<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>David Diez on DataScience.LA</title><link>https://datasciencela.github.io/authors/david-diez/</link><description>Recent content in David Diez on DataScience.LA</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>DataScience.LA, 2014–2021 · Read-only archive: comments are closed.</copyright><lastBuildDate>Mon, 20 Oct 2014 11:14:57 -0700</lastBuildDate><atom:link href="https://datasciencela.github.io/authors/david-diez/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenIntro.org on why introductory textbooks are so expensive</title><link>https://datasciencela.github.io/openintro-org-on-why-introductory-textbooks-are-so-expensive/</link><pubDate>Mon, 20 Oct 2014 11:14:57 -0700</pubDate><guid>https://datasciencela.github.io/openintro-org-on-why-introductory-textbooks-are-so-expensive/</guid><description>&lt;p&gt;&lt;em&gt;David Diez works on the &lt;a href="http://www.openintro.org/about.php"&gt;OpenIntro team&lt;/a&gt;, which develops open-source textbooks, statistical software labs, and other course resources for intro-level statistics. This video above is the talk he gave at &lt;a href="http://user2014.stat.ucla.edu/"&gt;useR! 2014&lt;/a&gt; entitled “Textbooks fail where Software Succeeds” in which he outlines the challenges unique to open-source textbooks, the state of OpenIntro, and how people can get involved. Below, he discusses these challenges further and offers his thoughts around their solutions.&lt;/em&gt;&lt;/p&gt;</description></item></channel></rss>