9 Matching Annotations
  1. Oct 2019
    1. Open Science thus turns software and datasets into industrial commodities.

      This is a great point and it emphasizes an under-examined aspect of the obstacles researchers face in adopting open science practices, which is that they demand estrangement in the researcher's relationship to their data and code.

  2. May 2016
  3. Sep 2015
    1. Henry J. Gardneris an associate professor at the Australian Na-tional University. His technical interests include scientific software,e-science, and virtual reality. Gardner has a PhD in theoreticalplasma physics from the Australian National University. Contacthim at Henry.Gardner@anu.edu.au
    2. One explanation often given is the huge amount of scien-tific legacy code in the world—after all, differential equa-tions remain the same over time and so do their solvers, sothere’s no reason to rewrite such code. But a great deal ofnew code is written in Fortran95 as well. One of us recentlyserved on a review panel for granting computer time tohigh-impact scientific computing applications that effec-tively use thousands of processors, and every single one ofthe applications he reviewed was written in Fortran. At lastyear’s conference on computational physics in South Korea(CCP2006), most of the plenary speakers who talked aboutcodes used Fortran. Perhaps scientists prefer Fortran be-cause they’re productive when using it



  4. Feb 2015
  5. Jan 2015