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The Center for Recovery, Physical Activity, and Nutrition (CeRPAN) supports interdisciplinary research at UTMB.

The Center is committed to creating relationships among basic and clinical scientists to translate and apply research findings for the benefit of persons with disability or chronic disease and their families. CeRPAN was originally established in 2001 as the Center for Rehabilitation Sciences to provide an infrastructure for research in disability, recovery, and rehabilitation at UTMB. The mission and focus of the Center were expanded in 2013 to integrate research involving physical activity, exercise, function, and nutrition to provide new opportunities for education and scientific training.

Studies in Recruitment

News & Announcements

Data Sciences & Discovery Pilot Grants: Application Due April 30, 2021

Mar 5, 2021, 15:56 PM by CeRPAN

Data Sciences & Discovery Pilot Grants Application Due: April 30, 2021

Award Period: July 1, 2021 – March 31, 2022

The Office of Biostatistics (OBIOS) encourages researchers to submit pilot project proposals aimed at: developing and/or utilizing state-of-the-art quantitative/data science methodologies and technologies to address aging-related research questions. These pilot grants are supported by the K07 on Academic Leadership Award in Data Science and Discovery funded by National Institute on Aging, and co-sponsored by Center for Recovery, Physical Activity, and Nutrition (CeRPAN), and Center for Large Data Research & Data Sharing in Rehabilitation (CLDR).

Up to two awards of $20,000 each will be funded for 9 months.

Who should apply?

UTMB employees or graduate students examining older adults’ health issues by developing or employing novel data science methodologies or technologies are encouraged to submit one application (as PI) for the current funding cycle. Pilot PI has ≥ 50% effort devoted to research.

What support is provided?

Up to 9 months of funding with no carry forward. Pre-award costs are NOT allowed. The award may pay for salary, software, hardware, databases, and analytical support. All awardees will be supported by the Data Science & Discovery mentoring team throughout the grant progress.

The mentoring team members are:

  • Suresh K. Bhavnani, Ph.D., Professor, Preventive Medicine and Population Health: Visual data analytics; Biomedical informatics
  • James S. Goodwin, M.D., Professor, Internal Medicine: Longitudinal studies of health outcomes in the elderly, cancer control in older adults, disparities in medical care, and provider level performance and quality metrics in post-acute care
  • Yong-Fang Kuo, Ph.D., Professor, Preventive Medicine and Population Health: Health care delivery systems; health outcomes studies; and analytical methods in comparative effectiveness research.
  • Heidi Spratt, Ph.D., Associate Professor, Preventive Medicine and Population Health: Data science analytics, such as machine learning.

What are the application requirements?

Apply by sending a single PDF containing the elements listed in the Application Checklist to by 5:00 p.m. on April 30, 2021. Late applications, incomplete applications, and applications not following the specified format will not be reviewed.

Download PDF Application

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