SGX3's Association of Computer Science Departments at Minority Institutions (ADMI) Hackathon will take place June 23 - 27, 2025 virtually. The teams will focus on the application of Science Gateway development skills as an extention to the ADMI 2025 Symposium on Computing at Minority Institutions theme "Reproducible Science". Pre-training events have been provided in coordiniation with the SGX3 2025 Virtual Coding Institute.

Prior Events:

Project Teams

CodeRunners

Iyana Jones • Arghavan Noori • Aaliyah Lockett • Copernic Mensah • Holy Agyei

HackStreet Boys

Yari Pettis • Zion Pease • Dave Brown • Ejay Aguirre • Julian Tolbert

Hard to Cache

Charli Brooks • Silas Erving • Chante Ray • Seth Mack

Wiresharks

Auiana D'Avilar • Ayinde Hooks • Shiloh Ames • Ryan Grimes

Event Staff


Nole Stites is a recent Computer Science graduate from Southern Oregon University with a passion for computing education and research. He served as a 2025 SGX3 Coding Institute Trainer, mentoring undergraduates in UNIX and Python while guiding reproducible science projects during the ADMI Hackathon. Nole previously led a six-month research project on quantum computing pedagogy, culminating in a public lecture for CS students. With international study experience at Shinshu University and a track record in tutoring and technical support, he combines technical depth with a commitment to teaching—positioning him as an emerging leader in computer science education.


Why Reproducible Science Matters

Imagine baking a cake and getting it just right—the perfect flavor, texture, and look. Now, imagine someone else wants to bake that same cake using your recipe. If they follow your steps exactly but get a totally different result, something's off, right? That's where reproducible science comes in. In research, especially in HPC and AI, reproducibility means that someone else can take your code, your data, and your instructions, and get the same results you did. It’s how we make sure science is honest, reliable, and useful for the future.

What is Reproducible Science?

In fields like AI and high-performance computing, scientists often run complex simulations or train massive models on supercomputers. These systems can be tricky—tiny changes in code, hardware, or settings can completely change the outcome. If we don’t track everything carefully, even we might not be able to repeat our own work later!

Why is Reproducibility Important?

✅ Trust: Other scientists (and the public) can trust your results.
✅ Progress: Reproducible work can be built on, leading to faster scientific breakthroughs.
✅ Learning: Future researchers can learn from your methods and avoid repeating mistakes.
✅ Teamwork: It’s easier for teams to collaborate when everything is clearly documented and repeatable.

How Do We Achieve Reproducibility?

To keep our science reproducible, we:
  • Save and share the exact versions of our code and software
  • Use tools like containers to freeze the computing environment in time
  • Write clear documentation so others know what we did and why
  • Track how our data moves and changes, step by step>
In Short… Reproducible science is like giving someone the real recipe—not just the ingredients, but the tools, the oven temperature, the mixing time, everything. When we get it right, it means the science works, not just once, but every time someone tries it. And that’s how we build a better, more trusted future together.



About the ADMI25 Hackathon

When:

June 23 - 27, 2025

Where:

Virtual via Zoom

Who:

Persons that have an interest in gaining high-performance computing, science gateways development, and/or data analysis skills in an applied hands-on manner. That includes but is not limited to Students (Certificate seeking/Undergraduate/Graduate/Postgraduate), Faculty/Teachers, Staff, Researchers, and Subject Matter Experts. With coding/research/analysis skill levels ranging from Beginner ( I am in my first course and/or I have heard about it ) to Expert ( I do this professionally and/or publish research ) and everything in between.

This includes persons from:
  • Colleges/Universities (Certificate Granting/2yr/4yr/Non-Doctoral Granting/Doctoral Granting)
  • Public and Private Organizations
  • Companies Small, Medium, and Large
  • National Laboratories
  • Local/Federal/National Agencies
  • In short, YOU!!!

Information Posts

`

Supporters:


  • SGX3 is funded by the National Science Foundation under award number 2231406.