An immersive research program where students are paired with data science mentors to work on applied, interdisciplinary research projects. Mentorship covers domains such as computer science, social science, climate policy, and biomedical research. Participants hone technical skills in research methodologies and teamwork within a cohort community.
Designing studies, testing hypotheses, and drawing evidence-based conclusions.
Making sense of numbers and datasets to find patterns, test ideas, and support decisions.
Writing code to build software, automate tasks, or bring an idea to life on a screen.
Using math and probability to draw reliable conclusions from data.
Breaking down a challenge and working through it methodically to a solution.
Guiding a group toward a shared goal and keeping everyone moving together.
Students engage in applied, interdisciplinary data science research with mentors across multiple domains.
Programming skills are developed through rigorous research methodologies and computational work in data science.
Direct experience with data analysis practices in real-world research projects across varied domains.
Students work on applied data science research pairing computational methods with domain expertise.
Research opportunities include public policy and climate/energy policy domains with data-driven approaches.
Community Experiences
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