Reproducible Computational Science

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.

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

GCTC Supercluster Events

Date	Event	Location
March 8-10th, 2017	National Academy of Sciences Sackler Colloquium Reproducibility of Research: Issues and Proposed Remedies	Washington D.C
February 25 – 26, 2017	Platform SuperCluster Workshop	Beckman Center of the National Academies of Sciences & Engineering University of California at Irvine

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