2023
DOI: 10.3390/ijerph20064775
|View full text |Cite
|
Sign up to set email alerts
|

A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a Historically Black Medical College

Abstract: As data grows exponentially across diverse fields, the ability to effectively leverage big data has become increasingly crucial. In the field of data science, however, minority groups, including African Americans, are significantly underrepresented. With the strategic role of minority-serving institutions to enhance diversity in the data science workforce and apply data science to health disparities, the National Institute for Minority Health Disparities (NIMHD) provided funding in September 2021 to six Resear… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 17 publications
0
2
0
Order By: Relevance
“…By leveraging ChatGPT to assist dental students in learning, this project can potentially enhance students' academic performance, which, in turn, will empower MMC to better serve patients in underserved communities. Furthermore, this project was supported in part by a NIMHD supplement grant under award number U54MD007586 [10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…By leveraging ChatGPT to assist dental students in learning, this project can potentially enhance students' academic performance, which, in turn, will empower MMC to better serve patients in underserved communities. Furthermore, this project was supported in part by a NIMHD supplement grant under award number U54MD007586 [10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…By leveraging ChatGPT to assist dental students in learning, this project can potentially enhance students' academic performance, which, in turn, will empower MMC to better serve patients in underserved communities. Furthermore, this project was supported in part by a NIMHD supplement grant under award number U54MD007586 [14][15][16].…”
Section: Introductionmentioning
confidence: 99%