Equitable Data Science in Adolescent Development
This 10-week program is a paid, full-time position designed to give undergraduate students hands-on training and research experience in data science, statistical modeling and machine learning, and scientific communication. Students will receive mentorship and have opportunities for professional and academic development. Topics on diversity, equity, and inclusion (DEI), and their role in data science form the foundations of this program, emphasized early through DEI modules and discussions. Students will also gain an understanding of the intersectional gaps in data science, including how structural racism and other forms of oppression shape research processes and practices. Best methodological practices (delivered by CEEd researchers) will challenge participants to develop needed competencies to collaborate with stakeholders from underserved groups and communities in empowering and transformative ways.
Must be a U.S. citizen, U.S. national, or US permanent resident. Must be enrolled in a degree program (part-time or full-time) leading to a baccalaureate or associate degree. Interested in a data-oriented career, including (but not limited to) majors in mathematics, statistics, psychology, computer science, engineering, neuroscience, and biology. Able to commit to the entire full-time, eight-hour day, 10-week program. Women, underrepresented minorities, and persons with disabilities are strongly encouraged to apply. Students attending an institution where research programs are limited are strongly encouraged to apply.
Dr. Mark Fiecas ([email protected]).