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Feb 6, 2026
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Update index.html with talk details #83

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22 changes: 14 additions & 8 deletions stamina/index.html
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Expand Up @@ -93,8 +93,8 @@ <h5 style="text-align:center">Follow us on Twitter <a href="[TWITTER_LINK]">@sta
<h5 style="text-align:center">Follow us on Bluesky <a href="[BLUESKY_LINK]">@stamina_rg.bsky.social</a></h5>
<h5 style="text-align:center">Join our Slack: <a href="[SLACK_INVITE]">here</a></h5>
-->
<h5 style="text-align:center">Sign up to the mailing list to receive announcements about STAMINA activities: <a href="https://docs.google.com/forms/d/e/1FAIpQLSe2_x4mGANiUu0j6L9S5Wjk26Kk6q1vdQqsccaoM4Cfb-GMlg/viewform?usp=dialog" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/signup%20form-8A2BE2"></a></h5>
<h5 style="text-align:center">Suggest a speaker (yourself or others) to give a talk in our seminar series: <a href="https://docs.google.com/forms/d/e/1FAIpQLScNYXPRqVu7WRfRRcpOP2LwrdhRxumckq7uIuZ7J3HO7EdNKQ/viewform?usp=publish-editor" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/suggest%20form-8A2BE2"></a></h5>
<h5 style="text-align:center">Sign up to the mailing list to receive announcements about STAMINA talks and activities: <a href="https://docs.google.com/forms/d/e/1FAIpQLSe2_x4mGANiUu0j6L9S5Wjk26Kk6q1vdQqsccaoM4Cfb-GMlg/viewform?usp=dialog" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/signup%20form-8A2BE2"></a></h5>
<h5 style="text-align:center">Suggest a speaker (yourself or others) to give a talk in our seminar series Tuesdays at 11am ET: <a href="https://docs.google.com/forms/d/e/1FAIpQLScNYXPRqVu7WRfRRcpOP2LwrdhRxumckq7uIuZ7J3HO7EdNKQ/viewform?usp=publish-editor" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/suggest%20form-8A2BE2"></a></h5>
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Expand Down Expand Up @@ -157,27 +157,31 @@ <h3 style="text-align:center">Upcoming Talks</h3>
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<h4>[Date]</h4>
<h4>2026/02/17</h4>
<li>
<b><a href="[PAPER_LINK]">Paper Title</a></b>
<b><a href="https://arxiv.org/abs/2510.25003">Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations</a></b>
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Presenter: <u>Presenter Name</u>, Affiliation
Presenter: <u>Gian Marco Orlando, Jinyi Ye, Mahdi Saeedi</u>, University of Naples Federico II - University of Southern California (ISI)

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Gian Marco Orlando is currently a PhD Student at the University of Naples Federico II. He earned his Master’s Degree in Computer Engineering from the University of Naples Federico II, graduating with honors. His thesis highlights his expertise in the intersection of Artificial Intelligence and Social Network Analysis. His research interests lie in Social Network Analysis, Agent-Based Modeling and Big Data Analytics.
<br><br>
Jinyi is a second-year CS PhD student co-advised by Dr. Emilio Ferrara and Dr. Luca Luceri. Her research lies in the intersection of computer science and social science, recently focusing on large-scale agentic simulations of human behavior, measuring and modeling collective dynamics in social networks, and empirical studies on AI and the future of work.
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Mahdi Saeedi is currently exploring large-scale LLM simulations because he is fascinated by understanding how these models actually work under the hood. His background spans both the theoretical foundations and hands-on engineering of generative AI systems, which has been great preparation for this research. He have also spent time thinking about how people interact with AI through thoughtful interface design, since he believes making these tools intuitive and accessible is just as important as the underlying technology.
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<a href="[PAPER_LINK]"><img src="https://img.shields.io/badge/Paper-link-important"></a>
<a href="https://arxiv.org/abs/2510.25003"><img src="https://img.shields.io/badge/Paper-link-important"></a>
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Expand All @@ -187,7 +191,9 @@ <h4>[Date]</h4>
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Abstract text here...
Generative agents are rapidly advancing in sophistication, raising urgent questions about how they might coordinate when deployed in online ecosystems. This is particularly consequential in information operations (IOs), influence campaigns that aim to manipulate public opinion on social media. While traditional IOs have been orchestrated by human operators and relied on manually crafted tactics, agentic AI promises to make campaigns more automated, adaptive, and difficult to detect. This work presents the first systematic study of emergent coordination among generative agents in simulated IO campaigns. Using generative agent-based modeling, we instantiate IO and organic agents in a simulated environment and evaluate coordination across operational regimes, from simple goal alignment to team knowledge and collective decision-making. As operational regimes become more structured, IO networks become denser and more clustered, interactions more reciprocal and positive, narratives more homogeneous, amplification more synchronized, and hashtag adoption faster and more sustained.
Remarkably, simply revealing to agents which other agents share their goals can produce coordination levels nearly equivalent to those achieved through explicit deliberation and collective voting.
Overall, we show that generative agents, even without human guidance, can reproduce coordination strategies characteristic of real-world IOs, underscoring the societal risks posed by increasingly automated, self-organizing IOs.
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