Resilience is a system’s ability to retain its basic functionality in the presence of stresses and failures. Despite widespread consequences, events leading to loss of resilience — such as cascading failures in technological systems or financial networks — are rarely predictable and often irreversible. This research initiative investigates how all manner of networks can structure themselves so they are more protected against collapse from within. The Warren Center brings together faculty affiliates from across the University to explore how to maximize the benefits of networks while minimizing the potential for real catastrophe. This includes a particular focus on increasing the resilience of a networked system to endogenous risks by increasing the resilience of the individual components, as well as anticipating how agents in the system will respond to these changes.
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Sebastian Angel
Raj and Neera Singh Term Assistant Professor of Computer and Information Science
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Benjamin C. Lee
Professor of Computer and Information Science and Electrical and Systems Engineering
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Rakesh Vohra
Founding Director of The Warren Center; Penn Integrates Knowledge University Professor; George A. Weiss and Lydia Bravo Weiss University Professor of Economics and Electrical and Systems Engineering
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Christopher Yoo
John H. Chestnut Professor of Law, Communication, and Computer & Information Science
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Virtual
University of Pennsylvania’s Center for Technology, Innovation & Competition and Warren Center for Network & Data Sciences are pleased to invite you to join the Third Economics of Digital Services Research Symposium being held virtually on September 8, 2023.
PCPSE 625, 133 S 36th St, Philadelphia, PA 19104
This workshop hosted by the Warren Center for Network and Data Sciences brings together experts in networks in finance for a day of talks.
In-person on Penn Campus and via Zoom
EODS II will focus on the research projects awarded grants by CTIC and the Warren Center. The research covers value of data and privacy protection, context in children’s programming, algorithmic pricing software on Amazon, and the role of digital advertisers in mitigating misinformation.
