The Ecosystem for Research Networking Summit 2026

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The Ecosystem for Research Networking Summit 2026

April 22 @ 12:00 pm 5:00 pm

THIS IS A FREE VIRTUAL EVENT

Beyond Resources: Integrating AI, Quantum, and the Workforce of the Future

Join us for the virtual Ecosystem for Research Networking (ERN) Summit 2026 on April 22 from 12:00–5:00 PM ET as we explore this year’s theme: Beyond Resources: Integrating AI, Quantum, and the Workforce of the Future.  This free national conference, focused on the transformative impacts AI and Quantum are having on academia and industry, brings together researchers, educators, cyberinfrastructure professionals, industry partners, and government leaders from both R1 and non-R1 institutions for an afternoon of forward-looking discussion and practical insight.

Wednesday, April 22 – 12:00 PM – 5:00 PM ET  

ERN Summit 2026 Agenda

12:00 – 12:15   
Welcome and Opening Remarks
Barr von Oehsen, Ph.D., Director Pittsburgh Supercomputing Center

12:15 – 1:15      
Keynote  “Heterogeneous Quantum–Classical Computing: Scaling Through Integration”
Masoud Mohseni, Ph.D., Senior Distinguished Technologist, Director of HPE Quantum, Hewlett Packard Labs

1:15 – 2:15       
Panel 1: Building Sustainable Advanced Technologies: Industry and Academic Collaborations 

Explore how industry, universities, national labs, and startups are partnering to accelerate AI and quantum innovation while building experiential workforce pathways.

2:15 -3:15     
Panel 2: Democratizing Access: National Resources and Regional Initiatives
The panel examines national platforms and regional ecosystems that are expanding equitable access to the advanced infrastructure required by advanced technologies. Panelists will discuss federated models, hybrid workflows, and collaborative frameworks that enable broader participation in research and education

3:15 – 4:15     
Panel 3:  Research Data Management in the AI Era
The panel will discuss how governance, metadata standards, compliance, and secure data stewardship underpin reproducible advanced research and drive demand for new data management competencies.

4:15 – 4:45    
Open Discussion and Collaboration

4:45 – 5:00    
Closing Remarks

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