<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>EPR on Marianne Caroline</title><link>https://mariannecaroline.com/tags/epr/</link><description>Recent content in EPR on Marianne Caroline</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 03 Nov 2026 03:06:58 +0000</lastBuildDate><atom:link href="https://mariannecaroline.com/tags/epr/index.xml" rel="self" type="application/rss+xml"/><item><title>Turning Secondhand Textile Records into Collective Evidence</title><link>https://mariannecaroline.com/articles/turning-secondhand-textile-records-into-collective-evidence/</link><pubDate>Tue, 03 Nov 2026 03:06:58 +0000</pubDate><guid>https://mariannecaroline.com/articles/turning-secondhand-textile-records-into-collective-evidence/</guid><description>&lt;p&gt;Independent collectors, sorters and exporters of secondhand textiles hold valuable information about the materials they handle and the jobs they support. Yet that information often sits in filing cabinets, spreadsheets and accounting systems, making it hard to present a unified picture of the sector&amp;rsquo;s economic and environmental contribution. Chris McLellan, speaking at the SMART 2026 Annual Convention in Montréal, argued that artificial intelligence could help bridge this gap by turning existing paperwork into comparable data.&lt;/p&gt;</description></item></channel></rss>