<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Academia-Industry Collaboration | Dylan Chiang</title><link>https://dylanchiang-dev.github.io/en/tags/academia-industry-collaboration/</link><atom:link href="https://dylanchiang-dev.github.io/en/tags/academia-industry-collaboration/index.xml" rel="self" type="application/rss+xml"/><description>Academia-Industry Collaboration</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-US</language><lastBuildDate>Fri, 11 Sep 2026 13:30:00 +0800</lastBuildDate><image><url>https://dylanchiang-dev.github.io/media/icon_hu_982c5d63a71b2961.png</url><title>Academia-Industry Collaboration</title><link>https://dylanchiang-dev.github.io/en/tags/academia-industry-collaboration/</link></image><item><title>Chuangzhi Frontier Workshop: Generative Agents Driving Social Intelligence: From Academia to Industry</title><link>https://dylanchiang-dev.github.io/en/event/chuangzhi-frontier-workshop-20260911/</link><pubDate>Fri, 11 Sep 2026 13:30:00 +0800</pubDate><guid>https://dylanchiang-dev.github.io/en/event/chuangzhi-frontier-workshop-20260911/</guid><description>&lt;h2 id="workshop-overview">Workshop Overview&lt;/h2>
&lt;p>On September 11, 2026, I attended the Chuangzhi Frontier Workshop, “Generative Agents Driving Social Intelligence: From Academia to Industry,” at the Shanghai Innovation Institute. The workshop brought together researchers and industry practitioners to explore large-scale agent simulation, human behavior modeling, social governance, and business decision-making, and to examine how large models can support research and applications across the social sciences.&lt;/p>
&lt;h2 id="event-information">Event Information&lt;/h2>
&lt;ul>
&lt;li>&lt;strong>Time:&lt;/strong> September 11, 2026, 1:30–4:30 PM&lt;/li>
&lt;li>&lt;strong>Venue:&lt;/strong> Shanghai Innovation Institute, Room 1001&lt;/li>
&lt;li>&lt;strong>Forum chair:&lt;/strong> Wei Zhongyu, Full-time Mentor at the Shanghai Innovation Institute and Professor at Fudan University&lt;/li>
&lt;li>&lt;strong>Strategic partner:&lt;/strong> SPD BANK&lt;/li>
&lt;/ul>
&lt;h2 id="program">Program&lt;/h2>
&lt;h3 id="130150-pm">1:30–1:50 PM&lt;/h3>
&lt;p>&lt;strong>An Initial Exploration of Social Simulation with Large Models&lt;/strong>&lt;br>
Han Xianpei, Researcher at the Institute of Software, Chinese Academy of Sciences, and Deputy Director of the Laboratory of Chinese Information Processing&lt;/p>
&lt;h3 id="150210-pm">1:50–2:10 PM&lt;/h3>
&lt;p>&lt;strong>Large-Model Diplomatic Agents&lt;/strong>&lt;br>
Feng Yansong, Associate Professor at the Wangxuan Institute of Computer Technology, Peking University&lt;/p>
&lt;h3 id="210230-pm">2:10–2:30 PM&lt;/h3>
&lt;p>&lt;strong>Yulan Wanxiang: A No-Code Large-Model Social Simulator&lt;/strong>&lt;br>
Chen Xu, Associate Professor at the Gaoling School of Artificial Intelligence, Renmin University of China&lt;/p>
&lt;h3 id="230250-pm">2:30–2:50 PM&lt;/h3>
&lt;p>&lt;strong>Humanities Intelligence: Large-Model-Driven Visual Analysis and Storytelling&lt;/strong>&lt;br>
Chen Siming, Young Researcher at the School of Data Science, Fudan University&lt;/p>
&lt;h3 id="250310-pm">2:50–3:10 PM&lt;/h3>
&lt;p>&lt;strong>AI Social Simulators: Leading a New Paradigm for Social Research&lt;/strong>&lt;br>
Gao Yan, Researcher at Beijing Zhongguancun Academy&lt;/p>
&lt;h3 id="310320-pm">3:10–3:20 PM&lt;/h3>
&lt;p>&lt;strong>Break&lt;/strong>&lt;/p>
&lt;h3 id="320330-pm">3:20–3:30 PM&lt;/h3>
&lt;p>&lt;strong>The Microfoundations of Social Simulation: What Can In-Depth Interviews Add?&lt;/strong>&lt;br>
Sun Hao, Co-founder and CTO of Trooly.AI&lt;/p>
&lt;h3 id="330340-pm">3:30–3:40 PM&lt;/h3>
&lt;p>&lt;strong>Applications of Consumer Digital Twins in Marketing Decision-Making&lt;/strong>&lt;br>
Zhang Yunxian, Research Director at IPSOS AI Lab&lt;/p>
&lt;h3 id="340430-pm">3:40–4:30 PM&lt;/h3>
&lt;p>&lt;strong>Roundtable: Toward Generative Social Intelligence: Frontier Exploration and Future Directions&lt;/strong>&lt;/p></description></item></channel></rss>