SP2 Mentor Collective

The Mentor Collective program enhances the student and alumni experience by connecting students one-on-one with an SP2 alum mentor

SP2 students are paired with someone invested in their success — a person ready to listen, inspire, help navigate challenges, and recognize opportunities. SP2 students will learn what to expect in their respective degree programs, how to approach challenges, and gain career advice. At the same time, SP2 alumni mentors will build their networks, develop skills to become better professionals and leaders, as well as support our future leaders in social change.

three alumni sit at table and chat

SP2 Mentor Collective Program

We are excited to offer an opportunity for current students and alumni to build a meaningful, collaborative, community of practitioner-scholars. The SP2 Mentor Collective Program is an opportunity to:

  • Enhance students’ experiences
  • Cultivate personal and social connections
  • Develop professional networks
  • Effect meaningful change
Two people speaking. A computer is on the table in front of them.

“Participating in this mentorship program has made me feel more connected to the University of Pennsylvania.”


Natalie, MSW ’01, SP2 Mentor

Events

12/06

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Creators for Community Safety Institute, SAFELab & Penn Medicine

This event brings together creators, influencers, community leaders, and advocates for a one-day, hands-on workshop focused on how social media and storytelling can promote gun violence prevention, community safety, and […]

Events

12/08

Governing Ai For Social Good 3

Governing AI for Social Good: Social Policy & Practice at TikTok and Anthropic

How do we ensure AI technologies serve communities and promote social good? Join us for an insider conversation with engaged scholars actively shaping how major tech platforms govern AI. Our […]

News

Headshots of Konrad Kording and Ioana Marinescu

How might AI shape the future of work?

Computer scientist Konrad Kording and economist Ioana Marinescu have developed an interactive model that incorporates assumptions from both their fields to predict how AI will affect wages, jobs, and the overall economy.