TY - GEN
T1 - Data Science to Enhance Research Capacity of a Research-Intensive Medical College
AU - Wang, Qingguo
AU - Cao, Aize
AU - Gupta, Vibhuti
AU - Singhal, Ashutosh
AU - Gary, Todd
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper describes our efforts to enhance the research capacity of the Research Centers in Minority Institutions (RCMI) program at Meharry Medical College and foster collaborations between RCMI and a newly established School of Applied Computational Sciences (SACS). These efforts include offering subawards to collaborative research groups, financial support to graduate students for their participation in collaborative research, performing need assessment to understand the needs of the community so as to guide our project implementation, and providing data science training to enhance the data analytics skills of the RCMI investigators, staff, medical residents, and graduate students. This paper presents the progress of this project, which clearly indicates its positive impact on the local community.
AB - This paper describes our efforts to enhance the research capacity of the Research Centers in Minority Institutions (RCMI) program at Meharry Medical College and foster collaborations between RCMI and a newly established School of Applied Computational Sciences (SACS). These efforts include offering subawards to collaborative research groups, financial support to graduate students for their participation in collaborative research, performing need assessment to understand the needs of the community so as to guide our project implementation, and providing data science training to enhance the data analytics skills of the RCMI investigators, staff, medical residents, and graduate students. This paper presents the progress of this project, which clearly indicates its positive impact on the local community.
KW - data science
KW - need assessment
KW - RCMI
KW - STEM
UR - https://www.scopus.com/pages/publications/85171971139
UR - https://www.scopus.com/pages/publications/85171971139#tab=citedBy
U2 - 10.1109/CSCI58124.2022.00388
DO - 10.1109/CSCI58124.2022.00388
M3 - Conference contribution
AN - SCOPUS:85171971139
T3 - Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022
SP - 2143
EP - 2144
BT - Proceedings - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Computational Science and Computational Intelligence, CSCI 2022
Y2 - 14 December 2022 through 16 December 2022
ER -