DSSG (at Carnegie Mellon University in Pittsburgh) will begin May 30, 2022 and end August 19, 2022
The summer program is an in-person, full-time, 12-week program where fellows work in teams supported by full-time senior data science mentors and project managers as well as attend workshops, lectures, and other activities. As of now, we don't believe we can replicate this experience in a virtual setting and we are planning on holding an [...]
The Fellowship is a project-based training program designed to produce data scientists and Ml/AI practitioners with strong skills in solving real-world problems and an understanding, excitement, and passion for solving problems with social impact. We have three goals (prioritized in that order): Training Fellows: We want to help create the next generation of data scientists [...]
Collaborative, Ethical, and Inclusive. We know we don't know everything and want everyone involved to shape the Fellowship. We're open to ideas, criticism, and help. Yes, we are data-driven but more than that, we're problem-driven. We care about impact and how our work is used to improve society in a fair and equitable manner.
Most of the summer, Fellows work with their team on their project. We augment that with lectures, hands-on workshops, seminars (from local and visiting guests), happy hours (with the local tech, data science, non-profit, and government communities), meet-ups, field trips, and other social activities (sailing trips, tours, concerts, etc.). Some of these are planned in [...]
Typically, we get 600-1000 applications for 24-40 positions
No. We can make some exceptions for up to 2 days off during the summer (for critical cases), but spending a week away from the work is not fair to the other fellows on your team. If you need to be away for a week during the summer, this may not be the summer for [...]
Yes, we are hosting information sessions - watch our website for dates.
If you are certain that your question is not covered in the Frequently Asked Questions, contact us. If your question is in the FAQs, we may give you a hard time about it and may not answer your email