Advanced Computing Student Collaborative

Presented by the U.S. National Science Foundation (NSF) Leadership-Class Computing Facility (LCCF)

A unique opportunity for undergraduate students from all disciplines who want to learn or enhance computational and data analytics skills and apply Artificial Intelligence (AI) for a societal advancement-themed experience.

No prior programming experience or knowledge of the program theme is required.

ACSC is accepting applications for two cohorts in 2026. Applicants may apply to more than one program, but can participate in only one if selected.

  1. ACSC @ Pacific | August 1-7, 2026
  2. ACSC @ SC26 | November 14-20, 2026

The paid, weeklong program, with virtual training activities leading up to the experience, engages students who want to work collaboratively to:

  • Learn about the applications of Artificial Intelligence, Data Science, and High Performance Computing.
  • Experience the latest tools and techniques for exploring data through visualization.
  • Expand skills in team-based problem-solving.
  • Learn to communicate ideas more effectively to the general public.
  • Experience a professional conference (or team experience), including networking and learning about careers in computing.
NSF Leadership Class Computing Facility, Texas Advanced Computing Center, The University of Texas at Austin logo lockup

This program is funded by the U.S. National Science Foundation Award #2323116.

2026 ACSC Opportunities

Eligibility

Students will be assigned to teams to ensure a balance of backgrounds. The costs of airfare, lodging, meals, and conference registration will be provided. Additionally, a participant stipend will be provided. Eligibility requirements:

  • Be currently enrolled as an undergraduate student:
    • in good standing,
    • pursuing any major,
    • and planning to complete an undergraduate degree program at an accredited U.S. college or university.
  • Have a minimum overall GPA of at least 2.5/4.0 (or equivalent).
  • Be at least 18 years of age at the start of the program.
  • Be able to participate in virtual program training and activities leading up to the event.
  • Complete the online application form before the deadline.

Program Impact
2016-2025

276
Participants

13
Cohorts

57%
Women

13%

Community College & Opportunity-Youth

26%

African American/
Black

12%

Native Hawaiian or Pacific Islander

26%
Hispanic/Latinx

16%
Asian

12%
White