This program is designed to increase the use of data science to foster breakthroughs in disciplinary pursuits making the research team more competitive for external funding. Applications are required to include at least one data scientist from the Frost Institute for Data Science and Computing (IDSC) and one researcher from a specific discipline. Typically, the disciplinary researcher initiates and leads the project. The IDSC data scientist acts as a high-level consultant to ensure the proposal has enough data science.

Funding

The awards include $20K discretionary funds^[1] and 1M Service Units (SUs) to be used for high performance computing (HPC).

Theme

For the 2026-2027 academic year, IDSC seeks proposals that address the following:

• Theme TBA

Other topics and issues are also welcome. Pre-submission inquiries are encouraged.

In terms of this grant opportunity, data science is defined as utilizing state-of-the-art approaches such as Machine Learning (ML) or Artificial Intelligence (AI) to enable scientific discovery that is data driven. Simply, proposing to analyze large data sets with traditional techniques (e.g., linear regression) is not responsive to this opportunity. Proposals that use AI/ML to develop new understanding are strongly encouraged.

How to Apply

The application process includes two steps:

Step 1:  The disciplinary researcher provides a one-page letter of intent to IDSC outlining the discipline specific research and where data science fits in. Based on the letter of intent, the IDSC review team will identify an IDSC data scientist for collaboration, if the research team has not already identified an IDSC partner. Application portal to open in early August.

Step 2: Upon invitation to advance to Step 2, the research team with assistance from the IDSC data scientist will prepare a two-page proposal that outlines the research and the data science plan. The proposal should also include a short discussion of potential external funding mechanisms that the proposed work can be used to enhance the competitive position of the research team. The application should include an abbreviated one-page biosketch and a budget with justification using the templates included in this announcement. All documents should be combined into a single .pdf.

Eligibility

This funding opportunity is open to UM Faculty with an active IDSC membership.  For more information on IDSC memberships and to apply, visit https://idsc.miami.edu/membership/.

Reporting

The research team is required to submit an interim report midway through the performance period.  The one-page report should include a brief description of the project’s progress and an overview of the financial situation. Upon project completion, the research team will submit a one-page final report detailing any accomplishments attributed to the work of this project (publications, proposal submission(s) for extramural funding, data sets generated, etc.) and give an oral presentation describing the research and results as part of IDSC’s seminar series. Scheduling of the oral presentation will be coordinated by IDSC’s Engagement Office.

Review Process

Applications will be reviewed by the evaluation committee to determine feasibility, relevance to IDSC programs, and in terms of how the proposed research will put the team in a more competitive position for external funding.

Important Information and Deadlines

• Zoom INFO session led by Ben Kirtman back on Date/Time TBA (30 minutes).
• Friday, September 25, 2026 | Step 1 Letters of Intent due by 5:00 PM
• Friday, October 16, 2026 | Invitation to submit full proposal in Step 2 with identification of an IDSC data scientist partner (if applicable)
• Friday, November 20, 2026 | Step 2 two-page proposal due by 5:00 PM
• Friday, December 18, 2026 | Notice of Award on or before
• Project performance period: January 1, 2027 – December 31, 2027
• Wednesday, June 30, 2027 | Interim Report due
• Monday, January 31, 2028 | Service Units (SU) expire
• Sunday, February 29, 2028 | Final Report due
• Oral Presentation of Results due Fall 2028/Spring 2029

Review Committee

 

 

 

 

 

 

 

 

---

[1] Discretionary funds can be used for salary, travel, and other research-related expenditures as outlined in the proposal budget.  Equipment purchases are not allowed.

 

Fall 2025 Awardees  | All Awardees

	Kilan C. Ashad-Bishop, PhD Associate Professor UNIVERSITY OF MIAMI Rosenstiel School of Marine, Atmospheric, and Earth Science Department of Environmental Science and Policy “Leveraging Earth Systems Data to Advance Health System Resilience”
	Christina Cordero, PhD Research Associate Professor Co P.I. Hispanic Community Health Study/Study of Latinos UNIVERSITY OF MIAMI College of Arts and Sciences Department of Psychology “Identifying Modifiable Risk Profiles to Improve Healthcare Access and Inform Cardiometabolic Interventions in Hispanic/Latino Adults Using Machine Learning”
	Brooke M. Crawford, MD MBA Associate Professor and Chief, Division of Orthopaedic Oncology Associate Program Director, Orthopaedic Surgery Residency UNIVERSITY OF MIAMI Leonard M. Miller School of Medicine Department of Orthopaedics “Using deep-learning model to improve the accuracy of pathologic fracture prediction in breast and prostate cancer patients with metastases to bone”
	Firdaus S. Dhabhar, PhD Tenured Professor Director, Scholarly Concentrations—Advances in Mind-Body Medicine UNIVERSITY OF MIAMI Leonard M. Miller School of Medicine Department of Psychiatry and Behavioral Sciences “Digital Well-Being Coaching for Medical Students”
	Adam Meyers, PhD Assistant Professor UNIVERSITY OF MIAMI College of Engineering Department of Industrial and Systems Engineering “Deep Learning-Based Statistical Process Control for Improving the Efficiency of Surgical Operating Room Centers”
	Tatjana Rundek, MD PhD Professor of Neurology Evelyn F. McKnight Chair for Learning and Memory in Aging Scientific Director, Evelyn F. McKnight Brain Institute Executive Vice Chair, Research and Faculty Affairs, Dept. of Neurology Director, Clinical Translational Research Division (CTRD) Director, Master of Science in Clinical Translational Investigations UNIVERSITY OF MIAMI Leonard M. Miller School of Medicine Department of Neurology | Clinical Translational Research Division (CTRD) “Clinically Interpretable AI Model for Precision Risk Stratification in Alzheimer’s Disease Progression”
	Shirin Shafazand, MD MS FABSM ATSF Professor of Clinical Medicine UNIVERSITY OF MIAMI Leonard M. Miller School of Medicine Department of Medicine | Division of Pulmonary, Critical Care, and Sleep Medicine “Screening Women For Obstructive Sleep Apnea Using the Electronic Health Record: A Machine Learning Approach”