IDWSDS 2025 - S210: Data Science for All: Creating a Thriving Community for Interdisciplinary .... скачать в хорошем качестве

IDWSDS 2025 - S210: Data Science for All: Creating a Thriving Community for Interdisciplinary ....

Data Science for All: Creating a Thriving Community for Interdisciplinary Students via Industry Experiential Learning Projects The demand for data literacy now spans every discipline yet students arrive with vastly different levels of computing experience and confidence. How can universities help students, from any major, thrive in a data-driven business environment? Entering it's eighth year, The Data Mine at Purdue University engages more than 2,000 graduate and undergraduate students from over 130 majors in academic year-long, interdisciplinary teams that learn data science under the mentorship of industry partners. Students collaborate on 80+ projects annually with corporate partners across industries such as aerospace, agriculture, manufacturing, and pharmaceutical science. The students meet with the corporate partners every week as part of their class. This session will show how The Data Mine model, rooted in hands-on learning, teamwork, and mentoring, creates an inclusive pathway into data science. By embedding industry experience into the academic year, students develop technical fluency, problem-solving skills, business accumen, and confidence, regardless of prior programming background. The Data Mine is a repeatable, scaleable, and financially self-supported model and this session will demonstrate how universities can create environments where students of all majors thrive as future data leaders while generating genuine value for industry partners. ORGANIZER and CHAIR: Margaret Betz, Purdue University SPEAKERS: Margaret “Maggie” Betz Jessica Gerlach