<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Regional Networks | Junyao He | Academic Portfolio</title><link>https://junyaohe001.github.io/tags/regional-networks/</link><atom:link href="https://junyaohe001.github.io/tags/regional-networks/index.xml" rel="self" type="application/rss+xml"/><description>Regional Networks</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 06 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://junyaohe001.github.io/media/icon_hu14599980757415029838.png</url><title>Regional Networks</title><link>https://junyaohe001.github.io/tags/regional-networks/</link></image><item><title>Measuring AI-Related Cooperation, Competition, and Innovation across Global Subnational Regions Using News Text</title><link>https://junyaohe001.github.io/working-papers/ai-regional-networks/</link><pubDate>Tue, 06 Jan 2026 00:00:00 +0000</pubDate><guid>https://junyaohe001.github.io/working-papers/ai-regional-networks/</guid><description>&lt;p>&lt;strong>Status:&lt;/strong> In preparation&lt;/p>
&lt;p>This project develops a GeoAI-based framework for measuring AI-related cooperation, competition, and innovation across global subnational regions using large-scale news data. It connects relational measures of technological activity with debates in economic geography, urban AI, and regional development.&lt;/p></description></item></channel></rss>