The workshop provides a unique bridge from introductory computer science to hands-on data science research, utilizing real-world public health case studies and offering a stipend upon successful completion.
The University of Chicago Data Science Institute's Data4All High School Bridge Workshop is an 8-week program designed to introduce high school sophomores, juniors, and seniors to data science research and inspire careers in data science and AI. Students learn Python programming, conduct inquiry-driven data science research in small groups, and develop critical collaboration, problem-solving, and communication skills. The curriculum emphasizes a data science reasoning framework, encouraging students to investigate and solve data-focused problems with real-world implications, often using public health case studies and authentic datasets. The program aims to provide a continuous computer science pathway for students, bridging the gap between introductory computer science and more experimental, inquiry-driven research. Students who successfully complete the program receive a stipend.
A typical day involves learning Python programming, engaging in spark activities to introduce key concepts, working in small groups on inquiry-driven research using real-world datasets, and participating in discussions and presentations of findings.
This program is best for Chicago high school students, particularly those from underrepresented backgrounds in STEM, who have completed Algebra 1 and are interested in exploring data science and AI careers.
University of Chicago campus in Hyde Park, Chicago
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