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ERN @ PEARC’24
July 21 @ 8:00 am – July 25 @ 5:00 pm
PEARC’24 is being held July 21-25, 2024, in Providence, RI, and ERN will be participating in the activities listed below discussing ERN and our recent projects. We look forward to seeing you there.
Tuesday, July 23
Community of Communities
Co-Location Event
12:30 PM – 2:00 PM Ballroom C
Panelists: Dana Brunson – Internet2, Tom Cheatham – CARCC, Sandra Gesing – US-RSE, Forough Ghahramani – Campus Champions, John Goodhue – MGHPCC, Julie Ma – Open OnDemand, Henry Neeman – Virtual Residency Program, Andy Sherman – CAREERS, Barr von Oehsen – ERN
The Community of Communities (CoCo) working group envisions connecting communities of RCD++ (Research Computing and Data, broadly defined) professionals. The working group advocates for the role of RCD professionals in a way that such professionals can find organizations that align with their interests and goals, exchange experiences to further their knowledge, expertise, and skill sets, and enable them to feel part of a community that values and incentivizes their work. A key goal of the group is to develop a comprehensive mapping of the RCD ecosystem and guide people to suitable activities and projects/initiatives in the ecosystem such as CaRCC, Campus Champions, US-RSE (to name a few, but by no means an exhaustive list). These connections may be of particular interest to those just starting out in RCD or those looking to build collaborative relationships.The CoCo working group grew out of the Community of Communities Working Group associated with the NSF CI Workforce Development Workshop in 2020. This CoCo recruiting event invites everyone interested and part of the RCD ecosystem to participate, connect, and share experiences, defining collaboration possibilities and developing a vision for the future of the RCD ecosystem.
Wednesday July 24
The Evolving ERN Cryo-EM Federated Instrument Pilot Project
Systems & Software Track Session 6
11:50 AM – 12:00 PM Room 553 A&B
Authors: Maureen Dougherty, Barr von Oehsen, Jason Kaelber, Jeremy Schafer, Bala Desinghu, Morgan Ludwig and John Goodhue
The Ecosystem for Research Networking (ERN) CryoEM Remote Instrument Access Pilot Project addresses the challenges and barriers facing the transition of instrument-driven science self-contained islands to federated wide-area internet accessible instruments. This project’s goal is to facilitate cross-institutional infrastructure sharing at the interface of computing and electron microscopy through a web portal leveraging federated access to one or more instruments, workflows/pipelines utilizing edge computing in conjunction with advanced computing, along with real-time monitoring for experimental parameter adjustments and decision making. The intent is to foster team science and scientific innovation, with emphasis on under-represented and under-resourced institutions, through the democratization of scientific instruments. This paper presents a short summary of some of the challenges encountered with the latest development efforts of this active project, creating a FABRIC Cloudlet and incorporating Pittsburgh Supercomputing Center’s Bridges-2 as an advanced computing option.
Enhancing Research Infrastructure and Workforce Diversity in Higher Education through Strategic Collaboration and Investment – PEARC24
Workforce Development, Training, Diversity and Education Track Session 3
12:10 PM – 12:25 PM Junior Ballroom
Authors: Forough Ghahramani, Sunita Kramer, Barr von Oehsen, Maureen Dougherty and John Hicks
Many smaller and under-resourced institutions, including MSIs, HSIs, HBCUs, and EPSCoR institutions, are engaged in significant science research and education and recognize the value of enhanced access to advanced computing resources. Collaborations, shared resources, and expertise from local, regional, and national levels can substantially support their internal efforts. The Ecosystem for Research Networking (ERN) Broadening the Reach (BTR) working group is actively learning from these institutions on how to better support their needs. The group’s findings and recommendations, derived from community engagement, will be shared, as part of the NSF-sponsored CC*CRIA grant OAC-2018927.