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Expanding Genomic Data Science Access via Cloud Computing and Dynamic Learning Modules

Award Number: UE5HG013818
ORGANIZATION: NATIONAL HUMAN GENOME RESEARCH INSTITUTE
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/05/2024
PERIOD OF PERFORMANCE END DATE: 08/31/2027

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Expanding Genomic Data Science Access via Cloud Computing and Dynamic Learning Modules - Project Summary The advent of high-throughput genomics and associated data science technologies has enabled genome-based decisions to improve human personal and public health. The advance of genomic medicine relies on developing a diverse workforce in computational genomics and data science (CGDS). Critical gaps, however, hamper the expansion of the genomics workforce: (1) a lack of diversity continues despite decades of effort. Large sectors of the US population remain underrepresented in CGDS; (2) a lack of access to resources and training opportunities limits student populations at the undergraduate and master’s levels to obtain the knowledge and skills needed for a career in CGDS. The University of Texas at San Antonio (UTSA) is uniquely positioned to address these gaps. Being a primarily minority-serving institution, with 67% of enrollment from under-represented minority (URM) groups, UTSA is committed to promoting an inclusive community of learners and narrowing the nationwide gender and racial gaps in the STEM field. In addition, UTSA has identified biomedical science and data science as fundamental building blocks for developing its research base. CGDS, a discipline at the interface of biomedical and data science, is a priority area receiving significant institutional support. This proposed UE5 program aims to develop, implement, and evaluate classroom educational content and cloud-based hands-on analytical exercises in CGDS to serve students from diverse backgrounds, including those underrepresented in the genomics workforce. Aim 1. To develop cloud-based instruction materials utilizing existing NIH cloud resources for teaching CGDS at undergraduate and master’s levels. These materials include lecture slides, video presentations, demonstrations, hands-on practice problems, assignments, and project ideas, organized into flexible modules suiting the needs of diverse student backgrounds and learning paths. Aim 2. To iteratively refine the developed content and modules by teaching them in a hybrid mode across different departments and collecting feedback from students and faculty. Aim 3. To evaluate the effectiveness of these materials by conducting formal evaluation and analysis and sharing with the broader CGDS community at large.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $474,136 )
2024	2024	THE UNIVERSITY OF TEXAS AT SAN ANTONIO	1 UTSA CIR	SAN ANTONIO	TX	78249	BEXAR	USA	Human Genome Research	000	1	9/5/2024	NEW	$474,136
														Subtotal = $474,136

Grand Total All Awards = $474,136

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Expanding Genomic Data Science Access via Cloud Computing and Dynamic Learning Modules

Award Number: UE5HG013818

ORGANIZATION: NATIONAL HUMAN GENOME RESEARCH INSTITUTE

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/05/2024

PERIOD OF PERFORMANCE END DATE: 08/31/2027

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