Sort
48,453 grants matching “machine learning”
Data and Technical Development Core
$639,587Samprit Banerjee · Weill Medical Coll Of Cornell Univ · P01 · FY2022 · AG
Structural Racism and Disparities in Social Risk, Human Capital, Health Care Resources, and Health Outcomes: A Multi-level Analysis of Pathways and Policy Levers for Change
$639,545Leonard E. Egede · Medical College Of Wisconsin · R01 · FY2023 · MD
Biomimetic Vascular Matrix for Vascular Smooth Muscle Cell Mechanobiology and Pathology
$639,543Yongho Bae · State University Of New York At Buffalo · R56 · FY2022 · HL
Administrative Core of the CIFASD
$639,490Edward P Riley · San Diego State University · U24 · FY2012 · AA
Digital Pathology_Accuracy Viewing Behavior and Image Characterization
$639,475Joann G Elmore · University Of Washington · R01 · FY2015 · CA
CAREER: Foundations of Machine Learning-Enhanced Branch-and-Bound Algorithms for Scalable Global Optimization
$639,433Rohit Kannan · Virginia Polytechnic Institute And State University · · FY2026 · ENG
Artificial Intelligence to Predict Outcomes in Patients with Acute Kidney Injury on Continuous Renal Replacement Therapy
$639,420Javier A. Neyra · University Of Alabama At Birmingham · R01 · FY2024 · DK
DMREF: Collaborative Research: Digital Magnetic Handshake Materials, Structures, and Machines
$639,360Michael P Brenner · Harvard University · · FY2019 · MPS
Precision Medicine Approach to Glucocortisteroids in Sepsis
$639,291Sachin Yende · University Of Pittsburgh At Pittsburgh · R01 · FY2023 · GM
Predicting Breast Cancer Risk after Benign Percutaneous Biopsy
$639,236Mark E Sherman · Mayo Clinic Jacksonville · R01 · FY2022 · CA
Equitable and accessible wearable device for continuous calculation of blood loss for postpartum hemorrhage
$639,165Christine M O'Brien · Washington University · R01 · FY2025 · HL
Prostate-cancer Imaging by Combined Ultrasound and Magnetic-resonance Parameters
$639,137Ernest Joseph Feleppa · Riverside Research Institute · R01 · FY2011 · CA
High-dose Vitamin D Supplementation for ADT-Induced Bone Loss in Older Prostate Cancer Patients
$639,100Luke Joseph Peppone · University Of Rochester · R01 · FY2025 · CA
Core D: Analysis Core
$639,066Michael Paul Lavalley · Boston University Medical Campus · U19 · FY2023 · AG
Outcome-Driven Approach to Minimize the Risks of Facial Distortion Following CMF Surgery
$639,053Jaime Gateno · Methodist Hospital Research Institute · R01 · FY2022 · DE
Center for Critical Assessment of Structure Prediction (CASP)
$638,990Krzysztof A Fidelis · University Of California At Davis · R01 · FY2024 · GM
Center for Critical Assessment of Structure Prediction (CASP)
$638,990Krzysztof A Fidelis · University Of California At Davis · R01 · FY2023 · GM
Center for Critical Assessment of Structure Prediction (CASP)
$638,990Krzysztof A Fidelis · University Of California At Davis · R01 · FY2022 · GM
Center for Critical Assessment of Structure Prediction (CASP)
$638,990Krzysztof A Fidelis · University Of California At Davis · R01 · FY2021 · GM
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study
$638,984Ravi Shah · Massachusetts General Hospital · R01 · FY2021 · AG
Machine Learning to Optimize Management of Acute Hydrocephalus
$638,971Soojin Park · Columbia University Health Sciences · R01 · FY2025 · NS
Automated Assessment of Neurodevelopment in Infants at Risk for Motor Disability
$638,894Michelle J. Johnson · University Of Pennsylvania · R01 · FY2023 · HD
Predicting Epilepsy Surgery Outcomes Using Neural Network Architecture
$638,854Leonardo F Bonilha · Medical University Of South Carolina · R01 · FY2021 · NS
Multi-tissue High-throughput Proteomic and Genomic Study in Parkinson's Disease
$638,841Bruno A. Benitez · Beth Israel Deaconess Medical Center · R01 · FY2023 · NS
** 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 PROPOSAL RESPONDS TO THE ECONOMICS, MARKETS, AND TRADE PROGRAM PRIORITY OF DEVELOPMENT OF INNOVATIVE EMPIRICAL METHODS FOR ADDRESSING ECONOMIC ANALYSIS USING BIG DATA, MACHINE LEARNING, AND NATURAL LANGUAGE PROCESSING TECHNIQUES. WE COMBINE PRINCIPAL-AGENT INCENTIVE DESIGN MODELS, MACHINE LEARNING, AND EXPERIMENTAL ECONOMICS TO GENERATE SYSTEMATIC KNOWLEDGE ABOUT HOW BEHAVIORAL NUDGE OUTCOMES ARE AFFECTED BY HETEROGENEITY AND CONTEXTUAL FACTORS. IMPROVING THE METHODOLOGY OF BEHAVIORAL NUDGING CAN SUPPORT IMPROVED POLICY IN THE AREAS OF HEALTH AND NUTRITION, AND SUSTAINABLE AGRICULTURAL, WHICH ARE BROAD PRIORITIES FOR AFRI FUNDING.RECENT ACADEMIC PAPERS HAVE SUGGESTED THAT PUBLICATION BIAS HAS OVERSTATED THE IMPACT OF NUDGES AND THAT NUDGE OUTCOMES ARE HIGHLY SENSITIVE TO HETEROGENEITY AND CONTEXT. WE KNOW OF NO STUDIES THAT ATTEMPT TO CAPTURE THIS SENSITIVITY IN A SYSTEMATIC WAY. THE OBJECTIVE OF THIS GRANT PROPOSAL IS TO FILL THIS KNOWLEDGE GAP.WE PROPOSE THAT NUDGE DESIGN CAN BE FRAMED AS A MODIFIED PRINCIPAL-AGENT PROBLEM WHERE THE PRINCIPAL CHOOSES DISCRETE NUDGE STRATEGIES RATHER THAN MONETARY INCENTIVES. BY REFRAMING NUDGES AS AN INCENTIVE PROBLEM, WE HAVE A SYSTEMATIC FRAMEWORK FOR EVALUATING THE UNDERLYING MECHANISMS THAT DRIVE UNEVEN RESPONSES TO NUDGES. HOWEVER, GIVEN THE HUGE VARIETY OF NUDGE ARCHITECTURES, WE MUST ALSO USE THE TEXT PROCESSING CAPABILITIES OF MACHINE LEARNING IN COMBINATION WITH EXISTING DATA ON NUDGE INTERVENTIONS TO REDUCE THE DIMENSIONALITY OF NUDGE TYPES AND TO IDENTIFY IMPORTANT CONTEXTUAL FACTORS. EXPERIMENTAL ECONOMICS WILL BE USED TO TEST WHETHER THE UNEVENNESS OF RESPONSES TO NUDGES CAN BE ATTRIBUTED TO FAILURES OF INCENTIVE COMPATIBILITY ACROSS DOMAINS.
$638,835Purdue University · · FY2023 · National Institute of Food and Agriculture