATE CHANGE ADAPTATION MANAGEMENT STRATEGIES (MANAGED AQUIFER RECHARGE, SOIL HEALTH, DESALINATION OF BRACKISH GROUNDWATER, WATER PRICING), AND SYSTEM ANALYSIS DECISION SUPPORT TOOLS. THREE INTERCONNECTED RESEARCH OBJECTIVES AND CORRESPONDING ACTIVITIES ARE FULLY INTEGRATED WITH EDUCATION AND EXTENSION OBJECTIVES. BY DEVELOPING MANAGEMENT PRACTICES THAT ADDRESS GROUNDWATER SUSTAINABILITY, CLIMATE CHANGE ADAPTATION MANAGEMENT STRATEGIES, EDUCATION AND EXTENSION PROGRAMS, THIS STUDY WILL HAVE A MAJOR IMPACT ON FOOD AND NUTRITIONAL SECURITY OF THE US.$10,000,000
· FY2021 · National Institute of Food and Agriculture
VALIDATION, CHARACTERIZATION AND DEPLOYMENT OF QTL FOR GRAIN YIELD COMPONENTS IN WHEAT$9,681,091
· FY2017 · National Institute of Food and Agriculture
A COMPUTATIONAL COGNITIVE NEUROSCIENCE APPROACH TO UNDERSTANDING EVENT REPRESENTATION AND EPISODIC MEMORY$8,498,463
· FY2017 · Department of the Navy
PREDICTING AND CONTROLLING SYSTEMS OF INTERDEPENDENT NETWORKS_EXPLOITING INTERDEPENDENCE FOR CONTROL$7,375,000
· FY2013 · Department of the Army
MILLIMETER-WAVE DENSITY FLUCTUATION DIAGNOSTICS FOR NSTX$6,867,659
· FY2009 · Department of Energy
THE OVERALL GOAL OF THIS PROJECT IS TO INSURE THE SAFE, EFFECTIVE AND ECONOMICAL MANAGEMENT OF PESTS (WEEDS, INSECTS, DISEASES AND OTHER ORGANISMS) THAT ATTACK SPECIALTY CROPS (VEGETABLES, FRUITS, NUTS, AND ORNAMENTAL HORTICULTURE PLANTS). THIS PROJECT GENERATES DATA THAT IS USED TO REGISTER CROP PROTECTION CHEMICALS FOR SPECIALTY CROPS.$6,750,610
· FY2019 · National Institute of Food and Agriculture
INFORMATION ENGINES_NANOSCALE CONTROL, COMPUTING, AND COMMUNICATION OUT OF EQUILIBRIUM$6,383,943
· FY2013 · Department of the Army
ARSENAL: A CROSS LAYER ARCHITECTURE FOR SECURE RESILIET TACTICAL MOBILE ADHOC NETWORKS$6,367,907
· FY2008 · Department of the Army
IR-4 MINOR CROP PEST MANAGEMENT$6,344,270
· FY2017 · National Institute of Food and Agriculture
INNOVATIVE DIAGNOSTIC DEVELOPMENTS FOR TURBULENCE AND TRANSPORT MEASUREMENT AND VISUALIZATION$5,963,709
· FY2010 · Department of Energy
SCIDAC INSTITUTE FOR ULTRA SCALE VISUALIZATION$5,581,118
· FY2008 · Department of Energy