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MATCH Launches

April 22, 2022

MATCH (Multi-tier Assistance, Training & Computational Help) is a new approach to providing cost-effective scaled support to the broad scientific community using national cyberinfrastructure.

Led by Dr. Shelley Knuth (CU) Dr. Ewa Deelman (USC) Anthony Elam (UK) John Goodhue (MGHPCC) Dr. James Griffioen (UK) Dr. David Hudak (OSC) and Julie Ma (MGHPCC) this new MGHPCC Collaborative Project was developed in response to Track 2 of the NSF ACCESS solicitation and is funded by NSF Award #2138286.

Centered around three themes MATCH seeks to:

1) leverage modern information delivery systems and simplify user interfaces to deliver support when needed.
2) engage community experts to develop materials that reduce the learning curve for end-users.
3) match specialist mentors and student mentees with projects to provide domain-specific expertise.

Visit the ACCESS MATCH Portal

Research projects

Tornado Path Detection
Revolutionizing Materials Design with Computational Modeling
Surface Behavior
AI Pareidolia
Evolution of Viral Infectious Disease
Multifunctional 3D-Printed Materials
The Institute for Experiential AI
Impact of Marine Heatwaves on Coral Diversity
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

OUTREACH & EDUCATION PROJECTS

See ALL Scholarships
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