SciPy 2013 Call for Conference Abstracts
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SciPy 2013, the twelfth annual Scientific Computing with Python conference, will be held this June 24th-29th in Austin, Texas. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from academic, commercial, and governmental organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.
The deadline for abstract submissions is April 3rd, 2013. Submissions are welcome that address general scientific computing with Python, or one of the two special themes for this years conference, or the domain-specific mini-symposia held during the conference. Examples talks from previous years are available online .
Two specialized tracks run in parallel to the general conference:
- Machine learning
- Reproducible science
Mini-symposia on the following topics are also being organized:
- Medical imaging
- Meteorology, climatology, and atmospheric and oceanic science
- Astronomy and astrophysics
The 150-300 word abstract should concisely describe software of interest to the SciPy community, tools or techniques for more effective computing, or how scientific Python was applied to solve a research problem. A traditional background/motivation, methods, results, and conclusion structure is encouraged but not required. Links to project websites, source code repositories, figures, full papers, and evidence of public speaking ability are encouraged.
Each abstract will be peer-reviewed by multiple members of the Program Committee Board. Please submit your abstract at the SciPy 2013 website  abstract submission form. Abstracts will be accepted for posters or presentations.
Optional papers to be published in the conference proceedings will be requested following abstract submission. This year the proceedings will be made available prior to the conference to help attendees navigate the conference. These papers will be reviewed and posted in webform via the SciPy Proceedings guidelines at https://github.com/scipy/scipy_proceedings.
Additionally, SciPy 2013 participants will be invited to submit full and original research papers to be reviewed for a focus issue on Scientific Computing with Python in Computational Science & Discovery (CSD), IOP Publishing's electronic-only, multidisciplinary journal for the computational science community. Further details (guest editors, issue scope, submission details, etc) will be announced soon. More information about CSD can be found at the journal's website: http://www.iopscience.org/csd
The SciPy 2013 Program Committee Chairs
- Matt McCormick, Kitware, Inc.
- Katy Huff, University of Wisconsin-Madison and Argonne National Laboratory