Zhao, X., & Drabo, M. L. (2024, June), Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security  Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--47650

\bibitem{asee_peer_47650}
  Zhao, X., \& Drabo, M. L. (2024, June), \emph{Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security}
  Paper presented at 2024 ASEE Annual Conference \& Exposition, Portland, Oregon.
  10.18260/1-2--47650

Xiang Zhao and Mebougna L. Drabo.  "Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security".  2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, June.  ASEE Conferences, 2024.  https://peer.asee.org/47650 Internet.  15 Dec, 2024

\bibitem{asee_peer_47650}
  Xiang Zhao and Mebougna L. Drabo.
  "Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security".
  \emph{2024 ASEE Annual Conference \& Exposition, Portland, Oregon, 2024, June}.
  ASEE Conferences, 2024.
  https://peer.asee.org/47650 Internet.  15 Dec, 2024

@INPROCEEDINGS{asee_peer_47650
author = "Xiang Zhao and Mebougna L. Drabo"
title = "Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security"
booktitle = "2024 ASEE Annual Conference \& Exposition"
year = "2024"
month = "June"
address = "Portland, Oregon"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/47650}
number = {10.18260/1-2--47650}
}

TY  - CPAPER
AB  - A workforce equipped with essential data analytics skills is crucial to maintaining the United States' economic growth and security, especially for nuclear energy industries and non-proliferation. Data analytics skills are in high demand in order to generate data-driven, robust solutions to solve global challenges and support decision-making for stakeholders in nuclear energy and security areas. This paper presents the technical approach that facilitates the integration of fundamental data analytics skills into pipeline building toward a diversified workforce through a suite of well-designed, comprehensive summer enrichment programs for high school, undergraduate and graduate students. The summer programs incorporated lectures, hands-on labs, group projects and/or national lab intern experience. In the last three-year’s implementation, the student assessment and project completion result all showed the effectiveness of the approach in enhancing students’ ability to understand the science foundation, identify real-world problems, analyze data and develop data-driven solutions in nuclear energy and security areas. The feedback from student surveys is also satisfactory and positive. This research is sponsored by Department of Engergy/NNSA and intends to share the project team’s experience and lessons learned with the STEM education community.
AU  - Xiang Zhao
AU  - Mebougna L. Drabo
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - Integrating Data Science into the Pipeline Building Toward a Diversified Workforce in Nuclear Energy and Security
UR  - https://peer.asee.org/47650
DO  - 10.18260/1-2--47650
ER  -