Rising Stars in Generative AI

Content

The Rising Stars in Generative AI workshop is a premier event focused on celebrating and accelerating the careers of exceptional scholars in generative AI at a pivotal moment in their professional journey: the transition to postdoctoral roles, research scientist positions, industry research roles, or tenure-track positions. In its inaugural year, the Rising Stars in Generative AI workshop aims to highlight and support emerging leaders from diverse backgrounds who are pushing the boundaries of artificial intelligence.

This fall, Manning College of Information and Computer Sciences at UMass Amherst will showcase innovative and groundbreaking research initiatives in generative AI. The event will provide PhD students and postdocs with the opportunity to engage with leading experts, connect with influential networks, and explore new platforms for their research. The workshop is dedicated to increasing representation and diversity in generative AI by offering a platform and a supportive mentoring network to guide participants through the early stages of their academic and research careers. We encourage all graduate students and postdocs, particularly those from groups underrepresented in AI, to apply, including but not limited to individuals from diverse racial, ethnic, geographic, and socioeconomic backgrounds, sexual orientations, genders, and persons with disabilities.

The one-day workshop will feature career and research panels, networking and mentoring opportunities, and research presentations from the Rising Stars. Participants will gain valuable insights from faculty panels on critical topics such as: how to launch a successful academic career in AI; strategies for sustaining and advancing your career through research collaborations, publications, and skill development; and how to create impactful interdisciplinary collaborations with industry and government partners in the field of AI. Attendees will also be inspired by keynote talks from distinguished leaders at the forefront of generative AI research.