<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Christian Hotz-Behofsits</title><link>https://hotzbehofsits.com/</link><description>Recent content on Christian Hotz-Behofsits</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 Oct 2021 18:42:33 +0200</lastBuildDate><atom:link href="https://hotzbehofsits.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Imprint</title><link>https://hotzbehofsits.com/imprint/</link><pubDate>Fri, 01 Oct 2021 18:42:33 +0200</pubDate><guid>https://hotzbehofsits.com/imprint/</guid><description>&lt;h2 id="legal-disclosure"&gt;Legal Disclosure&lt;/h2&gt;
&lt;p&gt;Information in accordance with § 25 Mediengesetz&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Christian Hotz-Behofsits&lt;/em&gt; &lt;br&gt;
&lt;em&gt;Erdberger Lände 26/3/97&lt;/em&gt; &lt;br&gt;
&lt;em&gt;1030 Vienna&lt;/em&gt; &lt;br&gt;
&lt;em&gt;Austria&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;Phone: 43 (0) 1 31336 5680 &lt;br&gt;
Email: &lt;a href="mailto:chris.hotz.behofsits@gmail.com"&gt;chris.hotz.behofsits@gmail.com&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="disclaimer"&gt;Disclaimer&lt;/h2&gt;
&lt;p&gt;&lt;em&gt;Accountability for content&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;The contents of our pages have been created with the utmost care. However, we cannot guarantee the contents&amp;rsquo; accuracy, completeness or topicality. According to statutory provisions, I am furthermore responsible for my own content on these web pages. In this matter, please note that I am not obliged to monitor the transmitted or saved information of third parties, or investigate circumstances pointing to illegal activity. My obligations to remove or block the use of information under generally applicable laws remain unaffected by this.&lt;/p&gt;</description></item><item><title>Research</title><link>https://hotzbehofsits.com/research/</link><pubDate>Fri, 01 Oct 2021 18:42:33 +0200</pubDate><guid>https://hotzbehofsits.com/research/</guid><description>&lt;p&gt;My research lies at the intersection of machine learning and quantitative marketing. For example, I develop novel approaches to emotion detection and investigate emerging business models such as music streaming. Methodologically, I use machine learning techniques such as representation learning, causal inference, and traditional econometrics to analyze large-scale data. A recent example of my work is a Journal of Marketing publication on emoji-based emotion detection. In addition to my research, I serve as an ad-hoc reviewer for leading marketing journals, including the International Journal of Research in Marketing. I have also gained valuable international experience through research visits at Bocconi University (Milan), the University of New South Wales (Sydney), and the NYU Stern School of Business (New York).&lt;/p&gt;</description></item><item><title>Teaching</title><link>https://hotzbehofsits.com/teaching/</link><pubDate>Fri, 01 Oct 2021 18:42:33 +0200</pubDate><guid>https://hotzbehofsits.com/teaching/</guid><description>&lt;p&gt;Over the past few years, I have gained extensive teaching experience in fields such as quantitative marketing, data analysis, and computer science, both nationally (e.g., WU Vienna, University of Salzburg) and internationally (e.g., University of New South Wales in Australia, Thammasat Business School in Thailand, University of Economics HCMC in Vietnam, and Gadjah Mada University in Indonesia). I have also taught executive education courses at the WU Vienna Executive Academy and co-supervised numerous Bachelor’s and Master’s theses.&lt;/p&gt;</description></item></channel></rss>