2024 High School Summer Camp

Introduction to Data Science and AI Camp

June 10–14, 2024
(M–F, 9AM–4PM)
Detroit, MI

June 17–21, 2024
(M–F, 9AM–4PM)
University of Michigan,
Ann Arbor Campus

About the Camp

What is data? What can it tell us about ourselves and our society? What is AI? How will it change our lives beyond self-driving cars and robots?

ChatGPT. Dall-E. Deep-fakes. Artificial intelligence (AI) and data science are more prevalent in society than ever before—but what, exactly, is going on? Students will have the opportunity to answer these questions and learn more about the basics of data science and AI at our annual Introduction to Data Science and AI High School Summer Camp. Campers will work with University of Michigan faculty, graduate students, and their peers to get a taste of data analysis, visualization, and AI through hands-on projects and instruction. Additional programming includes career explorations, presentations from the office of undergraduate admissions, and more.

Session #1: June 10–14, 2024

(M–F; 9AM–4PM)

Location: Detroit, MI

Session #2: June 17–21, 2024

(M–F; 9AM–4PM)

Location: University of Michigan, Ann Arbor Campus

Eligibility: High school rising juniors and seniors in the Washtenaw, Wayne and surrounding county area. No prior coding experience is required, but students should have have successfully completed at least geometry and algebra I & II or similar coursework.

Camp cost: $15, payable by credit card. Instructions for payment will be sent out with acceptance emails. A light breakfast and lunch will be provided each day of the camp.

MIDAS seeks to foster an accessible and inclusive data science and AI community, at U-M and beyond; we encourage students from demographic groups under-represented in STEM fields to apply, especially those who would not otherwise have the opportunity or means to attend such programs.

Questions? Reach out to midas-contact@umich.edu

Watch: About the Introduction to Data Science and AI Summer Camp

Seeking Student Teaching Assistants!

Are you a current U-M student with a strong background in data science, coding, or related areas? Do you have experience as a camp counselor or orientation leader? We want to hear from you! We are hiring teaching assistants for this year’s summer camp to assist faculty with instruction, lead coding labs, work with students during hands-on exercises, and other event support as needed. Compensation is $25/hr. Please send a brief statement of interest and resume to: midas-contact@umich.edu

Camp Instructors


Andrew Owens, Assistant Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan

Research interests: Fake image detection, multimodal perception, 3D reconstruction

Yulia Sevryugina, Senior Associate Librarian, Library Research – Science and Engineering, University Library

Research Interests: Biological Sciences, Physical Science Methodologies, Data Mining, Data Visualization, Information Theory


Kerby Shedden, Professor of Statistics, College of Literature, Science, and the Arts, Professor of Biostatistics, School of Public Health and Center Director, Statistical Consultation and Research, University of Michigan

Research Interests: Quantile and expectile analysis of clustered, longitudinal, and spatial data, regularized projection pursuit, mediation analysis

Runzi Wang

Runzi Wang, Assistant Professor of Environment and Sustainability, School for Environment and Sustainability, University of Michigan

Research Interests: Earth Science and Ecology, Environmental and Climate Research, Social Science, Data Visualization, AI & Machine Learning, Natural Language Processing, Statistics, Survey Methodology

Matthew Andres Moreno, Schmidt AI in Science Fellow, Michigan Institute for Data Science

Research Interests: Digital Evolution

Christin Salley, Schmidt AI in science Fellow, Michigan Institute for Data Science

Research Interests: Analysis of equitable social and infrastructure systems and services with AI applications

Alyssa Schubert, Schmidt AI in Science Fellow, Michigan Institute for Data Science

Research Interests: AI for sensor data analysis for water quality monitoring