Virtual BUILD Research Collaboratory: A biomedical data science training using innovative pedagogy to address structures of racism and inequitable stress for undergraduates of color Article Swipe
Niquo Ceberio
,
Peter Lê
,
Jasmón Bailey
,
Sonthonax Vernard
,
Nichole Coleman
,
Y. Carrasco
,
Telisa King
,
Kirsten Bibbins‐Domingo
,
Tung T. Nguyen
,
Audrey Parangan-Smith
,
Kelechi Uwaezuoke
,
Robert Rivers
,
Kenjus Watson
,
Leticia Márquez-Magaña
,
Kala M. Mehta
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0294307
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0294307
Objective The unprecedented events of 2020 required a pivot in scientific training to better prepare the biomedical research workforce to address global pandemics, structural racism, and social inequities that devastate human health individually and erode it collectively. Furthermore, this pivot had to be accomplished in the virtual environment given the nation-wide lockdown. Methods These needs and context led to leveraging of the San Francisco Building Infrastructure Leading to Diversity (SF BUILD) theories of change to innovate a Virtual BUILD Research Collaboratory (VBRC). The purpose of VBRC was to train Black, Indigenous, and people of color (BIPOC) students to apply their unique perspectives to biomedical research. These training activities were evaluated using a pre-post survey design that included both validated and new psychosocial scales. A new scale was piloted to measure culturally relevant pedagogy. Results VBRC scholars increased science identity on two items: thinking of myself as a scientist (+1point, p = 0.006) and belonging to a community of scientists (+1point, p = 0.069). Overall, scholars perceived stress also decreased over VBRC (-2.35 points, p = 0.02). Post VBRC, scholars had high agency scores (μ = 11.02, M d = 12, range = 6–12, σ = 1.62) and cultural humility scores (μ = 22.11, M d = 23, range = 12–24, σ = 2.71). No notable race/ethnic differences were found in any measures. Conclusions Taken together, our innovative approach to data science training for BIPOC in unprecedented times shows promise for better preparing the workforce critically needed to address the fundamental gaps in knowledge at the intersection of public health, structural racism, and biomedical sciences.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0294307
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294307&type=printable
- OA Status
- gold
- Cited By
- 2
- References
- 43
- Related Works
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- OpenAlex ID
- https://openalex.org/W4392189338
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- OpenAlex ID
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https://openalex.org/W4392189338Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0294307Digital Object Identifier
- Title
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Virtual BUILD Research Collaboratory: A biomedical data science training using innovative pedagogy to address structures of racism and inequitable stress for undergraduates of colorWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-27Full publication date if available
- Authors
-
Niquo Ceberio, Peter Lê, Jasmón Bailey, Sonthonax Vernard, Nichole Coleman, Y. Carrasco, Telisa King, Kirsten Bibbins‐Domingo, Tung T. Nguyen, Audrey Parangan-Smith, Kelechi Uwaezuoke, Robert Rivers, Kenjus Watson, Leticia Márquez-Magaña, Kala M. MehtaList of authors in order
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https://doi.org/10.1371/journal.pone.0294307Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294307&type=printableDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0294307&type=printableDirect OA link when available
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Collaboratory, Workforce, Context (archaeology), Racism, Curriculum, Diversity (politics), Ethnic group, Sociology, Pedagogy, Computer science, Political science, World Wide Web, Biology, Anthropology, Law, Gender studies, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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43Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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