GradFUTURES Learning Cohorts

GradFUTURES Learning Cohorts (GLCs) are a series of interdisciplinary seminars and co-curricular learning opportunities that bring together students, alumni, faculty, and industry partners to focus on current societal, industry, and/or global trends. There are generally seven or more sessions (an hour or more in length) with optional pre-reading and reflection activities. While each learning cohort is unique, most offer an experiential component such as a site visit, shadowing opportunity, immersive project, or internship/fellowship.

Based on the success of previous years’ learning cohorts and graduate students' demand, the 2020-21 academic year line-up will include the Ethics of AI, American Higher Education, Venture Capital and Startups, and Drug Discovery & Pharma-- as well as the launch of four new cohorts focused on Inclusive Leadership, Science & Policy, Sustainability, and Data Science. 

Graduate students, please see our signature programs below and watch the weekly GradFUTURES newsletter for announcements of upcoming learning cohorts. Industry partners, for more information on how your organization can become involved, please reach out to gradfutures@princeton.edu.

GradFUTURES Learning Cohort Interest Form

Learning Cohort Participants

Abraham (Avi) Wolf, GS, CBE
GradFUTURES Learning Cohort Participant
Allison Tang, GS, CBE
Professional Development Working Group Member
Annette Zimmerman
GradFUTURES Learning Cohort Facilitator
Anu Vedantham, *94 (SPIA)
University Administrative Fellowship Mentor
Ashley Casovan
GradFUTURES Forum 2021 Speaker

LEARNING COHORTS IN THE NEWS

PhDs Celebrate Career Diversity with Change-making Graduate Alumni
Feb. 26, 2020
  What is the potential of a PhD? How do Princeton PhDs thrive in various industries and sectors?

Built on success in…

Graduate School reimagines professional development for students
Oct. 19, 2019

This summer, the Graduate School embarked on a strategic planning process involving…

Ethics of AI PDLC Profile
Feb. 28, 2019
Graduate students explore the ethics of artificial intelligence