<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Book Chapters | CRiSS-LAB</title><link>https://criss-lab.com/tag/book-chapters/</link><atom:link href="https://criss-lab.com/tag/book-chapters/index.xml" rel="self" type="application/rss+xml"/><description>Book Chapters</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>Book Chapters</title><link>https://criss-lab.com/tag/book-chapters/</link></image><item><title>Collective memory across books, chapters, and data</title><link>https://criss-lab.com/blog/collective-memory-book-chapters/</link><pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate><guid>https://criss-lab.com/blog/collective-memory-book-chapters/</guid><description>&lt;p>Collective memory research is moving across disciplines: cognitive science, sociology, media studies, history, network science, and data science all ask how societies remember and forget.&lt;/p>
&lt;p>The recent chapters on the dynamics of collective memory and attention translate CRiSS-LAB&amp;rsquo;s quantitative work into broader conversations about memory research. The computational angle is simple: attention leaves traces. Wikipedia views, citations, media records, cultural consumption, and digital archives can be used to study how memories persist, decay, and become institutionalized.&lt;/p>
&lt;p>The challenge is to connect scale with meaning. Large datasets show temporal patterns, but theory helps explain what those patterns represent: communicative memory, cultural memory, forgetting, persistence, and the social mechanisms that keep some ideas alive.&lt;/p></description></item></channel></rss>