<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Anissa Tanweer on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/anissa-tanweer/</link><description>Recent content in Anissa Tanweer 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/anissa-tanweer/index.xml" rel="self" type="application/rss+xml"/><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>
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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>.
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