Grants and Funding Opportunities

• NIH Data Book:  provides analysis and visualization of NIH grants 

• NIH RePORTER: allows search of grants for individual researchers

• NIH ExPORTER: provides summary data of all grants in each fiscal year  

• NIH Parent Announcements: nih funding notices 

  • K99/R00: 20240510-20270508 

  • R21: 20250116-20280108

  • R03: 20250116-20280108  

  • R01: 20250105-20280108

  • R43: 20240805-20250406

  • R35-EIA: 20250119-20270429

  • R35-OIA:   20250119-20270429

  • R35-MIRA-ESI: 20230903-20260204

  • R35-MIRA: 20221217-20250517  

  • Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R01 Clinical Trial Not Allowed) 

  • Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R21 Clinical Trials Not Allowed)

  • Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R21 Clinical Trials Not Allowed)  

  •  Contraceptive Development Research Centers (P50 Clinical Trial Optional)  

  • IDeA Clinical and Translational Research Network (CTR-N) Award (P50 - Clinical Trial Optional)  

  • Bioengineering Partnerships with Industry (U01 Clinical Trial Optional)  

  • Clinical and Translational Science Award (UM1 Clinical Trial Optional)  

  • Biomedical Technology Optimization and Dissemination Center (BTOD)(RM1-Clinical Trial Not Allowed)  

  • Limited Competition: Data Analysis and Sharing Center (DASC) for the MACS/WIHS Combined Cohort Study (MWCCS) (U01 Clinical Trials Not Allowed)  

  • Imaging, Biomarkers and Digital Pathomics for the Early Detection of Premetastatic Cancer and Precancerous Lesions Associated with Lethal Phenotypes (R01 Clinical Trial Optional)  

  • Academic-Industrial Partnerships (AIP) to Translate and Validate In Vivo Imaging Systems (R01 Clinical Trial Optional)  

  • Using Innovative Digital Healthcare Solutions to Improve Quality at the Point of Care (R21/R33 - Clinical Trial Optional)  

  • Limited Competition: Clinical and Translational Science Award (CTSA) Program: Collaborative and Innovative Acceleration Award (UG3/UH3 Clinical Trial Optional)  

  • D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)  

  • Academic-Industrial Partnerships for Translation of Technologies for Diagnosis and Treatment (R01 - Clinical Trial Not Allowed)  

  • Limited Competition: Small Grant Program for the NCATS Clinical and Translational Science Award (CTSA) Program (R03 Clinical Trial Optional)  

  • Advanced-Stage Development and Utilization of Research Infrastructure for Interdisciplinary Aging Studies (R33 Clinical Trial Optional)  

  • Research Infrastructure Development for Interdisciplinary Aging Studies (R61/R33 - Clinical Trial Optional)  

  • Dissemination and Implementation Research in Health (R01 Clinical Trial Optional)  

  • NEI Clinical Research Study Planning Grant Program (R34 Clinical Trial Not Allowed)  

  • Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)  

  • Trailblazer Award for New and Early Stage Investigators (R21 Clinical Trial Optional)  

  • Academic-Industrial Partnerships for Translation of Technologies for Diagnosis and Treatment (R01 - Clinical Trial Optional)  

  • Limited Competition: High Impact Specialized Innovation Programs in Clinical and Translational Science (RC2 Clinical Trials Optional)  

  • Innovative Screening Approaches and Therapies for Screenable Disorders in Newborns (R21 - Clinical Trial Optional)  

  • Innovative Screening Approaches and Therapies for Screenable Disorders in Newborns (R01 - Clinical Trial Optional)  

  • Exploratory/Developmental Bioengineering Research Grants (EBRG) (R21 Clinical Trial Not Allowed)  

  • Exploratory/Developmental Bioengineering Research Grants (EBRG) (R21 Clinical Trial Optional)  

  • IDeA Networks of Biomedical Research Excellence (INBRE) (P20 Clinical Trial Optional)  

  • Limited Competition: Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) (P20 - Clinical Trial Optional)  

  • Exploratory Grants in Cancer Control (R21 Clinical Trial Optional)  

  • Modular R01s in Cancer Control and Population Sciences (R01 Clinical Trial Optional)  

  • Academic-Industrial Partnerships for Translation of Technologies for Diagnosis and Treatment (R01 - Clinical Trial Not Allowed)  

  • Academic-Industrial Partnerships for Translation of Technologies for Diagnosis and Treatment (R01 - Clinical Trial Optional)  

  • Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)  

  • National Cancer Institute Program Project Applications for the Years 2023, 2024, and 2025 (P01 Clinical Trial Optional)  

  • NIA Program Project Applications (P01 Clinical Trial Optional)

  • NHLBI Program Project Applications (P01 Clinical Trials Optional)  

  • IDeA Clinical and Translational Research Development (CTR-D) Award (P20-Clinical Trial Optional)  

  • Complex Integrated Multi-Component Projects in Aging Research (U19 Clinical Trial Optional)

• NHLBI

  • R21 PAR-25-056: Secondary analysis of existing datasets in heart, lung, and blood diseases and sleep disorders

  • NOT-OD-23-165: Smart health and biomedical research in the era of artificial intelligence and advanced data science; <= 4 yr x 300k/yr

  • R43/R44 PAR-24-131: Small business transition grant for new entrepreneurs

  • R41/R42 PAR-24-133: Small business transition grant for new entrepreneurs

  • R35 RFA-HL-26-002: Outstanding investigator award

  • R35 RFA-HL-26-003: Emerging investigator award

  • R50 RFA-OD-24-011: Research software engineer

  • R01 PAR-25-144: Dissemination and implementation research in health

  • R44 RFA-HL-26-014: SBIR Phase IIB bridge award to accelerate the commercialization of technologies for heart, lung, blood, and sleep disorders and diseases

  • R03 PA-25-302: Small research grant

  • R01 PA-25-301: Research project grant

  • R01 PAR-25-322: Stephen I. Katz ESI research project grant

• NIBIB

  • C3i Program

  • R21 PA-25-169: Trailblazer award for new and early stage investigator

  • U01 PAR-24-325: Bioengineering partnerships with industry

  • POCTRN

  • Small business program

  • R03 PA-25-302: Small research grant

  • R13 PA-25-080: NIH support for conferences and scientific meetings

1. Development and Translation of Advanced Motion Correction Technologies for Cardiac PET/CT. link

2. Multi-Center Academic-Industrial Partnership for Personalized Al-Enabled High Count PET. Link

3. Personalized Task-Based Respiratory Motion Correction for Low-Dose PET/CT. link

4. Development of advanced cardiac SPECT imaging technologies. Link

5. Quantitative Low-Dose PET Imaging. Link

6. SPECT Imaging of Peripheral Vascular Disease. Link

7. Robust AI to develop risk models in retinopathy of prematurity using deep learning. Link

8. Distributed Learning of Deep Learning Models for Cancer Research. Link

9. Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response. Link

10. Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers. Link

11. Computerized Quantitative Imaging Assessment of Tumor Burden. Link

12. Data Concepts and Terminology Standards in Imaging to Support Human Drug Developm. link

13. Rad-pathomic deep learning models to assist radiologists in differentiating aggressive from indolent prostate cancer on MRI. Link

14. Implications of Spatiotemporal Deep Learning Neural Networks in Echocardiographic Diagnosis and Prognostication of Takotsubo Syndrome. Link

15. Developing a Treatment Planning System for Next Generation Rotating-Shield Brachytherapy. Link

16. Developing Enabling PET-CT Image Analysis Tools for Predicting Response in Radiation Cancer Therapy. Link

17. Accurate Target Delineation and Motion Tracking to Improve IMRT Effectiveness. Link

18. An Accurate Non-Contrast-Enhanced Cardiac MRI Method for Imaging Chronic Myocardial Infarctions: Technical Developments to Rapid Clinical Validation. Link

19. Model Based Deep Learning Framework for Ultra-High Resolution Multi-Contrast MRI. Link

20. High Resolution MRSI for Alzheimer's Disease and Related Dementias. Link

21. Novel Computational Framework for Free-Breathing & Ungated Dynamic MRI. Link

22. Novel algorithm for improved contrast enhanced cardiac MRI. Link

23. Deep Learning Methods for Improving Gallium 68-Based PET Imaging. Link

24. Optimization of Tau PET Imaging for Alzheimer's Disease through Deep Learning-Based Image Reconstruction. Link

25. Optimization of PET Image Reconstruction for Lesion Detection. Link

26. Correction of Partial Volume Effects in PET for Alzheimer's Disease Using Unsupervised Deep Learning. Link

27. Designing Novel MR Imaging Tools to Quantify Lower-Limb Exercise Adaptations in Knee Osteoarthritis. Link

28. Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep Learning. Link

29. Development of SMART on FHIR interoperable clinical decision support for emergency department patients with pneumonia and pilot deployment into novel Epic electronic health record environments. Link

30. Population-level Pulmonary Embolism Outcome Prediction with Imaging and Clinical Data: A Multi-Center Study. Link

31. Gadgetron Global Network and Intelligence Computing: Clinical Imaging Application Development and Software Infrastructure. Link

32. DEVELOPMENT OF A KNOWLEDGE-BASED IMAGE REPORTING SYSTEM. Link

33. COMPUTER-BASED EXPLANATION METHODS FOR DECISION MODELS. Link

34. Flexible NLP toolkit for automatic curation of outcomes for breast cancer patients. Link

35. Biomedical Informatics. Link

36. INTEGRATING OMICS AND QUANTITATIVE IMAGING DATA IN CO-CLINICAL TRIALS TO PREDICT TREATMENT RESPONSE IN TRIPLE NEGATIVE BREAST CANCER. Link

37. Co-Clinical Research Resource for Imaging Tumor Associated Macrophages. Link

38. Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial Intelligence. Link

39. Integrating Artificial Intelligence for Optimal Analysis of CardiacPET/CT. link

40. Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CT. link

41. Integrated analysis of coronary anatomy and biology with 18F-fluoride PET and CT angiography. Link

42. High Performance Automated System for Analysis of Fast Cardiac SPECT. Link

43. AI-enabled characterization of fibrocalcific aortic valve disease and inflammation from CT Angiography: Patient-specific outcome prediction. Link

44. Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT Angiography. Link

45. Automated quantitative CT imaging of epicardial adipose tissue and risk of cardiac events. Link

46. AUTOMATIC QUANTITATIVE CT IMAGING OF PERICARDIAL FAT: A NOVEL ISCHEMIA PREDICTOR. Link

47. Artificial Intelligence Imaging Biomarkers of Longitudinal Cardiovascular Stress. Link

48. Deep Learning Based Phenotyping and Outcomes Prediction for Valvular Heart Disease. Link

49. Deep Learning Assessment of the Right Ventricle: Function, Etiology, and Prognosis. Link

50. Multiparametric PET/MRI Assessment of Mast Cell Stabilization Effects on Inflammaging and Glucose Utilization in Infarcted Myocardium. Link

51. Predicting Pancreatic Ductal Adenocarcinoma (PDAC) Through Artificial Intelligence Analysis of Pre-Diagnostic CT Images. Link

52. Fully Quantitative Low-Dose, Motion-Resolved Dynamic Contrast-Enhanced MRI in Pancreatic Adenocarcinoma. Link

53. Integrating imaging and computation to characterize neural crest cells in the myocardial development and regeneration. Link

54. Improved Whole-Brain Spectroscopic MRI for Radiation Treatment Planning. Link

55. High resolution volumetric MRI for prostate cancer active surveillance. Link

• R21HL181630-01: Natural language processing and machine learning for development of a fontan failure risk prediction model from electronic health records

  • Aim 1: advance biomedical NLP to improve the automatic classification of fontan phenotypes in the cohort

  • Aim 2: develop a generalizable and interpretable pipelines to so that NLP/ML outputs can be traced by domain experts

  • Aim 3: implement data-driven methods to develop a risk prediction model for adverse outcomes in fontan patients

• R21EB033102-02: An affordable and versatile two-dimensional cell isolation and tracking platform based on image machine learning and maskless photolithography single cell encapsulation

  • Aim 1: develop high-speed machine learning-based cell classification module

  • Aim 2: develop a stop flow lithography-based 2D cell sorting platform

  • Aim 3: integrate the machine learning detectopm and maskless lithographi with size-based fitering/sorting into an affordable cell sorter

• R21HL172011-03: Computer-vision and computational fluid dynamic analysis pipeline to improve diagnosis in pediatric subglottic stenosis

  • Aim 1: demonstrate and validate SfM+CFD analysis pipeline on a cohort of patients receiving both endoscopy and CT imaging

  • Aim 2: develop the relationship between parameters measured from the pipeline and identify metrics for predict clinical severity

• R21HL175632-01A1: Evaluation of the efficacy of computer aided exercise ECG reader for automated diagnosis of coronary artery disease

  • Aim 1: evaluate the performance of CAESER as compared to ICA evidence of CAD across large scale symptomatic patient population

  • Aim 2: evaluate the variance in performance of CAESER across gender, race, and SES

• R21EB030677-02: Automated sonographic detection of pulmonary embolism using machine learning algorithm

  • Aim 1: develop a machine learning algorithm for the detection of PE

  • Aim 2: validate the accuracy of ML algorithm to detect PE on echocardiographic image

• R21EB033923-01S1: Navigating ethical frontiers of AI-deirven clinical decision support systems: exploring explainability and bias

  • • Supplement aim 1: analyze ethical guidelines and concerns with AI in genetic screening to assess ethical concerns of integrating AI

    • Supplement aim 2: generate explanations, minimize bias by investigating how different methods of generating explanations and best practices

• R21HL168476-02: Blood biomarkers associated with adverse outcomes in heart failure

  • • Aim 1a: test the association between baseline and increasing levels of serum ST1with composite outcome

    • Aim 1b: test the association between baseline and increased levels of serum ST2 and the outcome of change in eGFRcr-cys

    • Aim 2: investigate which GFR estimate is more predictive of composite outcome

    • Aim 3: analyze data from registry evaluation of vital information for ventricular assist devices in ambulatory life

• R21HL181072-01: Association between blood biomarkers and adverse cardiovascular and kidney outcomes

  • • Aim 1: determine whether higher baseline levels of a subset of prespecified blood biomarkers are associated with cardiovascular outcome

    • Aim 2: determine whether higher baseline levels of blood biomarkers are associated with eGFR decline and increase in UACR

• R21EB032638-04: Towards ultrasound brain imaging via machine-learning-extracted skull profile and speed of sound

  • • Aim 1: develop and evaluate deep learning-based skull profile and SOS extraction algorithm using synthetic data

    • Aim 2: evaluate deep learning algorithms’ performance in skull profile and SOS extraction using experimental data

    • Aim 3: evaluate deep learning algorithms’ performance in transcranial imaging

• R21EB034835-02: Learning-based autonomous decision-support for blood pressure management in hemorrhage resuscitation via population-informed statistical inference

  • • Aim 1: develop a blood pressure prediction algorithm for the LEAD system via population-informed recursive collective inference

    • Aim 2: evaluate the LEAD BP prediction algorithm using clinical dataset

    • Aim 3: realize the LEAD system using a computational user interface platform and conduct simulated real-time testing

• R21EB035382-02: Angiography-derived imaging biomarkers of the coronary microcirculation

  • • Aim 1: develop, test, and validate (a) a recently-developed hybrid intelligence approach to segment major vessel segments and myocardial tissue regions in clinical coronary angiograms, and (b) methods to estimate parameters of blood flow in segmented vessels and perfusion in segmented tissue regions

    • Aim 2: determine optimal imaging biomarkers for coronary microvascular function using two leading methods currently used to quantify conronay microvasculature

• R21EB032950-03: Interpretable deep learning models for analysis of longitudinal 3D mammography screenings

  • • Aim 1: develop a deep learning model for simultaneously leveraging spatial, temporal, and non-imaging clinical information from DBT exams

    • Aim 2: create a new tool to detect breast cancer from longitudinal DBT screenings

    • Aim 3: develop a new model for predicting development of breast cancer based on longitudinal DBT sudies and extract 3D mammographic biomkaers associated with cancer development

• R21HL172119-01A1: Unsupervised machine learning to identify unique clusters of systemic sclerosis pulmonary hypertension patients

  • • Aim 1: use unsupervised ML to identify distinct clusters of systemic sclerosis pre-capability pulmonary hypertension

    • Aim 2: evaluate transplant-free survival and hospitalization rates in the newly identified clusters

• R21HL167126-02: Deep learning of awake and sleep electrocardiography to identify atrial fibrillation risk in sleep apnea

  • • Aim 1: evaluate whether novel heart rate response-based obstructive sleep opnea metrics improve risk prediction of AF beyond the current AF risk prediction model

    • Aim 2: develop and test deep learning model using an awake ECG and sleep ECG to predict new onset AF in general population with obstructive sleep apnea

    • Aim 3: evaluate whether deep learning prediction improves risk prediction of AF beyond the current AF risk prediction model

• R21EB035278-03: Ultrasound-guided robotic histotripsy array system for non-invasive precise and complete ablation of soft tissue sarcoma

  • • Aim 1: development of a novel ultra-high rate histotripsy system that overcomes limitations in the current technology

    • Aim 2: evaluation of the application of the system as entire-tumor, stand-alone treatment of soft tissue sarcomas in pet dogs

• R21EB033985-03 : Rapid free-breathing 3D high-resolution MRI for volumetric liver iron quantification

  • • Aim 1: enable rapid free-breathing ultrathort TE MRI, which acquires images at multiple time point

    • Aim 2: enable retrospectively motion-corrected image reconstruction that makes use of low-rank tensor structure of acquired 3D spatiotemporal volumetric data  

• R21EB034075-02: Deep learning assisted scoring of point of care lung ultrasound for acute decompensated heart failure in the emergency department

  • • Aim 1: develop and evaluate explainable tools for automated quantification of pulmonary congestion using retrospective lung ultrasound data

    • Aim 2: validate the performance of trained models in a workflow demonstrated by a prospective observation study

• R21HL161761-02: Phenotyping heart failure through analysis of secondary data

  • Aim 1: use data from 74K patients to characterize survival and treatment response according to simple characteristics, predictive models, and complex phenotypes

  • Aim 2: validate models from Aim 1, explore novel phenotypes, and describe associated clinical characteristics prior to diagnosis in 10K patients from observation cohorts

• R21EB037268-01: AI-driven hip exoskeleton control framework that rapidly generalizes to a broad range of users and real-world locomotor tasks

  • Aim 1: develop trailblazer exoskeleton control -  a versatile hip exoskeleton control framework

  • Aim 2: evaluate the ability of young and older adults using trailblazer exoskeleton control and three alternative conditions

• R21EB033923-01 : Information-theoretic surprise-driven approach to enhance decision making in healthcare

  • Aim 1: MRI harmonization via amplitudes synchronization to mitigate scanner-to-scanner variability

  • Aim 2: cause inference and information theory to discover the causal relationships between BRCA mutation and imaging phenotypes

1. F31: NIH grant for predoctoral scientists. Link

2. K01: NIH grant for those with research or health-professional doctoral degree to work in epidemiology, computational modelling, or outcomes research. Link

3. K08: NIH grant for those working in biomedical or behavioral research with clinical doctoral degree. link

4. K22: NIH grant for biomedical or behavioral postdoctoral with research doctorate (PhD) and/or clinical doctorate (MD/DVM).

5. K23: NIH grant for people with clinical doctor degree. Link

6. K24: NIH grant for those with health-professional degrees or its equivalent (MD/DO/DDS/DMD/OD/DC/PharmD/ND), or a doctorate degree in a clinical discipline. link

7. K25: NIH grant for those at postdoctoral level to senior faculty level with advanced doctoral (MSEE/PHD/DS) in quantitative science. link

8. (K99) Use of Genetic Information by Life, Long-term Care, and Disability Insurers: Exploring International Lessons, the Domestic Legal Landscape, and Options for U.S Policy. Full Application, Summary Statement 

9. (K99) Ethical, Legal, and Social Implications of Translational Psychiatric Genomics Research. Full Application, Summary Statement

10. (K99) More than just a load control: cytoskeletal form and function during aging. Full Application, Summary Statement

11. (K99) Enhanced Dementia Instruction and Tools in Home Hospice (EDITH-HC). Full Application, Summary Statement

12. (K99) Returning Exome and Whole Genome Results to Underserved Minority Populations. Full Application, Summary Statement

13. (R01) Addressing Ethical Challenges in Networked Biorepositories. Full Application, Summary Statement

14. (R01) Clinical Integration of Whole Genome Sequencing: A Policy Analysis. Full Application, Summary Statement

15. (R01) iability in the delivery of personalized medicine: driver, impediment, or both? Full Application, Summary Statement

16. (R01) Anticipating Personal Genomic Medicine: Impact and Implications. Full Application, Summary Statement

17. (R01) Interrogating human anti-staphylococcal antibody responses for S. aureus vaccine insights. Full Application, Summary Statement

18. (R01) Innate immunity against viral infection in intestinal epithelial cells of C. elegans. Full Application, Summary Statement

19. (R01) Assessing the roles of biofilm structure and mechanics in pathogenic, persistent infections. Full Application, Summary Statement

20. (R01) Hair Extensions: Using Hair Levels to Interpret Adherence, Effectiveness and Pharmacokinetics with Real-World Oral PrEP, the Vaginal Ring, and Injectables. Summary Statement

21. (R01) Preventing falls and frailty in prostate cancer survivors: GET FIT Prostate. link

22. (R01)Implementing universal lynch syndrome screening across multiple healthcare systems: identifying strategies to facilitate and maintain programs in different organizational contexts. link

23. (R01) Image analysis for high-throughput C. elegans infection and metabolism assays. link

24. (R01) Peptide Autoinducers of Staphylococcal Pathogenicity. Full Application, Summary Statement

25. (R01) Reducing Chemotherapy Toxicity in Older Adults. link

26. (R01) Sleep Disturbance, Inflammation, and Cellular Aging in Breast Cancer Survivors. link

27. (R01) Disseminating Evidence-Based Interventions to Control Cancer. Link

28. (R01) Increasing Implementation of Evidence-Based Interventions at Low-Wage Worksites. link

29. (R01) Establishing The Program Sustainability Action Planning Training Model. link

30. (R01) Implementing Tobacco Use Treatment Guidelines in Community Health Centers in Vietnam. link

31. (R01) Using Technology to Scale-Up an Occupational Sun Protection Policy Program. link

32. (R01) Preventing Falls and Frailty in Prostate Cancer Survivors: GET FIT Prostate. link

33. (R01) Sexual Health Empowerment for Cervical Health Literacy and Cancer Prevention. link

34. (R01) A Primary Care Multilevel mHealth Colorectal Cancer Screening (mCRC) Intervention. link

35. (R01) Constituent Yields and Biomarkers of Exposure for Tobacco Product Regulation. link

36. (R01) Establishing Smoke-Free Homes with Families Involved in Child Protective Services: An Effectiveness-Implementation Trial of an Integrated Program. link

37. (R01) Inflammatory cascades disrupt Treg function through epigenetic mechanisms. Full Application, Summary Statement

38.  (R01) Enhance AAV Liver Transduction with Capsid Immune Evasion. Full Application, Summary Statement

39. (R01) Intersection of polyomavirus infection and host cellular responses. Full Application, Summary Statement

40. (R01) Increasing Implementation of Evidence-Based Interventions at Low-Wage Worksites. link

41. (R01) Using Technology to Scale-Up an Occupational Sun Protection Policy Program. link

42. (R01) Implementing Cancer Prevention Using Patient - Provider Clinical Decision Support. link

43. (R01) Next Generation of HPV and Cervical Cancer Research in HIV+ Women. link

44. (R01) Personalized Screening for Lung Cancer: the Importance of Co-existing Chronic Conditions to Clinical Practice and Policy. link

45. (R01) Predicting and Addressing Colonoscopy Non-adherence in Community Settings. link

46. (R01) Using MOST to EMPOWER: Optimizing an Emotional Regulation Intervention to Enhance Well-being Among Young Adult Cancer Survivors. link

47. (R01) Improving Informal Caregivers' and Cancer Survivors' Psychological Distress, Symptom Management and Health Care Use. Link

48. (R03) Immune-Regulating MHC Class I-Like Proteins and Colorectal Cancer Risk. link

49. (R03) Intergenerational Monitoring in Clinical Trials of Germline Gene Editing: Ethical, Legal, and Social Issues. Full Application, Summary Statement

50. (R03) Ethical, Legal, and Social Implications in Military Genomics. Full Application, Summary Statement

51. (R03) Statewide Assessment of HPV Vaccination Among Childhood Cancer Survivors. link

52. (R03) Multi-center Evaluation of Digital Breast Tomosynthesis with Synthesized Two-dimensional Mammography for Breast Cancer Screening. Link

53. (R03) Ecological Concepts of Human Identity in Microbiome and Metagenomic Research. Full Application, Summary Statement

54. (R03) Modeling atomic structure of the EmrE multidrug pump to design inhibitor peptides. Full Application

55. (R03) Forward genetics-based discovery of Histoplasma virulence genes. Full Application, Summary Statement

56. ((R03) Participant Beliefs and Bias in a Randomized Controlled Trial. link

57. (R15) Development of a Novel Inhibitor of Ricin: A Potential Therapeutic Lead against Deadly Shiga and Related Toxins. Full Application, Summary Statement

58. (R15) Elucidating the evolution of Coxiella to uncover critical metabolic pathways. Full Application, Summary Statement

59. (R21) Mechanisms of enteric Burkholderia psuedomallei infection. Full Application, Summary Statement

60. (R21) Human immune system layering and the neonatal response to vaccines. Full Application, Summary Statement

61. (R21) Multisensory Processing Across Lifespan and Links to Cognition. link

62. (R21) Effective Training Models for Implementing Health-Promoting Practices Afterschool. Link

63. (R21) Vegetable Garden Feasibility Trial to Promote Function in Older Cancer Survivors. link

64. (R21) Using Ethics and User-Centered Design to Create Templates for EHR-Mediated Return of Genetic Test Results. Full Application, Summary Statement

65. (R21) Demographic Patterns of Eugenic Sterilization in California. Full Application, Summary Statement

66. (R21) Returning Research Results of Pediatric Genomic Research to Participants. Full Application, Summary Statement

67. (R21) Interactive Multimedia and Biorepository Informed Consent. Full Application, Summary Statement

68. (R21) Response to Testing Among Individual Consumers of DTC Personal Genomics Service. Full Application, Summary Statement

69. (R21) Ribosome profiling of Trypanosoma brucei. Full Application, Summary Statement

70. (R21) Lymphoid signals for stromal growth and organization in the thymus. Full Application, Summary Statement

71. (R21) Alteration of host protein stability by Legionella. Full Application, Summary Statement

72. (R21) Effective Training Models for Implementing Health-Promoting Practices Afterschool. link

73. (R21) Estimation and Association Analysis of Biomarkers for Tumor Immune Microenvironment. link

74. (R21) Improving Transition Readiness in Adolescent and Young Adult (AYA) Survivors of Childhood Cancer. link

75. (R33) The semen enhancer of HIV infection as a novel microbicide target. Full Application, Summary StatementPD

76. (R37) Obesity, Chemotherapy Dosing, and Breast Cancer Outcomes. link

77. (R37) Sustainability Determinants of an Intervention to Identify Clinical Deterioration and Improve Childhood Cancer Survival in Low-Resource Hospitals. link

78. (R37) Testing an Adaptive Implementation Strategy to Optimize Delivery of Obesity Prevention Practices in Early Care and Education Settings. link

79. (R37) De-implementation of low value castration for men with prostate cancer. link

80. (R41/R42, STTR) Amprion. Full Application, Summary Statement

81. (R41/R42, STTR) CorticoMetrics. Full Application, Summary Statement

82. (R41/R42, STTR) StarWise. Full Application, Summary Statement

83. (R41/R42, STTR) Development of Small Molecule Therapeutics Targeting Hemorrhagic Fever Viruses. Full Application, Summary Statement

84. (R41/R42, STTR) Lead Compound Discovery from Engineered Analogs of Occidiofungin. Full Application, Summary Statement

85. (R41/R42, STTR) Developing a small peptide to control autoimmune inflammation in type 1 diabetes. Full Application, Summary Statement

86. (R41/R42, STTR) Novel indication for myeloid progenitor use: Induction of tolerance. Full Application

87. (R41/R42, STTR) Antigen Detection assay for the Diagnosis of Melioidosis. Full Application

88. (R41/R42, STTR) Courier Therapeutics, Inc. Full Application

89. (R43/R44, SBIR) ANDAA for universal, pan-lineage molecular detection of Lassa fever infection. Full Application, Summary Statement

90. (R43/R44, SBIR) High-throughput, multiplexed characterization and modeling of antibody:antigen binding, with application to HSV. Full Application, Summary Statement

91. (R43/R44, SBIR Crossroads Consulting. Full Application, Summary Statement

92. (R43/R44, SBIR) CareBand. Full Application, Summary Statement

93. (R43/R44, SBIR) care.coach Corporation. Full Application, Summary Statement

94. (R43/R44, SBIR) Experimental Gonococcal Vaccine. Full Application, Summary Statement

95. (R43/R44, SBIR) Broadly protective (universal) virus-like particle (VLP) based influenza vaccine. Full Application

96. (R43/R44, SBIR) Point-of-Care HIV Antigen/Antibody Diagnostic Device. Full Application

97. (R43/R44, SBIR) Antibiotics for Recalcitrant Infection. Full Application

98. (R43/R44, SBIR) Rapid Test for Recent HIV Infection. Full Application

99. (R43/R44, SBIR) Rapid, automated, detection of viral and bacterial pathogens causing meningitis. Full Application

100. (R43/R44, SBIR): ISPIN, Inc. Full Application

101. (R43/R44, SBIR) Enspectra Health, Inc. Full Application

102. (R43/R44, SBIR) Stingray Therapeutics, Inc. Full Application

103. (R50) Natural History of Lung Cancer Diagnosed Within and Across Diverse Health Systems Implementing Lung Cancer Screening. link

104. (P01) Improving Uptake of Cervical Cancer Prevention Services in Appalachia. link

• NSF Funding Opportunities 

• NSF CAREER Active Awards Map: provides visualization of CAREER award distribution

• NSF awards by year 

•  NSF Programs

  • Faculty Early Career Development Program (CAREER) 

  • Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) 

  • Leading Engineering for America's Prosperity, Health, and Infrastructure (LEAP HI) 

  • Engineering of Biomedical Systems 

  • Computer and Information Science and Engineering: Core Programs 

  • Engineering Research in Artificial Intelligence 

  • Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation 

  • Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences (DMS/NIGMS) 

  • A Science of Science Approach to Analyzing and Innovating the Biomedical Research Enterprise (SoS:BIO) 

  • Planning Grants to Create Artificial Intelligence (AI)-Ready Test Beds 

  • Early-Career Academic Pathways in the Mathematical and Physical Sciences 

• Funding notice: link 

  • DoD Breast Cancer Research Program 

  • Peer Reviewed Medical Research Program (March/April Pre-app deadlines) 

  • Lung Cancer Research Program (May/July Pre-app deadlines) 

  • Peer Reviewed Cancer Research Program (May/July Pre-app deadlines) 

  • Prostate Cancer Research Program (June/August Pre-app deadlines) 

• Funding programs: link 

  • Rare Disease AI/ML for Precision Integrated Diagnostics  

  • Performance and Reliability Evaluation for Continuous Modifications and Useability of Artificial Intelligence 

  • Imaging Data Exchange 

  • Health Care Rewards to Achieve Improved Outcomes 

  • ARPA-H Digital Health Security Initiative 

  • ARPA-H Biomedical Data Fabric Toolbox 

  • Advanced Analysis for Precision Cancer Therapy 

  • Ocular Laboratory for Analysis of Biomarkers 

• Proposer's day presentation

  • RAPID Proposers' Day Presentation 

• AHA Research Grant Funding Opportunities 

  • AHA Collaborative Sciences Award 

  • AHA Novel Artificial Intelligence Approaches to Advance Cardiovascular and Cerebrovascular/Brain Health 

  • AHA GWTG Data Research Award 

  • AHA Career Development Award 

  • AHA Established Investigator Award 

  • AHA Implementation Science Award 

  • AHA Innovative Project Award 

  • AHA International Visiting Professorship Award 

  • AHA Institutional Award for Undergraduate Student Training 

  • AHA Merit Award 

  • AHA Transformational Project Award 

  • AHA Identifying Predictors of Cardiovascular Risk Reduction Among Individuals with Obesity and Cardiovascular Disease on GLP-1 Medications  

  • AHA National Level Program Data Research Opportunities 

  • reSEARCH@Heart Interactive Research Portal 

  • AHA Postdoctoral Fellowship 

  • Global Cardiovascular Research Funders Forum Data Challenge 

  • Periodic Table of Food Initiative Data Exploration Challenge 

• ACR Fellowships and Grants  

• AAPM Grants and Fellowships 

• RSNA Research Grants 

• ACC Awards Program 

  • ACC William A. Zoghbi International Research Award 

• SNMMI Grants, Awards, and Scholarships 

• ESC Grants and Fellowships 

Foundations

• Simons Foundation 

Industry 

• Google Research Scholar Program 

• NVIDIA Academic Grant Program  

• The Chan Zuckerberg Initiative Collaborative Science Awards 

• The Sony Faculty Innovation Award 

• AMD Faculty Grants for AI and Other Projects 

1. RI: Medium: Collaborative Research:Algorithmic High-Dimensional Statistics: Optimality, Computtional Barriers, and High-Dimensional Corrections. link 

2. RI: Small: Uncertainty Quantification for Nonconvex Low-Complexity Models. link 

3. Collaborative Research: CIF: Medium: Statistical and Algorithmic Foundations of Efficient Reinforcement Learning. link  

4. Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality. link 

5. CIF: Small: Taming Nonconvexity in High-Dimensional Statistical Estimation. link 

6. Collaborative Research: Fine-Grained Statistical Inference in High Dimension: Actionable Information, Bias Reduction, and Optimality. link 

7. Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms. link  

8. Collaborative Research: Wavelet Frames for Variational Models in Imaging: Bridging Discrete and Continuum. link 

9. RAPID: High-Throughput and Low-Cost Testing of COVID-19 Viruses and Antibodies through Compressed Sensing and Group Testing. link 

10. CCSS: Collaborative Research: Sketching for High Dimensional Data Analysis in IoT. link 

11. Taming Nonlinear Inverse Problems: Theory and Algorithms. link 

12. CIF: Medium: Collaborative Research: Theory of Optimization Geometry and Algorithms for Neural Networks. link 

13. CIF: Medium: Collaborative Research: Nonconvex Optimization for High-Dimensional Signal Estimation: Theory and Fast Algorithms. link 

14. CIF: Small: Inverse Methods for Parametric Mixture Models. link 

15. CAREER: Robust Methods for High-Dimensional Signal Processing under Geometric Constraints. link 

16. EAGER-DynamicData: Subspace Learning From Binary Sensing. link 

17. CIF: Small: Adaptive signal representation for accelerated multidimensional imaging. link 

18. QuBBD: Collaborative Proposal: Interactive Ensemble Clustering for Mixed Data with Application to Mood Disorders. link   

19. CRII: III: Scaling up Distance Metric Learning for Large-scale Ultrahigh-dimensional Data. link 

20. BIGDATA: F: New Algorithms of Online Machine Learning for Big Data. link 

21. SCH: INT: Collaborative Research: A Framework for Optimizing Hearing Aids In Situ Based on Patient Feedback, Auditory Context, and Audiologist Input. link 

22. CAREER: Advancing Constrained and Non-Convex Learning. link 

23. Collaborative Research: RI: Small: Robust Deep Learning with Big Imbalanced Data. link 

24. FAI: Advancing Optimization for Threshold-Agnostic Fair AI Systems. link 

25. CAREER: Advancing Constrained and Non-Convex Learning. link 

26. Collaborative Research:SCH:Bimodal Interpretable Multi-Instance Medical-Image Classification. link  

27. Geometric and Combinatorial Algorithms for Optimal Surface Segmentation in Medical Images. link 

28. CAREER: Novel Geometric Techniques for Optimal Surface Detection in Medical Images. link 

29. AitF: Collaborative Research: Automated Medical Image Segmentation via Object Decomposition. link 

30. AF: Small: Some New and Old Frontiers in Geometric Optimization. link 

31. NSF Convergence Accelerator - Track D: ImagiQ: Asynchronous and Decentralized Federated Learning for Medical Imaging. link 

32. Collaborative Research: Nonconvex Models for Structured Sensing: Theory, Algorithms, and Applications. link 

33. Collaborative Research: High Dimensional Multivariate Analysis. link 

34. Fractional Imputation for Incomplete Data Analysis. link 

35. CIF: Small: Model-based sparse X-ray CT signal processing using polychromatic measurements. link 

36. Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification. link 

37. Collaborative Research: SCH: Geometry and Topology for Interpretable and Reliable Deep Learning in Medical Imaging. Link

38. SCH: Improving Patient Health and Equity through the Digital Transformation of Diabetes Care Delivery. Link

39. Collaborative Research: SCH: Quantifying Cardiac Performance by Measuring Myofiber Strain with Routine MRI. Link

40. I-Corps: Wearable Cardiovascular Abnormality Detector. Link

41. Advancing Theory and Methodology for Tree-Based Algorithms in High Dimensions. Link

42. EAGER: Ultra Low Light Level Imaging for Ophthalmological Applications. Link

43. Collaborative Research: SCH: A Causal AI Digital Twin Framework to Transform Intensive Care Delivery. Link

44. Stability issues in some biomedical, financial, and geophysical inverse problems. Link

45. PFI-RP: Noninvasive Technology to Determine an Individual's Risk of Having a Heart Attack. Link

46. CAREER: Super-resolution Ultrasound Imaging for High-resolution Functional Mapping of the Brain. Link

47. Collaborative Research: CISE MSI: RCBP: RI: Explainable Multi-modality Time Series Question Answering System. Link

48. Collaborative Research: FDT-BioTech: Advancing Mathematical and Statistical Foundations to Enhance Human Digital Twin of Neurophysiological Modeling and Uncertainty Quantification. Link

49. CISE MSI: RPP: IIS: Deep Clustering of Unlabeled Tabular Data for Transfer Learning in Heterogeneous Feature Space. Link

50. CIF: Small: Advanced Understanding and Applications of Deep Learning. Link

51. Collaborative Research: FDT-BioTech:physics-informed and machine learning-accelerated digital twin simulations for cardiovascular medical device evaluation. Link

52. I-Corps: Translation potential of a guidance system for needles used in computed tomography (CT)-guided medical procedures. Link

53. CAREER: Wirelesss Sensing for In Vivo Medical Devices. Link

54. EAGER: Developing Concept-based Reasoning Approaches for Health. Link

55. Collaborative Research: CIF: Medium: Robustness to Distribution Shifts in Computational Imaging - Inference, Sampling, and Adaptation. Link

56. SHF: SMALL: FIRST: Enabling Real-Time, Scalable, and Verifiable Generative Visual AI Systems. Link

57. SCH: Generative Imaging Models for Verifying and Explaining Machine Learning Systems in Healthcare. Link

58. Collaborative Research: Efficient Individualized Treatment Selection for Personalized Medicine. Link

59. CAREER: Making Domain-Specific AI Models Steerable by Leveraging Foundational Models. Link

60. CRII: RI: Uncertainty-Aware Visual Representation-Learning via Multicalibration. Link

61. Collaborative Research: III Small: Towards Large Open-World Foundation Models: Construction, Adaptation, and Deployment. Link

62. CRII: SCH: Improving translation of deep learning in clinical ECG diagnostics. Link

63. CAREER: Enabling Reliable Uncertainty-Aware Decision Making with Unreliable Data. Link

64. CAREER: Self-Directed Human-LLM Coordination for Language Learning and Information Seeking. Link

65. Gradient Sampling Methods for Noisy Nonconvex Nonsmooth Optimization. Link

66. PALYIM: A DEEP-LEARNING PLATFORM FOR POLLEN IMAGE ANALYSIS. Link

67. Collaborative Research: A Machine Intelligence Assessing Motivation, Adapting Challenge, and Fostering Compliance with Cued Therapeutic Activity After Stroke. Link

68. CAREER: Integrating Heterogenous Health Data for Improved Predictive and Explainable Methods. Link

69. CAREER: Privacy Auditing Frameworks and Defenses for Machine Learning Models Trained on Tabular Data. Link

70. SBIR Phase II: Artificial Intelligence (AI)-Enabled Ultrasound for Imaging and Diagnosing Musculoskeletal Injuries. Link

71. Adaptive sampling for scientific machine learning: algorithms and applications. Link

72. CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision. Link

73. CAREER: Compositional Learning and Understanding of the Physical World. Link

74. New frontiers for Bayesian hierarchical models in inverse problems. Link

75. CAREER: The Science of Risk Assessment. Link

76. CAREER: Statistical Inference in the Presence of Group Actions: Theory, Method, and Application. Link

77. A Geometric Framework for Stochastic Algorithms in Feasibility and Inclusion Problems. Link

78. CAREER: High-Dimensional Learning and Inference from Heterogeneous Data Sources. Link

79. CRII: III: Towards Efficient Interpretation for Explainable Learning: A Computational Perspective on Attribution and Recourse. Link

80. CAREER: Integrating Conformal Prediction into Machine Learning for Provably Safe Deployment. Link

81. CAREER: Verifiable Decision Support via Language Models Grounded in Written Guidelines. Link

82. SBIR Phase II: Compact Multi X-ray Source Imaging Modules for Point-Of-Care Medical Screening. Link

83. SaTC: CORE: Small: Toward Adversarially Robust and Privacy-Preserving EHR Systems: Data Complexity and New Training Paradigms. Link

84. SBIR Phase I: Developing Next-Generation Payloads for Targeted Therapies. Link

85. SBIR Phase I: Two-stage Causal AI modeling for Causally-Aware, Edge-Deployable Healthcare AI. Link

86. EAGER: Imaging and sensing through the skin using diffractive networks. Link

87. SBIR Phase I: Predicting and Diagnosing Alzheimers Disease and Mild Cognitive Impairment by MRI Using Variational Autoencoder and Machine Learning Algorithm. Link

88. I-Corps: Translation Potential of a Platform for Medical Artificial Intelligence (AI) Model Development and Sharing. Link

89. SBIR Phase I: Image-Guided Controlled Release Platform for Intratumoral Immunoadjuvant Delivery. Link

90. CAREER: Intelligent Biomarker Analysis based on Wearable Distributed Computing. Link

91. CAREER: Towards Reliable Machine Learning in Feedback Systems. Link

92. I-Corps: Translation potential of an artificial intelligence (AI) approach for brain lesion segmentation. Link

93. CAREER: Robust Machine-Learning Methods for Imaging. Link

94. Gradient Sampling Methods for Noisy Nonconvex Nonsmooth Optimization. Link

95. Computational Models for Predicting Neonatal Brachial Plexus Injury During Complicated Birthing. Link

96. CAREER: III: Trust-EEG: A Trustworthy Machine Learning Framework for Augmenting Clinical Review of Electroencephalograms. Link

97. CAREER: Improving Real-world Performance of AI Biosignal Algorithms. Link

98. SCH:Artificial Intelligence for Contrast-Enhanced Imaging. Link

99. CRII: SCH: Domain-guided Machine Learning for Clinical Decision Support in Epilepsy. Link

100. A Bilevel Optimization Approach to Integrating Personalized Treatment with Healthcare Resource Planning. Link

101. CAREER: Smart and scalable approaches for developing multimodal optical and acoustic imaging technologies. Link

102. SBIR Phase I: Development of novel artificial intelligence (AI)-enabled, non-invasive, heart attack diagnostics. Link

103. Collaborative Research: A generalizable data framework towards Precision Radiotherapy. Link

104. SCH: Bringing Intelligence to Pulmonology: New AI-Enabled Systems for Pulmonary Function Tests Anytime and Anywhere. Link

105. SCH: INT: Collaborative Research: DeepSense: Interpretable Deep Learning for Zero-effort Phenotype Sensing and Its Application to Sleep Medicine. Link

1. (NSF IUSE) Creating an Academic Community to Foster Curiosity and Discovery in Introductory Geoscience Classes. Link

2. (NSF IUSE) Inquiry Based Learning Modules for Atmospheric Science Using Student-Accessible Modeling Tools. Link

3. (NSF IUSE) Transforming Museums and Colleges into an Effective Earth Science Partnership: Creating Student Explorations of Museum Exhibits for Undergraduate Education. Link

4. (NSF IUSE) The Math You Need, When You Need It: Modular Student Resources to Encourage Successful Incorporation of Quantitative Concepts in Introductory Geoscience. Link

5. (NSF IUSE) Get WET Observatory: Implementing a Fluid Learning Experience for Undergraduates. (Project summary only.) link

6. (NSF IUSE) Collaborative Research: Expansion of “The Math You Need, When You Need It” Through Widespread Implementation. Link

7. (NSF IUSE) Bringing Relevance to Earth Science Introductory Curricula through Images Showing Human/Landscape Interaction. Link

8. (NSF IUSE) Improving Reasoning and Technological Competency Across the Curriculum through Targeted Applications of GIS. Link

9. (NSF IUSE) The power of moving sediment: integrating experimental sedimentology into the undergraduate geoscience curriculum. Link

10. (NSF IUSE) Enhancing Student Understanding of Environmental Systems with Ion Chromatography. Link

11. (NSF OEDG) Enhancing Diversity Track 1: Intensive Field Experience in Northern Illinois and Central Mexico for Junior and Senior High School Teachers Serving Large Hispanic Populations. Link

12. (NSF REU) REU Site: Interdisciplinary Watershed Studies at the College of William and Mary (project description). Link

13. (NSF MRI) Acquisition of a Scanning Electron Microscope (SEM) with EDS, EBSD and CL detectors to advance research and undergraduate research training. Link

14. (NSF MRI) Acquisition of an Electron Backscatter Diffraction System. Link

15. (NSF IF) Acquisition of a Rapid Sediment Grain Size Analyzer. Link

16. (NSF CAREER) Algorithmic Aspects of Machine Learning. Link

17. (NSF CAREER) The Computational Complexity of Halfspace-Based Learning. Link

18. (NSF CAREER) Geometric phenomena in algorithms and complexity. Link

19. (NSF CAREER) Approximation algorithms – new directions and techniques. Link

20. (NSF CAREER) A unified theory of pseudorandomness. Link

21. (NSF CAREER) Approximation algorithms for geometric computing. Link

22. (NSF CAREER) High-dimensional geometry problem. Link

23. (NSF CAREER) Models and causal structure in econometric analysis. Link

24. (NSF CAREER) Triggering eruptions: Determination of Pressure-Temperature-Composition-time (P-T-X-t) Histories for Magma Bodies Preceding Eruption. Link

25. (NSF CAREER) Contrasting environmental controls on regional CO2 and CH4 biogeochemistry “ Research and education for placing global change in a regional, local context. Link

26. (NSF CAREER) Effects of particle size on physical and chemical properties of mine wastes. Link

27. (NSF CAREER) A Study of the Radiative Effects of Cloud Shadows on the Dynamics of Long-Lived Convective Storms. Link

28. (NSF CAREER) Earth System Science Perspective on the Sulfur Cycle. Link

29. (NSF CAREER) Sediment Dynamics on the Bengal Shelf and Fate of the Ganges-Brahmaputra Floodpulse. Link

30. (NSF CAREER) A Research and Education Program in Dynamical Paleoclimatology. Link

31. (NSF CAREER) Integrated Stratigraphic and Hydrogeologic Aquifer Analysis: Toward Improved Multi-scale Characterization of Alluvial Aquifer Systems. Link

32. (NSF GEO) Collaborative Research NSF/GEO-NERC: The Collapse of the Cordilleran Ice Sheet: Using Glacial Dipsticks to Constrain Ice Sheet Modeling. Link

33. (NSF) Developing a functional marker gene for Fe oxidation. Link

34. (NSF EAR) Collaborative Research: Deciphering connections among land management, soil erosion, and sediment yield in large river basins. Link

35. (NSF OCE) Collaborative Research: Vortex Dynamics and Interannual Variability in the Labrador Sea. Link

36. (NSF EAR) Collaborative Research: Strike-Slip History of the East Gobi Fault Zone, Mongolia: Modes of Intraplate Deformation, Sedimentary Basin Evolution, and Regional Fault Linkages. Link

37. (NSF ATM) Collaborative Research: Impact of Externally and Internally Modulated Convection on Tropical Cyclone Evolution. Link

38. (NSF EAR) Collaborative Research: Quantifying the Dependence of Fabric and Rheology on Finite Strain for Naturally Deformed Rocks. Link

39. (NSF OCE) Expansion & Collapse of the Cordilleran Ice Sheet during the Quaternary (project description). Link

40. (NSF EPSCoR) Sulfate 17O Anomalies in Cenozoic Volcaniclastic Deposits in the Northern High Plains, North America. Link   

• Stanford AIMI 

• Stanford Research Management Group 

• Early Career Geoscience Faculty: Teaching, Research, and Managing Your Career. Link

• SIGACT Committee for the Advancement of Theoretical Computer Science. Link

• Yi Ma’s website at UCB. Link

• University Research Administration at U Chicago. Link

• Research and Scholarship by College of Arts and Sciences at University of South Florida. Link

• Open grant. link