The virtual indigenous data science academy: development of a summer program in data science for tribal college students

Data science skills are essential for advancing knowledge of health inequities in marginalized and medically underserved populations. As of 2021 there were no programs in data science in the Tribal Colleges and Universities in North Dakota and the neighboring states. The Virtual Indigenous Data Science Academy was established in 2021 by the University of North Dakota School of Medicine and Health Sciences in collaboration with three North Dakota Tribal Colleges to introduce Indigenous students to the core elements of data science. The Virtual Indigenous Data Science Academy teaching faculty designed, developed, delivered, and evaluated a culturally-informed online synchronous summer program consisting of ten learning modules. The Virtual Indigenous Data Science Academy was delivered synchronously over three consecutive summers (2022-2024) to a total of 48 Tribal college students with diverse backgrounds and academic interests. More than 70% of student participants met the skills-based learning objectives of the Academy. Results of the summer program student evaluations demonstrated higher than average ratings of satisfaction with the instruction. The VIDS Academy represents a promising model for the delivery of instruction in data science and Science, Technology, Engineering, and Mathematics-related fields that address the local workforce and healthcare needs of Tribal communities.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2026-02-12
DOI
https://doi.org/10.3389/fpubh.2026.1709106
Primary Topic
Indigenous Health, Education, and Rights
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The virtual indigenous data science academy: development of a summer program in data science for tribal college students

Collette Adamsen, Emily Biggane, Adrienne Salentiny, Mélanie Nadeau et al.
Frontiers in Public Health
Indigenous Health, Education, and Rights
article

The virtual indigenous data science academy: development of a summer program in data science for tribal college students

Collette Adamsen, Emily Biggane, Adrienne Salentiny, Mélanie Nadeau, Lyle Best, S. Cristina Oancea, Corey B. Smith, Lynn Mad Plume, Michael Herbert, Mandy Guinn, Brent Voels
article en

Abstract

Data science skills are essential for advancing knowledge of health inequities in marginalized and medically underserved populations. As of 2021 there were no programs in data science in the Tribal Colleges and Universities in North Dakota and the neighboring states. The Virtual Indigenous Data Science Academy was established in 2021 by the University of North Dakota School of Medicine and Health Sciences in collaboration with three North Dakota Tribal Colleges to introduce Indigenous students to the core elements of data science. The Virtual Indigenous Data Science Academy teaching faculty designed, developed, delivered, and evaluated a culturally-informed online synchronous summer program consisting of ten learning modules. The Virtual Indigenous Data Science Academy was delivered synchronously over three consecutive summers (2022-2024) to a total of 48 Tribal college students with diverse backgrounds and academic interests. More than 70% of student participants met the skills-based learning objectives of the Academy. Results of the summer program student evaluations demonstrated higher than average ratings of satisfaction with the instruction. The VIDS Academy represents a promising model for the delivery of instruction in data science and Science, Technology, Engineering, and Mathematics-related fields that address the local workforce and healthcare needs of Tribal communities.

Frontiers in Public HealthVol. 14
Johns Hopkins University (US), University of North Dakota (US), Turtle Mountain Community College (US), United Tribes Technical College (US), North Dakota Department of Health (US)
National Institutes of Health, National Institute of General Medical Sciences
Quality Education
Openalex Percentile: Top 67%
Indigenous Health, Education, and Rights
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.