<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ariel Rokem on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/ariel-rokem/</link><description>Recent content in Ariel Rokem on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 20 Nov 2024 10:51:28 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/ariel-rokem/index.xml" rel="self" type="application/rss+xml"/><item><title>Applications due March 1st: 2016 eScience Data Science for Social Good summer program</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2016/02/escience-dssg-applications/</link><pubDate>Fri, 26 Feb 2016 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2016/02/escience-dssg-applications/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>The &lt;a href="http://escience.washington.edu/">University of Washington eScience Institute&lt;/a>, in collaboration with
&lt;a href="http://urban.uw.edu/">Urban@UW&lt;/a> and Microsoft, is excited to announce the 2016
Data Science for Social Good (DSSG) summer program. The program brings together
data and domain scientists to work on focused, collaborative projects that are
designed to impact public policy for social benefit.&lt;/p>
&lt;p>Modeled after similar programs at the &lt;a href="http://dssg.uchicago.edu/">University of Chicago&lt;/a> and &lt;a href="http://dssg-atl.com/">Georgia Tech&lt;/a>,
with elements from our own &lt;a href="http://escience.washington.edu/get-involved/incubator-programs/winter-2016/">Data Science Incubator&lt;/a>, sixteen DSSG Student Fellows
will be selected to work with academic researchers, data scientists, and public
stakeholder groups on data-intensive research projects. Graduate students and
advanced undergraduates are eligible for these paid positions.&lt;/p></description></item><item><title>Data Science for Social Good: an Experiment in Data Science Training</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2015/12/escience-dssg/</link><pubDate>Tue, 01 Dec 2015 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2015/12/escience-dssg/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>
Data science faces
&lt;a href="https://jakevdp.github.io/blog/2014/08/22/hacking-academia/">many challenges&lt;/a>
in the traditional academic setting. At the same time, many research fields are
becoming increasingly dependent on data science tools and techniques. A key
element in tackling these challenges is the education of a new generation of
researchers that are fluent in both their research domain and in data science
methodologies. In this post, we discuss an immersive approach to training in
data science, the University of Washington eScience Institute's inaugural
&lt;a href="http://escience.washington.edu/get-involved/data-science-for-social-good/">Data Science for Social Good (DSSG) program&lt;/a>.
&lt;/p></description></item><item><title>Stanford Bootcamp Recap</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2013/05/stanford/</link><pubDate>Thu, 16 May 2013 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2013/05/stanford/</guid><description>&lt;p>&lt;b>This post originally appeared on the &lt;a href="https://software-carpentry.org/">Software Carpentry website.&lt;/a>&lt;/b>&lt;/p>
&lt;p>
On May 6th-7th, we hosted a bootcamp at Stanford University. Participants were students, post-docs and staff affiliated with the &lt;a href="http://cni.stanford.edu/"> Center for Neurobiological and Cognitive Imaging&lt;/a> and the &lt;a href="http://biosciences.stanford.edu/neurosciences.html"> Neuroscience Graduate Program&lt;/a> and both units provided support for the workshop. Bob Dougherty, the research director at the CNI, helped raise a substantial portion of the funds to support the bootcamp (coffee!) and Prof. Miriam Goodman, from the Department of Molecular and Cellular Physiology, helped to get the neuroscience program on board and to secure additional funding from that program. Prof. Goodman was a participant in a SWC bootcamp at Berkeley last year and was eager to get SWC to Stanford. Instructors were Paul Ivanov, Bernhard Konrad and myself.
&lt;/p></description></item></channel></rss>