talks

Download

talks@lists.cs.princeton.edu

March 2023

2 participants
22 discussions

CS Colloquium Speaker: Stephanie Wang TODAY at 12:30pm
by Emily C. Lawrence 01 Mar '23

01 Mar '23

CS Colloquium Speaker Speaker: Stephanie Wang, University of California, Berkeley Date: Wednesday, March 1 Time: 12:30pm EST Location: CS 105 Host: Wyatt Lloyd Event page: https://www.cs.princeton.edu/events/26342 Title: The Design of a General-Purpose Distributed Execution System Abstract: Scaling applications with distributed execution has become the norm. With the rise of big data and machine learning, more and more developers must build applications that involve complex and data-intensive distributed processing. In this talk, I will discuss the design of a general-purpose distributed execution system that can serve as a common platform for such applications. Such a system offers two key benefits: (1) common system functionality such as distributed resource management can be shared across different application domains, and (2) by building on the same platform, applications across domains can easily interoperate. First, I will introduce the distributed futures interface, a powerful yet expressive distributed programming abstraction for remote execution and memory. Second, I will introduce ownership, an architecture for distributed futures systems that simultaneously provides horizontal scalability, low latency, and fault tolerance. Finally, I will present Exoshuffle, a large-scale shuffle system that builds on distributed futures and ownership to match the speed and reliability of specialized data processing frameworks while using an order of magnitude less code. These works have reached a broad audience through Ray, an open-source distributed futures system for Python that has more than 23,000 GitHub stars and that has been used to train ChatGPT and to break the world record for CloudSort. Bio: Stephanie Wang is a final-year PhD student at UC Berkeley, advised by Professor Ion Stoica. She is interested in distributed systems, with current focus on problems in cloud computing and fault tolerance. She is a co-creator and committer of the popular open-source project Ray for distributed Python. Stephanie has received the UC Berkeley Chancellor’s Fellowship, a Distinguished Artifact Award at SOSP’19, and was selected for Rising Stars in EECS in 2021.

1 0

CITP Distinguished Lecture Series - Alessandro Acquisti, TODAY at 4:30pm
by Emily C. Lawrence 01 Mar '23

01 Mar '23

CITP Distinguished Lecture Series Speaker: Alessandro Acquisti Date: Wednesday, March 1 Time: 4:30 p.m. Location: Friend Center Convocation room Host: CITP Event page: [ https://citp.princeton.edu/event/citp-distinguished-lecture-acquisti/ | https://citp.princeton.edu/event/citp-distinguished-lecture-acquisti/ ] Title: Who Benefits from the Data Economy? Abstract: In the public debate around privacy and the data economy, several claims have been made concerning the benefits that multiple stakeholders may accrue from the collection and analysis of consumer data. How many of those claims are empirically validated by independent research? We will review prior work and present a series of ongoing studies that aim at understanding and estimating how the economic value extracted from consumer data is being allocated to different stakeholders, and the way privacy protection may influence those allocations. Bio: Alessandro Acquisti is the Trustees Professor of Information Technology and Public Policy at the Heinz College, Carnegie Mellon University. He is an Andrew Carnegie Fellow (inaugural class), the director of the PeeX (Privacy Economics Experiments) lab at CMU, a member of the steering committee of CMU’s Center for Behavioral and Decision Research (CBDR), and the Faculty Chair of the Heinz College’s Master of Science in Information Security Policy & Management (MISPM) program. He is the current Chair of CMU Institutional Review Board (IRB). Previously, for four years he was the Faculty Director of the CMU Digital Transformation and Innovation Center sponsored by PwC (where he managed a multi-million dollar budget to fund CMU research in areas including analytics, security, and public policy), and the PwC William W. Cooper Professor of Risk and Regulatory Innovation. He has been a member of the Board of Regents of the U.S. National Library of Medicine (NLM), and a member of the U.S. National Academies’ Committee on public response to alerts and warnings using social media. Acquisti investigates the economics and behavioral economics of privacy and personal data. While completing his Ph.D. thesis at UC Berkeley, he started contributing to the revival of the research on the economics of privacy. Upon joining Carnegie Mellon, he spearheaded the application of behavioral economics to the study of privacy and security decision making, and the investigation of privacy and disclosure behavior in online social media through the mining and analysis of public profile data. His research in these fields has kept evolving, including the investigation of nudging and behavioral interventions in the privacy domain, the study of value creation and surplus allocation in the data economy, and the examination of the economic impact of novel privacy-preserving analytics. He has published and disseminated interdisciplinary research in leading journals across diverse fields (including Science, Proceedings of the National Academy of Science, Management Science, Journal of Economic Literature, Journal of Consumer Research, Journal of Marketing Research, Marketing Science, Information Systems Research, ACM Transactions, and so forth), as well as through conference proceedings (including USENIX, CHI, CSCW, ACM EC, PETS, SOUPS, and so forth), edited books, and numerous keynotes. Acquisti has been the recipient of the PET Award for Outstanding Research in Privacy Enhancing Technologies, the IBM Best Academic Privacy Faculty Award, the IEEE Cybersecurity Award for Innovation, the Heinz College School of Information’s Teaching Excellence Award, and numerous Best Paper awards (including best papers awards across journals in the information technology and information systems fields such as Management Science, MISQ, and Information Systems Research). He has held editorial positions across several journals and conference committees, including Information Systems Research (Senior Editor) and Management Science (Associate Editor). His research has been supported by grants from the National Science Foundation, the MacArthur Foundation, the Sloan Foundation, DARPA, the Department of Homeland Security, the National Security Agency, the Transcoop Foundation, Microsoft, and Google. Security education research and tools he developed with colleagues at Carnegie Mellon University were deployed in the CMU start-up Wombat Security Technologies, Inc, which was later acquired by Proofpoint. He has testified before the U.S. Senate and House committees on issues related to privacy policy and consumer behavior, and has been frequently invited to consult on privacy policy issues by government bodies including the White House’s Office of Science and Technology Policy (OSTP) and the Council of Economic Advisers (CEA), the Federal Trade Commission (FTC), and the National Telecommunications and Information Administration (NTIA), and the European Commission. Acquisti’s findings have been featured in national and international media outlets, including the Economist, the New Yorker, the New York Times and New York Times Magazine, the Wall Street Journal, the Washington Post, the Financial Times, Wired.com, NPR, CNN, and 60 Minutes. His TED talks on privacy and human behavior have been viewed online over 1.5 million times. His 2009 study on the predictability of Social Security numbers was featured in the “Year in Ideas” issue of the NYT Magazine (the SSNs assignment scheme was changed by the US Social Security Administration in 2011). Connecting his research and musical interests, Alessandro has collaborated as technologist on an interactive musical opera on privacy and surveillance inspired by his own research on social media, face recognition, and inference of sensitive information from public data. The opera, titled “Looking at You,” premiered at New York West Village’s HERE in 2019, and was recently awarded a grant by the Sloan Foundation to go on tour across the United States in 2023. He holds a Ph.D. from UC Berkeley, and Master’s degrees from UC Berkeley, the London School of Economics, and Trinity College Dublin. He has held visiting positions at the Universities of Rome, Paris, and Freiburg (visiting professor); Harvard University (visiting scholar); University of Chicago (visiting fellow); Microsoft Research (visiting researcher); and Google (visiting scientist).

1 0