Data Analytics for Science Immersion Experience

The Data Analytics for Science Immersion Experience (DASIE) is a fully funded, weeklong program that introduces undergraduate students to the many ways data informs scientific work. DASIE brings together students from across the country for an opportunity to learn about data-enabled science, connect with the CMU Mellon College of Science community, and explore potential academic and professional paths in fields where data plays a meaningful role.

Throughout the week, participants attend guided sessions and presentations led by MCS faculty and staff, and contributors from the Pittsburgh Supercomputing Center. These sessions highlight examples of how scientists use data in their research and decision-making, offering students a broad view of the questions, approaches, and practices that shape data-informed science. Students also take part in group activities and conversations designed to support reflection on their own interests and goals.

In addition to scheduled programming, DASIE offers space for students to meet peers from a range of institutions, interact with MCS faculty and staff, and learn about different pathways in the scientific ecosystem. The program is designed to help students think about next steps – whether academic, research-oriented, or professional – while building community along the way.

All travel, lodging, local transportation, and meals are fully covered for participants.