[Chicago] \welcome Scientifc SIG

Mark Mandel mandel01 at gmail.com
Thu Oct 15 16:51:58 CEST 2015

Hi Loren,

Sheila’s links look great for substantial projects. If you (or other folks) might be interested in having a significant impact and shaping the direction of a new project I would put in a plug in for the work I talked about at ChiPy last week: https://github.com/mandel01/pyinseq

We are a small local lab, and right now I am the only one working on the software side. We are looking to build resources and would love help. If there are steps I could take to describe our objectives and ambitions more clearly I’d be happy to do so in whatever manner is most useful. We are at very early stages, but looking ahead are eager to incorporate into larger projects and maximize the impact of the work.


> On Oct 15, 2015, at 9:03 AM, sheila miguez <shekay at pobox.com> wrote:
> On Wed, Oct 14, 2015 at 4:25 PM, Loren Velasquez <lm.velasquez12 at gmail.com <mailto:lm.velasquez12 at gmail.com>> wrote:
> Is there by any chance a bioinformatics/scientific open source project happening that one could volunteer for? Just curious because I'm down if there is. Always happy to help :D
> To follow up some more, there are endeavors all across the board of experience that people can follow. Do searches on open science and reproducible research. There are communities around both that result in projects like the Open Science Framework or communities of practice where people with devops skills can look at how researchers are learning to do "reproducible deployments" for their papers. The classical concept of literate programming comes from people writing reproducible papers. Mozilla Science Lab runs events where people get together to work on projects. Software Carpentry focuses on training scientists in learning enough programming and techniques to do research well.
> https://www.mozillascience.org/collaborate <https://www.mozillascience.org/collaborate>
> https://www.mozillascience.org/blog <https://www.mozillascience.org/blog>
> http://osc.centerforopenscience.org/2014/07/30/open-source-software-for-science/ <http://osc.centerforopenscience.org/2014/07/30/open-source-software-for-science/>
> https://cos.io/ <https://cos.io/>
> https://cos.io/involved_participate/#tab_4 <https://cos.io/involved_participate/#tab_4>
> http://science.okfn.org/ <http://science.okfn.org/>
> http://numfocus.org/ <http://numfocus.org/>
> There are conferences people can attend to learn more about how python and other languages (R, Julia, etc.) are used in research, http://pydata.org/ <http://pydata.org/> http://conference.scipy.org/ <http://conference.scipy.org/> and they provide scholarships for people to attend and encourage participation.
> (I quit Orbitz to work with a prof at Columbia University of New York to work on reproducible science research and tools so I have scads of bookmarks)
> -- 
> shekay at pobox.com <mailto:shekay at pobox.com>_______________________________________________
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