Event Information

The hack will begin with a series of virtual sessions and will conclude with an inperson poster presentation of team findings at the Gateways 2025 conference.

Schedule:

Overview

The 2025 Faculty Hackathon (FacultyHack@Gateways25) convenes faculty from diverse institutions to collaborate on integrating Science Gateway technologies into courses and research workflows. Through structured mentorship and technical training, participants will re-envision syllabi to include accessible, reproducible, and sustainable cyberinfrastructure resources that enhance both teaching and student research experiences.

Expected Outcomes

  • A revised course syllabus incorporating one or more Science Gateway resources
  • A poster submission for the Gateways 2025 Conference outlining pedagogical redesign and projected impact
  • Strengthened peer and mentor networks supporting ongoing collaboration in research computing and education

Broader Impact

By fostering faculty innovation and building technical fluency with cyberinfrastructure, FacultyHack@Gateways25 advances institutional capacity to prepare students for computational and data-intensive careers. The program emphasizes FAIR data principles, reproducible science, and accessible computing resources, aligning with the Science Gateways Community Institute mission to democratize advanced computing for education and research.

Prior Events:


Project Teams

Introduction to Programming I (CSCI1010)

• Sabrina Perry • Izzat Alsmadi(M) • John Holmen(M)

Research Methods and Data Analysis (CPAD 503)

• Oyebade Oyerinde • Anas AlSobeh(M)

Ecology (SBIO 404 B)

• Mary Beals • Mohammed Elmellouki(M) • Troy Wooton(M)

General Biology (412)

• Tanganika Johnson • Olabisi Ojo(M) • Fernando Posada(M)

GPUs for Massively Parallel Mechanistic Modeling

• Pariksheet Nanda • Elijah MacCarthy(M) • Qimora Mason(M)

Intro to Programming (CMP 224)

• Cheryl Swanier • Alexander Fields(M) • Sajida Faiyaz(M)

Cyber Security (CMP 431)

• Joshua Gbadebo • La Tasha Roberts(M) • John Holmen(M)

Bioinformatics for NGS Data Analysis. (BIOL 522)

• Feseha Abebe-Akele • Mohamed Elbakary(M) • Qimora Mason(M)

Bayesian Stats, Geocomputation (DS 400, DS 422)

• Connor Flynn • Trey White(M)

Sessions

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Supporters:


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