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Reproducible Computational Science

From Modelado Foundation

Revision as of 20:58, March 13, 2017 by imported>Wpinfold (→Papers)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

Computational science has enable significant breakthroughs in science and engineering but, a number of factors make this work dificulty to reproduce. Reproducibility is a foundation of the scientific method so we must to redouble our efforts to make this work easy to reproduce.

Contents

  • 1 Papers
  • 2 Events
    • 2.1 Future
    • 2.2 Past
  • 3 Tools
  • 4 Speakers

Papers

  • Social, Behavioral, and Economic Sciences Perspectives on Robust and Reliable Science, Report of the Subcommittee on Replicability in Science Advisory Committee to the National Science Foundation Directorate for Social, Behavioral, and Economic Sciences

Events

Future

  • TBD

Past

  • Reproducibility Colloquia: http://www.nasonline.org/programs/sackler-colloquia/completed_colloquia/Reproducibility_of_Research.html
  • http://www.mrsec.harvard.edu/2017NSFReliability/index.html

Tools

  • Project Jupyter
  • binder
  • everware
  • Occam
  • Popper Project
  • Taverna Workflow Management System
  • myExperiment with a good example of use here
  • OnlineHPC
  • Kepler Project
  • VisTrails
  • Madagascar
  • EasyBuilder
  • Spack
  • Shifter

Speakers

  • Bruce Childers
  • Todd Harris
  • Jeremy Freeman
  • Ward Cummingham and his Federated wiki
  • Bernard Rous
Retrieved from "https://modelado.org/index.php?title=Reproducible_Computational_Science&oldid=5027"
  • This page was last edited on December 5, 2025, at 13:18.
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