Collection

2021 ASEE Midwest Section Conference

Authors

Manuel D. Rossetti; Bryan Hill; Ronna Turner; Wen-Juo Lo; Ed Pohl; Xintao Wu

2021 ASEE Midwest Section Conference Introducing the Multi-Disciplinary Data Science (MDaS) S-STEM Scholarship Program Manuel D. Rossetti, Bryan Hill, Ronna Turner, Wen-Juo Lo, Ed Pohl, Xintao Wu University of ArkansasAbstractThe Multi-Disciplinary Data Science (MDaS) program assists with filling the growing demandfor multi-disciplinary STEM base data science skills by supporting underrepresented minoritystudents with scholarships and professional development activities. The goals of the MDaSprogram are 1) to establish recruitment and retention programs for the new data science majorsand

Collection

2021 ASEE Midwest Section Conference

Authors

Karl D. Schubert; Leslie B. Massey; Carol S. Gattis

ScienceFoundation has funded the authors (Schubert (PI), Gattis (co-PI), et. al.) with a Science,Technology, Engineering and Mathematics (S-STEM) grant to provide scholarships combinedwith research on best practices for recruitment, retention, and development of innovation skills fora diverse group of low-income undergraduate students. Students in the program come from STEMdisciplines in engineering and the physical sciences, however, business students are also integratedinto innovation courses although they are not funded by the S-STEM grant. Design, development,and implementation of the grant-funded program’s first innovation related course, a 2-week fallintercession course, will be presented. This first-year course is designed to provide the