<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Creative Research | CRiSS-LAB</title><link>https://criss-lab.com/category/creative-research/</link><atom:link href="https://criss-lab.com/category/creative-research/index.xml" rel="self" type="application/rss+xml"/><description>Creative Research</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sat, 30 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://criss-lab.com/media/sharing.png</url><title>Creative Research</title><link>https://criss-lab.com/category/creative-research/</link></image><item><title>Meisner, interaction, and embodied communication</title><link>https://criss-lab.com/projects/meisner/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://criss-lab.com/projects/meisner/</guid><description>&lt;p>This project connects the Meisner technique with CRiSS-LAB&amp;rsquo;s work on interaction, attention, reciprocity, and social behavior. The goal is to use actor-training exercises as a structured setting for observing how people listen, respond, coordinate, and adapt in real time.&lt;/p>
&lt;p>The project opens a bridge between computational social science and embodied communication. It can inform teaching, leadership training, teamwork, human-AI interaction, and new ways of studying social signals beyond surveys and static behavioral records.&lt;/p></description></item><item><title>MúsicaCL: computational music, culture, and networks</title><link>https://criss-lab.com/projects/musicacl/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://criss-lab.com/projects/musicacl/</guid><description>&lt;p>MúsicaCL is a creative research line at the intersection of music, data, and culture. The project explores how Chilean musical scenes, repertoires, collaborations, influences, and audiences can be studied with computational social science methods.&lt;/p>
&lt;p>The project connects cultural analytics, network science, natural language processing, recommendation systems, and AI-assisted tools for discovering structure in musical catalogs and scenes. It also creates a bridge between CRiSS-LAB research on collective memory, cultural attention, and creative ecosystems.&lt;/p></description></item></channel></rss>