The Lucy Family Institute is committed to training the next generation of data scientists to guide data-driven discoveries.
Affiliated students develop an interdisciplinary understanding of networked and data-driven systems, and have the ability to design rigorous algorithms and models applicable to a broad range of careers. At the Institute, students are also trained to engage stakeholders and to incorporate the societal impacts and considerations of their craft.
Workshops & Trainings
The Lucy Family Institute offers a wide variety of free trainings, workshops, and guest lectures to Notre Dame faculty, staff, graduate students, and undergraduate students. These events cover programming techniques and methods ranging from basic to advanced levels.
The newly launched Interdisciplinary Traineeship for Socially Responsible and Engaged Data Scientists (iTREDS) program trains undergraduate students in data science through a lens of social responsibility and community engagement, including rigor and responsibility, ethics, society, and policy. The goal of the 15-credit program is to develop scholars with an in-depth data science background as well as communication, critical thinking, teamwork, and other skills necessary for professional development.
Summer Trainee Program for Data Science & Society (STP)
STP is a three-week experience for high school students (STP Scholars) to learn about data science and to apply skills through project-based learning. ND and St. Mary's College undergraduate students will teach workshops in data science and visualization, data ethics, and introductory materials about Artificial Intelligence and machine learning. High school students will also get the opportunity to design and execute their own data science research projects, which will be rooted in their curiosities to address real-world problems within their community.
Early Bridges to Data Science Program
Early Bridges to Data Science is three-day summer series where local middle school teachers participate in interactive workshops and pedagogy training at ND so that they can learn methods for teaching data science to their students.