Contributed Thought Pieces
Participants in the Roundtable were asked to submit a short thought piece on reproducibility prior to the meeting. Here are the submissions.
- Reproducible research and genome scale biology: approaches in Bioconductor, Vincent Carey,
Associate Professor of Medicine (Biostatistics), Harvard Medical School, and Robert Gentleman, Genentech,
- Open Science and Verifiability, Dan Gezelter, Associate Professor,
Department of Chemistry & Biochemistry, University of Notre Dame,
- How Deep to Go, How Soon, in Data and Code Sharing?, Alyssa Goodman, Professor of
Astronomy, Harvard University,
- Dissemination and Management of Computational Science Software, Matt Knepley, Senior Research Associate, Computation Institute, University of Chicago,
- Remote Access to Micro-data: Transparency in Building Evidence-based Policy, Julia Lane, Program Director Science of Science and Innovation Policy, National Science Foundation,
- Thoughts for the Roundtable on Data and Code Sharing in the Computational Science, Randy
LeVeque, Professor of Applied Mathematics, University of Washington,
- Transforming the Computational Sciences to Achieve Reproducible Research, Ian
Mitchell, Associate Professor, Computer Science, University of British Columbia, and Michael Friedlander, Associate Professor, Computer Science, University of
British Columbia,
- Data as Infrastructure: Lessons from Business for Academic Openness, Frank Pasquale, Law Professor, Seton Hall University,
- Comments on Bringing Innovation into the U.S. Economic Accounts, E.J. Reedy, Kauffman Foundation,
- Incentives not to Share, Josh Rolnick, Yale Law School and Stanford Medical School,
- Thoughts on the sharing of data and research materials, and the role of journal policies,
Hilary Spencer, Web publishing and Nature Precedings, Nature,
- Data and Code Sharing in Computational Science: Two Thoughts, Ramesh
Subramanian, Professor, Computer Science, Quinnipiac University,
- Reflections on Computation in Scientific Research: Reproducibility, Lock-in, and Deductive Systems, Victoria Stodden, Postdoctoral Fellow, Information Society Project, Yale Law School,
- View Source, Chris Wiggins, Associate Professor, Applied Mathematics, Columbia University.
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