MT INBRE: A Multidisciplinary Research Network

NIH RePORTER · NIH · P20 · $365,158 · view on reporter.nih.gov ↗

Abstract

Project Summary Montana is a large state comprised of predominantly rural and tribal communities, which presents numerous challenges to the development of integrated data science communities, shared research and training capacity, and cyberinfrastructure. Here we outline a series of synergistic activities to develop shared instructional and computational resources to support student training in data science, strengthen the state-wide data science community, and foster research and training collaborations between research-intensive universities, Tribal colleges, and other primarily undergraduate-serving institutions. These efforts will build on the comprehensive five-year plan developed by the Montana IDeA Network of Biomedical Research Excellence (INBRE) program to improve the health of rural, urban, and native Montanans through sustainable research and the development of a diverse biomedical and health sciences workforce through student training in Montana. Aim 1 will build new partnerships between the Montana INBRE data science team and educators at Salish Kootenai College through collaborative on-site instructional activities that promote hands-on student training in bioinformatics and genome sciences. We will also intensify our efforts to strengthen connections with the seven Tribal colleges in Montana through site-visits to learn specific self-identified research and training needs and identify emerging biomedical projects motivated by local expertise and interests. Aim 2 will reduce barriers to effective data science education by developing modular training tutorials and focused workshops to establish foundational skills in data science, genomics, informatics, and high-performance computing. Aim 3 will expand computational infrastructure for Tribal colleges and primarily undergraduate-serving institutions by implementing an intuitive, web-based interface (Open OnDemand) that eliminates the traditional barriers associated with high-performance computing for researchers, teachers, and students. Finally, Aim 4 will work to building diverse and connected data science communities and partnerships across Montana by hosting a state-wide summit on data science and a workshop on the ethical and effective use of generative artificial intelligence.

Key facts

NIH application ID
11064427
Project number
3P20GM103474-24S1
Recipient
MONTANA STATE UNIVERSITY - BOZEMAN
Principal Investigator
BRIAN P BOTHNER
Activity code
P20
Funding institute
NIH
Fiscal year
2024
Award amount
$365,158
Award type
3
Project period
2001-09-25 → 2029-04-30