Register here to attend in person. Co-sponsored by the Department of Computer Science and the Department of Electrical and Computer Engineering The Arbitrum blockchain protocol started as a Princeton University research project, and has grown into a robust community hosting hundred of applications and over 600,000 monthly users. Along the way, the system has evolved through at least three generations to meet the needs of developers and users. This talk will provide a technical description of how Arbitrum works, as an example of a modern blockchain protocol, along with a perspective on the history and future of blockchain technology. Bio: Ed Felten is the co-founder and chief scientist at Offchain Labs, Inc. He is the Robert E. Kahn Professor Emeritus of Computer Science and Public Affairs and the Founding Director of the Center for Information Technology Policy. Felten officially retired from Princeton University and transferred to emeritus status on July 1, 2021 after 28 years on the
Does conversation online often lead to deeper understanding of important issues? In this talk, research will be presented in the School of Interactive Computing at Georgia Tech about understanding and supporting online discussion of difficult issues. In the first study, we interviewed people who had disagreements with others on Facebook. We find that conflict often results not from disagreement but from violation of expectations. Design recommendations for social media platforms will be presented that could help mitigate disagreements, and ideas to help people have productive, hard conversations. In the second study, we interviewed people who discuss guns and gun policy on Reddit, from both a pro- and anti- gun perspective. We find that members of pro- and anti- gun groups rarely interact. However, many people who post to highly partisan groups admit to actually holding more moderate views on some issues. Unfortunately, they would not feel comfortable posting about moderate views for
Please register here to attend in person. In collaboration with the Department of Computer Science and the Department of Electrical and Computer Engineering Online platforms have a wealth of data, run countless experiments and use industrial-scale algorithms to optimize user experience. Despite this, many users seem to regret the time they spend on these platforms. One possible explanation is that incentives are misaligned: platforms are not optimizing for user happiness. We suggest the problem runs deeper, transcending the specific incentives of any particular platform, and instead stems from a mistaken foundational assumption. To understand what users want, platforms look at what users do. This is a kind of revealed-preference assumption that is ubiquitous in user models. Yet research has demonstrated, and personal experience affirms, that we often make choices in the moment that are inconsistent with what we actually want: we can choose mindlessly or myopically, behaviors that feel
In their unrelenting quest for lower latency, cloud providers are deploying servers closer to their customers and enterprises are adopting paid Network-as-a-Service (NaaS) offerings with performance guarantees. Unfortunately, these trends contribute to greater industry consolidation, benefiting larger companies and well-served regions while leaving little room for smaller cloud providers and enterprises to flourish. Instead, we argue that the public Internet could offer good enough performance if only edge networks could control wide-area routing. More concretely, we envision an incrementally deployable system, namely Tango, that allows individual pairs of edge networks (e.g., access, enterprise, and data-center networks) to optimize Internet paths between them without collaboration from the Internet core. Tango relies on the cooperation between the two edge networks to expose more wide-area paths, and achieve accurate and trustworthy monitoring. Tango has the potential to fight the in
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