<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bente Christensen | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/bente-christensen/</link><atom:link href="https://gpap-project.github.io/author/bente-christensen/index.xml" rel="self" type="application/rss+xml"/><description>Bente Christensen</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 20 Sep 2022 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>Bente Christensen</title><link>https://gpap-project.github.io/author/bente-christensen/</link></image><item><title>Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study</title><link>https://gpap-project.github.io/publication/christensen-2022-quantifying/</link><pubDate>Tue, 20 Sep 2022 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/christensen-2022-quantifying/</guid><description/></item></channel></rss>