deploy: cb7ed24

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@@ -145,14 +145,14 @@ <h2>Latest</h2>
 <ul>
 <li><a href=/talk/deploying-complex-crowdsourcing-tasks-without-fear-an-introduction-to-crowd_frame/>Deploying Complex Crowdsourcing Tasks Without Fear: An Introduction to Crowd_Frame</a></li>
 <li><a href=/publication/conference-paper-misdoom-2024/>Crowdsourcing Statement Classification to Enhance Information Quality Prediction</a></li>
-<li><a href=/post/social-computing-2024_2025/>Social Computing - 2024/2025</a></li>
 <li><a href=/publication/journal-paper-tsc-2024/>Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms</a></li>
 <li><a href=/publication/journal-paper-ipm-2024-2/>Crowdsourced Fact-checking: Does It Actually Work?</a></li>
 <li><a href=/publication/journal-paper-ipm-2024/>Cognitive Biases in Fact-Checking and Their Countermeasures: A Review</a></li>
 <li><a href=/talk/towards-a-conversational-based-agent-for-healthcare/>Towards a Conversational-Based Agent for Healthcare</a></li>
-<li><a href=/post/social-computing-2023_2024/>Social Computing - 2023/2024</a></li>
 <li><a href=/publication/workshop-paper-ital-ia-2023/>Towards a Conversational-Based Agent for Health Services</a></li>
 <li><a href=/publication/workshop-paper-iir-2023/>Fact-Checking at Scale with Crowdsourcing Experiments and Lessons Learned</a></li>
+<li><a href=/talk/towards-a-conversational-based-agent-for-health-services/>Towards a Conversational-Based Agent for Health Services</a></li>
+<li><a href=/publication/journal-paper-tois-2023/>How Many Crowd Workers Do I Need? On Statistical Power When Crowdsourcing Relevance Judgments</a></li>
 </ul>
 </div>
 </div>

category/teaching/index.html

@@ -142,39 +142,9 @@ <h1>teaching</h1>
 </div>
 <div class=universal-wrapper>
 <div>
-<h2><a href=/post/>Social Computing - 2022/2023</a></h2>
+<h2><a href=/post/social-computing_2020-2024/>Social Computing (2020/2021-2024/2025)</a></h2>
 <div class=article-style>
-Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2022/2023. Lectures: 2. Hours: 4
-</div>
-</div>
-<div>
-<h2><a href=/post/social-computing-2024_2025/>Social Computing - 2024/2025</a></h2>
-<div class=article-style>
-Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2022/2024. Lectures: 1. Hours: 2
-</div>
-</div>
-<div>
-<h2><a href=/post/social-computing-2023_2024/>Social Computing - 2023/2024</a></h2>
-<div class=article-style>
-Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2022/2024. Lectures: 2. Hours: 4
-</div>
-</div>
-<div>
-<h2><a href=/post/social-computing-2022_2023/>Social Computing - 2022/2023</a></h2>
-<div class=article-style>
-Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2022/2023. Lectures: 2. Hours: 4
-</div>
-</div>
-<div>
-<h2><a href=/post/social-computing-2021_2022/>Social Computing - 2021/2022</a></h2>
-<div class=article-style>
-Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2021/2022. Lectures: 6. Hours: 12
-</div>
-</div>
-<div>
-<h2><a href=/post/social-computing-2020_2021/>Social Computing - 2020/2021</a></h2>
-<div class=article-style>
-Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Year 2020/2021. Lectures: 6. Hours: 12
+Bachelor's Degree in Internet of Things, Big Data & Web at the University of Udine. Academic Years 2020/2021 - 2024/2025
 </div>
 </div>
 </div>

category/teaching/index.xml

@@ -1,78 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>teaching | Michael Soprano</title><link>https://michaelsoprano.com/category/teaching/</link><atom:link href="https://michaelsoprano.com/category/teaching/index.xml" rel="self" type="application/rss+xml"/><description>teaching</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sun, 18 Aug 2024 11:00:00 +0000</lastBuildDate><image><url>https://michaelsoprano.com/media/icon_hu4525676fb5a133c3f276d8a3d210c954_1943161_512x512_fill_lanczos_center_3.png</url><title>teaching</title><link>https://michaelsoprano.com/category/teaching/</link></image><item><title>Social Computing - 2024/2025</title><link>https://michaelsoprano.com/post/social-computing-2024_2025/</link><pubDate>Wed, 10 Jul 2024 11:00:00 +0000</pubDate><guid>https://michaelsoprano.com/post/social-computing-2024_2025/</guid><description>&lt;h2 id="teachers">Teachers&lt;/h2>
-&lt;ul>
-&lt;li>&lt;a href="https://users.dimi.uniud.it/~stefano.mizzaro/" title="Stefano Mizzaro" target="_blank" rel="noopener">Stefano Mizzaro&lt;/a> - Theory&lt;/li>
-&lt;li>&lt;strong>Hafska Akebli&lt;/strong> - Laboratory (Part 1-2)&lt;/li>
-&lt;li>&lt;strong>Michele Lizzit&lt;/strong> - Laboratory (Part 1-2)&lt;/li>
-&lt;li>&lt;strong>Michael Soprano&lt;/strong> - Laboratory (Part 2)&lt;/li>
-&lt;/ul>
-&lt;h2 id="aims">Aims&lt;/h2>
-&lt;p>The aim of the course is to provide students with foundational knowledge and practical skills in the area of social informatics. The course discusses both the so-called social media (Facebook,
-Twitter, etc.) and the crowdsourcing phenomenon.&lt;/p>
-&lt;p>In the first case, social behavior is supported by computational systems; in the second case, computational systems are supported by social behavior. The course addresses conceptual topics,
-theoretical foundations, and practical applications.&lt;/p>
-&lt;h2 id="table-of-contents">Table of contents&lt;/h2>
-&lt;p>I contributed to the course by providing a lecture on Crowd_Frame, a framework I developed for the design and deployment of crowdsourcing tasks (2 hours). Additionally, I provided the students with
-their second course assignment. The course is conducted in Italian.&lt;/p></description></item><item><title>Social Computing - 2023/2024</title><link>https://michaelsoprano.com/post/social-computing-2023_2024/</link><pubDate>Tue, 10 Oct 2023 11:00:00 +0000</pubDate><guid>https://michaelsoprano.com/post/social-computing-2023_2024/</guid><description>&lt;h2 id="teachers">Teachers&lt;/h2>
-&lt;ul>
-&lt;li>&lt;a href="https://users.dimi.uniud.it/~stefano.mizzaro/" title="Stefano Mizzaro" target="_blank" rel="noopener">Stefano Mizzaro&lt;/a> - Theory&lt;/li>
-&lt;li>&lt;strong>David La Barbera&lt;/strong> - Laboratory (Part 1)&lt;/li>
-&lt;li>&lt;strong>Michael Soprano&lt;/strong> - Laboratory (Part 2)&lt;/li>
-&lt;/ul>
-&lt;h2 id="aims">Aims&lt;/h2>
-&lt;p>The aim of the course is to provide students with foundational knowledge and practical skills in the area of social informatics. The course discusses both the so-called social media (Facebook,
-Twitter, etc.) and the crowdsourcing phenomenon.&lt;/p>
-&lt;p>In the first case, social behavior is supported by computational systems; in the second case, computational systems are supported by social behavior. The course addresses conceptual topics,
-theoretical foundations, and practical applications.&lt;/p>
-&lt;h2 id="table-of-contents">Table of contents&lt;/h2>
-&lt;p>I contributed to the course by providing two lectures on Crowd_Frame, a framework I developed for the design and deployment of crowdsourcing tasks (4 hours). Additionally, I provided the students with
-their second course assignment. The course is conducted in Italian.&lt;/p>
-&lt;ul>
-&lt;li>&lt;strong>Lesson 4-5&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/4rmiryatmpzhyrcmejuyb/SC_MS_4_Crowd_Frame.pptx?rlkey=1cd5jhx1n2fi491qvkagau3un&amp;amp;dl=0" target="_blank" rel="noopener">Crowd_Frame&lt;/a>&lt;/li>
-&lt;/ul></description></item><item><title>Social Computing - 2022/2023</title><link>https://michaelsoprano.com/post/social-computing-2022_2023/</link><pubDate>Mon, 10 Oct 2022 11:00:00 +0000</pubDate><guid>https://michaelsoprano.com/post/social-computing-2022_2023/</guid><description>&lt;h2 id="teachers">Teachers&lt;/h2>
-&lt;ul>
-&lt;li>&lt;a href="https://users.dimi.uniud.it/~stefano.mizzaro/" title="Stefano Mizzaro" target="_blank" rel="noopener">Stefano Mizzaro&lt;/a> - Theory&lt;/li>
-&lt;li>&lt;strong>David La Barbera&lt;/strong> - Laboratory (Part 1)&lt;/li>
-&lt;li>&lt;strong>Michael Soprano&lt;/strong> - Laboratory (Part 2)&lt;/li>
-&lt;/ul>
-&lt;h2 id="aims">Aims&lt;/h2>
-&lt;p>The aim of the course is to provide students with foundational knowledge and practical skills in the area of social informatics. The course discusses both the so-called social media (Facebook,
-Twitter, etc.) and the crowdsourcing phenomenon.&lt;/p>
-&lt;p>In the first case, social behavior is supported by computational systems; in the second case, computational systems are supported by social behavior. The course addresses conceptual topics,
-theoretical foundations, and practical applications.&lt;/p>
-&lt;h2 id="table-of-contents">Table of contents&lt;/h2>
-&lt;p>I contributed to the course by providing two lectures on Crowd_Frame, a framework I developed for the design and deployment of crowdsourcing tasks (4 hours). Additionally, I provided the students with
-their second course assignment. The course is conducted in Italian.&lt;/p>
-&lt;ul>
-&lt;li>&lt;strong>Lesson 4-5&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/ez7aanl9b9vn4m6zt6ckw/22-23.Crowd_Frame.pdf?rlkey=95kkc3nrf9ejy6r17s5i44y7w&amp;amp;st=b24tubx6&amp;amp;dl=0" target="_blank" rel="noopener">Crowd_Frame&lt;/a>&lt;/li>
-&lt;/ul></description></item><item><title>Social Computing - 2021/2022</title><link>https://michaelsoprano.com/post/social-computing-2021_2022/</link><pubDate>Sun, 10 Oct 2021 11:00:00 +0000</pubDate><guid>https://michaelsoprano.com/post/social-computing-2021_2022/</guid><description>&lt;h2 id="teachers">Teachers&lt;/h2>
-&lt;ul>
-&lt;li>&lt;a href="https://users.dimi.uniud.it/~stefano.mizzaro/" title="Stefano Mizzaro" target="_blank" rel="noopener">Stefano Mizzaro&lt;/a> - Theory&lt;/li>
-&lt;li>&lt;strong>Michael Soprano&lt;/strong> - Laboratory&lt;/li>
-&lt;/ul>
-&lt;h2 id="aims">Aims&lt;/h2>
-&lt;p>The aim of the course is to provide students with foundational knowledge and practical skills in the area of social informatics. The course discusses both the so-called social media (Facebook, Twitter, etc.) and the crowdsourcing phenomenon.&lt;/p>
-&lt;p>In the first case, social behavior is supported by computational systems; in the second case, computational systems are supported by social behavior. The course addresses conceptual topics, theoretical foundations, and practical applications.&lt;/p>
-&lt;h2 id="table-of-contents">Table of contents&lt;/h2>
-&lt;p>I contributed to the course by teaching the practical applications of the concepts outlined by Professor Stefano Mizzaro in a total of six lectures (12 hours). Additionally, I assigned course assignments to the students. The course is conducted in Italian.&lt;/p>
-&lt;ul>
-&lt;li>&lt;strong>Lesson 1&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/az4z8x0zu3ysajpjsfs0h/SC_MS_1_Python_Rest_Richiami.pptx?rlkey=ozxl5bwwpp56wjgp3ty01v7tf&amp;amp;dl=0" target="_blank" rel="noopener">Python / Rest: Richiami&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 2&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/xrtha37m67zob5k7sresz/SC_MS_2-Twitter_API_Tweepy.pptx?rlkey=i54k7eha11f59ies21pyn9u16&amp;amp;dl=0" target="_blank" rel="noopener">Twitter API: Tweepy&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 3&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/93umif7xa71woszewr5zo/SC_MS_3-EndpointV2_Req.pptx?rlkey=zp1vux6vjp1x6xc7evip6l0d4&amp;amp;dl=0" target="_blank" rel="noopener">Twitter API: Endpoint V2&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 4&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/d22udpapqnitwuc32ban4/SC_MS_4_Grafi_NetworkX.pptx?rlkey=3r949h14dqxsnzwoffprdgaz7&amp;amp;dl=0" target="_blank" rel="noopener">Grafi: NetworkX&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 5-6&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/tmgtqxt3ihnvtgj5r0150/SC_MS_5_Crowd_Frame.pptx?rlkey=prdahfpu3u0y7k48dzi2mc1fk&amp;amp;dl=0" target="_blank" rel="noopener">Crowd_Frame&lt;/a>&lt;/li>
-&lt;/ul></description></item><item><title>Social Computing - 2020/2021</title><link>https://michaelsoprano.com/post/social-computing-2020_2021/</link><pubDate>Sat, 10 Oct 2020 11:00:00 +0000</pubDate><guid>https://michaelsoprano.com/post/social-computing-2020_2021/</guid><description>&lt;h2 id="teachers">Teachers&lt;/h2>
-&lt;ul>
-&lt;li>&lt;a href="https://users.dimi.uniud.it/~stefano.mizzaro/" title="Stefano Mizzaro" target="_blank" rel="noopener">Stefano Mizzaro&lt;/a> - Theory&lt;/li>
-&lt;li>&lt;strong>Michael Soprano&lt;/strong> - Laboratory&lt;/li>
-&lt;/ul>
-&lt;h2 id="aims">Aims&lt;/h2>
-&lt;p>The aim of the course is to provide students with foundational knowledge and practical skills in the area of social informatics. The course discusses both the so-called social media (Facebook, Twitter, etc.) and the crowdsourcing phenomenon.&lt;/p>
-&lt;p>In the first case, social behavior is supported by computational systems; in the second case, computational systems are supported by social behavior. The course addresses conceptual topics, theoretical foundations, and practical applications.&lt;/p>
-&lt;h2 id="table-of-contents">Table of contents&lt;/h2>
-&lt;p>I contributed to the course by teaching the practical applications of the concepts outlined by Professor Stefano Mizzaro in a total of six lectures (12 hours). Additionally, I assigned course assignments to the students. The course is conducted in Italian.&lt;/p>
-&lt;ul>
-&lt;li>&lt;strong>Lesson 1&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/xpq3b6zhzf3zpczqkwn9g/SC_MS_1_Twitter_API_Intro_Ric.pptx?rlkey=trdwm6yxgohyktj79c0bu3xsx&amp;amp;dl=0" target="_blank" rel="noopener">Twitter API: Introduzione &amp;amp; Richiami&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 2-3&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/rtdvumim9mzuihlu3zlxu/SC_MS_2-Twitter_API_Tweepy_Req.pptx?rlkey=t7rms0spo58a612oniuda1vey&amp;amp;dl=0" target="_blank" rel="noopener">Twitter API: Tweepy &amp;amp; Requests&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 4&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/0e8iz71e45mxix4cmxiam/SC_MS_3_Grafi_NetworkX.pptx?rlkey=ab76koii4j1we6zpwatihhh10&amp;amp;dl=0" target="_blank" rel="noopener">Grafi: NetworkX&lt;/a>&lt;/li>
-&lt;li>&lt;strong>Lesson 4-5&lt;/strong>: &lt;a href="https://www.dropbox.com/scl/fi/56egim1ixzm1bm4tn988x/SC_MS_4_Crowd_Frame.pptx?rlkey=yl0z8mqxb6q6n4u1h2etfuz5e&amp;amp;dl=0" target="_blank" rel="noopener">Crowd_Frame: How To&lt;/a>&lt;/li>
-&lt;/ul></description></item></channel></rss>
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