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 [...]
There is no single profile for an ideal fellow. Successful Fellows have different skill profiles and backgrounds in order to create a collaborative community. Everyone has some programming, statistics and data analysis skills in addition to a passion for making social impact. Some are stronger at Computer Science and Machine Learning. Others have a strong [...]
Although we'd love to have people at all levels involved, we prefer you to be a graduate student or at least a senior in college to get the most out of this program. This is because we have learned over the years that fellows with prior skills are able to both get the most out [...]
Typically, we get 600-1000 applications for 24-40 positions