Rossetti, M., & Pohl, E., & Hill, B., & Wu, X., & Turner, R., & Lo, W., & Offord, J. (2022, August), An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40908

\bibitem{asee_peer_40908}
  Rossetti, M., \& Pohl, E., \& Hill, B., \& Wu, X., \& Turner, R., \& Lo, W., \& Offord, J. (2022, August), \emph{An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--40908

Manuel Rossetti, Edward Pohl, Bryan Hill, Xintao Wu, Ronna Turner, Wenjuo Lo, and Jeffrey Offord.  "An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/40908 Internet.  21 Apr, 2025

\bibitem{asee_peer_40908}
  Manuel Rossetti, Edward Pohl, Bryan Hill, Xintao Wu, Ronna Turner, Wenjuo Lo, and Jeffrey Offord.
  "An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/40908 Internet.  21 Apr, 2025

@INPROCEEDINGS{asee_peer_40908
author = "Manuel Rossetti, Edward Pohl, Bryan Hill, Xintao Wu, Ronna Turner, Wenjuo Lo, and Jeffrey Offord"
title = "An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/40908}
number = {10.18260/1-2--40908}
}

TY  - CPAPER
AB  - This paper provides an overview of the MDaS S-STEM scholarship program.  With the growing need for professionals with technology and critical thinking skills related to data analysis, the MDaS program employs established recruitment and retention activities for undergraduates in STEM fields, to encourage consideration of careers in data science related fields.  The purpose of the program is to provide financial and professional support to low-income and underrepresented STEM students to improve their chances of completing degrees related to data science.  This paper presents the motivation for the program, its goals, structure, research questions, and the design and implementation of its bootcamp cohort building component for engaging students.  The results and experiences related to its first year of operation are presented.
AU  - Manuel Rossetti
AU  - Edward Pohl
AU  - Bryan Hill
AU  - Xintao Wu
AU  - Ronna Turner
AU  - Wenjuo Lo
AU  - Jeffrey Offord
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - An Overview of the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program
UR  - https://peer.asee.org/40908
DO  - 10.18260/1-2--40908
ER  -