<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Marianne Corvellec on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/marianne-corvellec/</link><description>Recent content in Marianne Corvellec 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/marianne-corvellec/index.xml" rel="self" type="application/rss+xml"/><item><title>Webinar with Rochelle Tractenberg: Debrief</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/03/tractenberg-summary/</link><pubDate>Tue, 20 Mar 2018 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/03/tractenberg-summary/</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 February 2, the &lt;a href="https://docs.carpentries.org/topic_folders/assessment/assessment-network.html">Assessment Network&lt;/a> held a well-attended webinar with &lt;a href="https://blogs.commons.georgetown.edu/crom/rochelle-e-tractenberg/">Rochelle Tractenberg&lt;/a>.
Dr. Tractenberg holds two PhDs, one in Cognitive Sciences and the other in Statistics, and directs the Collaborative for Research on Outcomes and Metrics at Georgetown University, where she is a tenured professor in the Department of Neurology. It was a great privilege for our community to be able to engage in a conversation with her and to learn from her expertise.&lt;/p></description></item><item><title>Webinar with Rochelle Tractenberg: Debrief</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/03/tractenberg-summary_dc/</link><pubDate>Tue, 20 Mar 2018 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2018/03/tractenberg-summary_dc/</guid><description>&lt;p>&lt;strong>This post originally appeared on the &lt;a href="https://datacarpentry.org">Data Carpentry website&lt;/a>&lt;/strong>&lt;/p>
&lt;p>On February 2, the &lt;a href="https://docs.carpentries.org/topic_folders/assessment/assessment-network.html">Assessment Network&lt;/a> held a well-attended webinar with &lt;a href="https://blogs.commons.georgetown.edu/crom/rochelle-e-tractenberg/">Rochelle Tractenberg&lt;/a>.
Dr. Tractenberg holds two PhDs, one in Cognitive Sciences and the other in Statistics, and directs the Collaborative for Research on Outcomes and Metrics at Georgetown University, where she is a tenured professor in the Department of Neurology. It was a great privilege for our community to be able to engage in a conversation with her and to learn from her expertise.&lt;/p></description></item><item><title>Challenges Assessing Data Science</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/12/assessing-data-science/</link><pubDate>Mon, 11 Dec 2017 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/12/assessing-data-science/</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="https://docs.carpentries.org/topic_folders/assessment/assessment-network.html">Assessment Network&lt;/a> was established as a space for those working on assessment within the open source/research computing community to collaborate and share resources. During our quarterly meeting in November, we engaged one another in a conversation revolving around data science education. This meeting was organized and hosted online by Kari Jordan, and six community members attended.&lt;/p>
&lt;p>First, we discussed the definitions of data scientist, data analyst, and data engineer; second, we worked in pairs on a set of questions about assessing data science education.&lt;/p></description></item><item><title>Challenges Assessing Data Science</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/12/data-science-assessment-challenges/</link><pubDate>Mon, 11 Dec 2017 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2017/12/data-science-assessment-challenges/</guid><description>&lt;p>&lt;strong>This post originally appeared on the &lt;a href="https://datacarpentry.org">Data Carpentry website&lt;/a>&lt;/strong>&lt;/p>
&lt;p>The &lt;a href="https://docs.carpentries.org/topic_folders/assessment/assessment-network.html">Assessment Network&lt;/a> was established as a space for those working on assessment within the open source/research computing community to collaborate and share resources. During our quarterly meeting in November, we engaged one another in a conversation revolving around data science education. This meeting was organized and hosted online by Kari Jordan, and six community members attended.&lt;/p>
&lt;p>First, we discussed the definitions of data scientist, data analyst, and data engineer; second, we worked in pairs on a set of questions about assessing data science education.&lt;/p></description></item></channel></rss>