Plenary Presentations

What’s New at U-M: A Sampler of Resources and Services

Presented by ORCI leadership

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Patterson Presentation Slides

This welcome panel features the latest news of CI resources and services, as well as plans going forward, and a tour of the ORCI website and resources. Presenters include:

  • Dan Atkins, Associate VP of Research Cyberinfrastructure, on the CIRRUS Project and “big data” opportunities in the future
  • Ken Powell, ORCI’s Faculty Director for Research Services and CIRRUS Director, on the status and trajectory of Flux, U-M’s high-performance computing cluster
  • Laura Patterson, CIO, on ORCI in the context of the university’s NextGen programs.
  • Sharon Broude Geva, Associate Director for Academic Community Engagement in ORCI, on the ORCI website

nanoHUB.org powered by HUBzero® – A Platform for Collaborative Research and Dissemination with Quantifiable Impact on Research and Education

Presented by Gerhard Klimeck

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Klimeck Presentation Slides

nanoHUB.org served a community of 181,000 users in the past 12 months with an ever-growing collection of 2,700 resources, including over 220 simulation tools. nanoHUB.org is driving significant knowledge transfer among researchers and speeding transfer from research to education. The open-source HUBzero software platform, built for nanoHUB, is now powering many other hubs. This presentation will overview nanoHUB processes and impact and provide a vision for a Federation of HUBs for the advancement of science and engineering.

Gerhard Klimeck is the Director of the Network for Computational Nanotechnology at Purdue University and a Professor of Electrical and Computer Engineering.

The future of CI-enabled discovery and learning from the NSF perspective

Presented by a panel at the National Science Foundation 

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A distinguished panel of National Science Foundation directors discusses “The future of CI-enabled discovery and learning from the NSF perspective.” They “attended” remotely from NSF headquarters in Arlington, VA, and the National Academies Keck Center in Washington, DC via Google Hangout. Speakers include:

  • Alan Blatecky, Director of the Office of Cyberinfrastructure
  • Joan Ferrini-Mundy, Assistant Director of the Directorate for Education & Human Resources
  • Myron P. Gutmann, Assistant Director of the Directorate for the Social, Behavioral, and Economic Sciences
  • Farnam Jahanian, Assistant Director of the Directorate of Computer and Information Science and Engineering
  • Tim Killeen, Assistant Director of the Directorate for Geosciences
  • Edward Seidel, Assistant Director of the Directorate for Mathematical and Physical Sciences

Understanding the Planetary Life Support System: Next Generation Science in the Ocean Basins

Presented by John Delaney

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To better understand the global ocean, researchers are using sophisticated robot-sensor systems distributed throughout full-ocean environments, powered by submarine-cabled networks connected to the global Internet that provide unprecedented electrical power and bandwidth.

Partly triggered by the advent of a growing number of these cabled research systems, oceanographers are poised to benefit from a host of emergent technologies, and more importantly, their convergence. As these rapidly evolving capabilities are integrated into sophisticated, remote, interactive operations throughout the ocean, scientists will witness a new era of human tele-presence throughout the once ‘inaccessible’ global ocean.

John Delaney is Professor of Oceanography and holds the Jerome M. Paros Endowed Chair in Sensor Networks at the University of Washington.

The Credibility Crisis in Computational Science: A Call to Action

Presented by Victoria Stodden

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Stodden Presentation Slides

Victoria StoddenComputation is emerging as central to the scientific enterprise. Like the other branches of the scientific method have done in the past, computational science must now develop standards of reproducibility and verifiability for published results. Currently, computational science is error-prone and immature—traditional scientific publication is incapable of finding and rooting out errors in scientific computation—which must be recognized as a crisis.

A necessary response to this crisis is reproducible computational research in which researchers publish the article along with the full computational environment that produces the results. Journal editors, computational scientists, funding agencies, and institutional standards all have a role to play in encouraging the sharing of both data and code along with the published computational results. I discuss next steps in facilitating reproducibility from each of these vantage points, and highlights success stories building the movement toward really reproducible research.

Victoria Stodden is Assistant Professor of Statistics at Columbia University.