(to be held in conjunction with SciPy2014, AT&T Conference Center, room TBA, Thursday, 10 July 2014, Austin, TX, USA) Sustaining scientific software, across funding streams, research interests, and participants, is increasingly viewed as one of the major challenges facing computational science. This half-day workshop will collect and share experiences from the Scientific Python ecosystem on how projects have successfully, and unsuccessfully, addressed sustainability. The workshop will open with presentations from community leaders about how they have sustained development, and will include a panel discussion and an open forum for discussion of how to best manage education and training, funding, community growth, development, and how to shape policy at the national and international levels.


Start time: 1:30 pm This workshop will feature a format of 25 minute retrospective talks on sustainability patterns — successful and unsuccessful — from leaders in the Scientific Python community, followed by round table discussions. Confirmed speakers:


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