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reproducibility@XSEDE
An XSEDE14 Workshop
July 14, 2014
Atlanta, GA

Stodden to open workshop

Victoria Stodden, assistant professor of statistics at Columbia University, will give the kickoff talk at reproducibility@XSEDE: An XSEDE14 Workshop. Stodden has served on the National Academies of Science committee on "Responsible Science: Ensuring the Integrity of the Research Process." She has developed software platforms (researchCompendia.org, RunMyCode.org, SparseLab) and written many articles and recommendations (e.g. the "Reproducible Research Standard") and has testifed before the Congressional House Science, Space and Technology Committee on Scientific Transparency and Integrity. Stodden has a PhD in statistics from Stanford University and an MLS from Stanford Law School.

Overview

The reproducibility@XSEDE workshop is a full-day event scheduled for Monday, July 14, 2014 in Atlanta, GA. The workshop will take place in conjunction with XSEDE14 (conferences.xsede.org), the annual conference of the Extreme Science and Engineering Discovery Environment (XSEDE), and will feature an interactive, open‑ended, discussion-oriented agenda focused on reproducibility in large-scale computational science. Consistent with the overall XSEDE14 conference theme, we seek to engage participants from a broad range of backgrounds, including practitioners whose computational interests extend traditional modeling and simulation as well as decision-makers and other professionals whose work informs and determines the direction of computation-enabled research. We hope to help promote a culture of reproducibility within the broad community of stakeholders connected to computation-enabled research, and expect our work to lead to recommendations address to this community.

This event will build on the 2009 Yale Data and Code Sharing Roundtable (stodden.net/RoundtableNov212009), which culminated in a declaration "demanding a resolution to the credibility crisis from the lack of reproducible research in computational science". We intend the XSEDE14 workshop as a response to the challenges issued in the Yale 2009 declaration.

Call for Participation

The workshop committee seeks short, informal reflections in the spirit of the Yale 2009 submissions (www.stanford.edu/~vcs/Conferences/RoundtableNov212009/ThoughtPieces) that: (1) connect the Yale 2009 Declaration to the needs, priorities, constraints, and circumstances of communities like XSEDE; (2) reflect a strong, informed point of view; and (3) include specific, well-reasoned recommendations. Submitters should keep in mind that the XSEDE14 workshop is neither a tutorial nor a forum for presenting research results.

Register to attend to the workshop as part of the XSEDE14 registration process (https://conferences.xsede.org/registration). Individuals who do not plan to attend the workshop are welcome to make submissions.

Submission and Formatting Instructions

Submit written contributions in PDF to the XSEDE14 EasyChair site at http://www.easychair.org/conferences/?conf=xsede14. Limit submissions to a maximum of four pages. There are no other formatting requirements for this workshop.

The workshop committee will conduct an informal review of all submissions. We will use submissions received on or before April 5, 2014 to help craft the workshop agenda and select individuals for leadership roles. All reasonable and appropriate submissions received on or before June 15, 2014 will appear essentially "as is" at xsede.org/reproducibility in advance of the event. Workshop submissions are not subject to formal peer review and will not become part of the official XSEDE14 Conference Proceedings. They will, however, enjoy extended web presence after the workshop on the xsede.org/reproducibility website.

Send questions to reproducibility@xsede.org.

 

reproducibility@XSEDE Organizing Committee

  • Chair: Doug James, Texas Advanced Computing Center

  • Lorena A. Barba, George Washington University

  • Elvind Hovig, University of Oslo

  • Daniel S. Katz, University of Chicago & Argonne National Laboratory

  • Sophie Kay, University of Oxford

  • Pragnesh Patel, National Institute for Computational Sciences

  • Carlos Rosales, Texas Advanced Computing Center

  • David Skinner, National Energy Research Scientific Computing Center

  • Victoria Stodden, Columbia University

  • Nancy Wilkins-Diehr, San Diego Supercomputer Center