About

What is CaRCC?

CaRCC – the Campus Research Computing Consortium – is an organization of dedicated professionals developing, advocating for, and advancing campus research computing and data* and associated professions. Current focus areas include building community among research computing and data professionals, connecting the broader research computing and data ecosystem (see People Network), professionalization and workforce development, and defining stakeholders and shared value propositions for the community at a time of accelerating change.

CaRCC is still defining itself, continuing to evolve and open to new ideas. Get involved! Current areas of high priority, based on survey results and discussions among participants, include the following areas:

    • CI workforce development and professionalization.
    • Connecting the national community of research computing and data professionals and promoting various facing roles, such as researcher-facing, systems-facing, stakeholder-facing, and software/data-facing.
    • Defining stakeholders and value propositions for the CI, research computing and data communities, broadly defined.
    • Understanding the current state and future roadmap for advocation, support, and sustainability of research computing on campuses and beyond.
    • Development of products that help define, support, and steward the profession of research computing and data on campuses.

CaRCC also refers to:

    • The funded NSF RCN award OAC-1620695 (PI: Jim Bottum) “RCN: Advancing Research and Education through a national network of campus research computing infrastructures – The CaRC Consortium”, which begot the consortium.
    • An extension of the ACI-REF** experiment, a group of campuses who have banded together in an attempt to figure out how to sustain and maintain the massive growth in demand for research computing on our campuses by sharing, collaborating, working together and developing best practices.
    • A virtual organization of committed people working to provide products that help to advance research computing and data, such as helping to define the profession, to bring communities together, and to understand the common challenges and future needs of research computing and data, broadly defined.

If you have questions about CaRCC or how to get involved, please contact us at help@carcc.org! 

Who ‘Leads’ CaRCC?

CaRCC is a community-led effort, with leadership of various activities contributed by partners and volunteers at a variety of academic institutions and supporting organizations. If you had to name the Leadership Team, it is largely the people listed below.

CaRCC Logistics Team

The Logistics Team develops, coordinates, distributes, and supports the infrastructure of people and resources (email lists, Google Docs, calendars) that enable various CaRCC efforts. If you have questions about CaRCC or would like to learn more, e-mail us at help@carcc.org.

As of early 2020, the Logistics Team includes:

  • Dana Brunson, Internet2 (original Council Member, People Network co-Coordinator and on several Working Groups)
  • Tom Cheatham, University of Utah (original Council Member, CaRCC Council Chair elected in 2017 and on several Working Groups)
  • Rich Knepper, Cornell University (co-Coordinator of the Emerging Centers track in the People Network and on several Working Groups)
  • Ruth Marinshaw, Stanford University (original Council Member and on several Working Groups)
  • Lauren Michael, UW-Madison (original Council Member, People Network co-Coordinator and on several Working Groups)
  • Patrick Schmitz, Semper Cogito (original Council Member and on several Working Groups)
  • Scott Yockel, Harvard University (original Council Member and on several Working Groups)

CaRCC Chairs

The CaRCC Chairs meet every 2-4 weeks to coordinate activities between the People Network, Working Groups, and the Logistics Team (above), and includes (as of early 2020):

  • Dana Brunson, Internet2 (Capabilities Model; Ecosystem; People Network)
  • Dhruva Chakravorty, Texas A&M (Funding and Sponsorships)
  • Thomas Cheatham, University of Utah (CaRCC)
  • Bob Freeman, Harvard Business School (Engagement)
  • Ruth Marinshaw, Stanford University (Decadal Survey)
  • Lauren Michael, UW-Madison (Logistics; People Network)
  • Claire Mizumoto, University of California, San Diego (Capabilities Model; Engagement)
  • Patrick Schmitz, Semper Cogito Consulting (Capabilities Model; CI Professionalization)
  • Andrew Sherman, Yale University (Stakeholders & Value Proposition)
  • Dan Stanzione, TACC (Decadal Survey)
  • John Towns, NCSA (Decadal Survey)
  • Barr von Oehsen, Rutgers University (Stakeholders & Value Proposition)
  • Jim Wilgenbusch, University of Minnesota (Ecosystem)
  • Scott Yockel, Harvard University (CI Professionalization)

People Network Coordinators

The People Network is coordinated by a team of individuals, including coordinators for focused ‘tracks’ within the network:

  • Troy Baer, Ohio Supercomputer Center (Systems-Facing Track)
  • Dana Brunson, Internet2 (People Network Coordinator)
  • Lauren Michael, UW-Madison (People Network Coordinator)
  • Jane Combs, University of Cincinnati (Emerging Centers Track)
  • Bob Freeman, Harvard Business School (Researcher-Facing Track)
  • Brian Haymore, University of Utah (Systems-Facing Track)
  • Rich Knepper, Cornell University (Emerging Centers Track)
  • Christina Maimone, Northwestern University (Data-Facing Track)
  • Claire Mizumoto, University of California-San Diego (Researcher-Facing Track)
  • Matthew Rich, Northwestern University (Data-Facing Track)

* Research computing and data” involves people, scholarship, and resources supporting the needs of researchers and research leveraging compute, data, networking, and software, broadly defined, including the professionals who execute and support these efforts. Whereas entities supporting research computing and data historically emerged from operating and supporting high performance computing, the needs, capabilities and technologies have sufficiently broadened the scope of research information technology to include virtualization, support for the cloud, containers, middleware, workflows, data management, data movement, compliance and security, user training, support of instruction using advanced research computing and data, on-boarding into new technologies, and deep engagement (“facilitation”) to help guide researchers.

** ACI-REF refers to the NSF OAC-1341935 “Advanced Cyberinfrastructure – Research and Educational Facilitation: Campus-Based Computational Research Support” award (PI: Bottum) that supporting building best practices and a network of facilitators support research computing on six campuses (Clemson U, Harvard U, U Wisconsin at Madison, U Southern California, U Utah, and U Hawaii).  http://aciref.org.