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Event

Corey Toler-Franklin on AI and Social Change

Date and Time
Tuesday, February 27, 2024 - 3:00pm to 4:00pm
Location
Friend Center Convocation Room
Type
Event
Host
SEAS

Corey Toler-Franklin is an Assistant Professor in the Computer Science Department at Barnard CollegeColumbia University where she directs the Graphics, Imaging & Light Measurement Laboratory. She obtained a Ph.D. in computer science from Princeton University, an M.S. degree from the Cornell University Program of Computer Graphics, and a B. Arch. degree from the Cornell University College of Architecture, Art, and Planning. She also holds affiliate positions at the American Museum of Natural History and the Florida Museum of Natural History.

Prior to joining the faculty at Barnard College, Columbia University, Toler-Franklin was an assistant professor of computer science at the University of Florida. Toler-Franklin was a UC President’s Postdoctoral Fellow at UC Davis and a research affiliate at the UC BerkeleyCITRIS Banatao Institute. She has also held industry positions at AutodeskAdobe and Google.

Princeton University Public Lecture Series - The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI

Date and Time
Wednesday, November 29, 2023 - 6:00pm to 7:15pm
Location
McCosh Hall 50
Type
Event

Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She also holds a Doctorate Degree (Honorary) from Harvey Mudd College. Dr. Li joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).

Dr. Li’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 300 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, Nature Digital Medicine, etc. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education.

Dr. Li has been working with policymakers nationally and locally to ensure the responsible use of technologies, including a congressional testimony on the responsibility of AI in 2018, her service as a member of the California Future of Work Commission for the Governor of California in 2019 - 2020, and a member of the National Artificial Intelligence Research Resource Task Force (NAIRR) for the White House Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF) in 2021-2022.

Event poster

Visit the Princeton University Public Lecture Series event page for full details.

Free copies of Dr. Li's book, The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI, will be handed out to the first 300 in-person attendees.

Sponsored by Labyrinth Books and the Department of Computer Science.

AI@Princeton: Launch event for Princeton Language and Intelligence

Date and Time
Tuesday, September 26, 2023 - 3:00pm to 6:00pm
Location
McCosh Hall 50
Type
Event

After introductory remarks by Princeton University Provost Jennifer Rexford, over a dozen faculty associated with PLI will present short talks around the following themes: “How Large AI Models Work,” “Societal Impacts of AI,” and “AI for Research: Applications Across Disciplines.”


In-person attendance limited to PU ID holders.  REGISTER HERE

Everyone is welcome to watch the live stream

DeCenter Seminar: An Overview of Mechanism Design for Blockchain Applications

Date and Time
Wednesday, September 20, 2023 - 4:30pm to 5:30pm
Location
Friend Center Convocation Room
Type
Event
Speaker
Matt Weinberg, from Princeton University
Host

Please register here.


Blockchains rely on an underlying consensus protocol to ensure consistency of their ledger. Classically, these protocols are proven secure assuming that an attacker controls at most (say) 33% of the network, and the remaining portion of the network honestly follows the protocol. This analysis is necessary but overlooks an important aspect: participants earn rewards by participating, and all participants, honest or not, will happily deviate from the protocol if it yields greater rewards. In this talk, I’ll overview several challenges to designing consensus protocols that correctly incentivize participants to follow them. This talk will not assume any particular technical background, although it will have technical content.

Bio: Matt Weinberg is an Associate Professor of Computer Science at Princeton University. His primary research interest is in algorithmic mechanism design: algorithm design in settings where users have their own incentives. He is also interested more broadly in algorithmic game theory, algorithms under uncertainty, and theoretical computer science in general. Before joining the faculty at Princeton, Weinberg spent two years as a postdoc in Princeton’s CS theory group and was a research fellow at the Simons Institute during the Fall 2015 (economics and computation) and Fall 2016 (algorithms and uncertainty) semesters. He completed his PhD in 2014 at MIT, where he was advised by Costis Daskalakis. Prior to that, he graduated from Cornell University with a BA in Math in 2010, where he worked with Bobby Kleinberg.


If you need an accommodation for a disability, please contact decenter@princeton.edu at least one week before the event.

Yushan Su FPO

Date and Time
Wednesday, May 10, 2023 - 10:00am to 12:00pm
Location
Not yet determined.
Type
Event

details to follow

DeCenter Spring Conference

Date and Time
Thursday, April 13, 2023 - 8:30am to 6:30pm
Location
Andlinger Center Maeder Hall
Type
Event
Host
Jaswinder Pal Singh, DeCenter

The DeCenter Spring Conference takes a deep dive into use cases for blockchain technologies and their societal and ethical implications. The conference will convene a wide range of experts – computer scientists, engineers, economists, political scientists, ethicists, human rights advocates, regulators, politicians, and industry, ecosystem, and startup leaders.

Learn more and register for the conference on the DeCenter website

Princeton Research Day: 2021

Date and Time
Thursday, May 6, 2021 - 4:00pm to 5:30pm
Location
Online (off campus)
Type
Event

Graphic for Princeton Research Day with the event website at the bottem

Princeton Research Day is an exciting opportunity for Princeton researchers and scholars — from postdocs and non-tenured scholars to graduate students and undergraduates — to showcase their research and creative work for a broad audience. 

This year, PRD will be held entirely online. Presenters will create a 3-minute video and submit it March 31 - April 28. All videos will be displayed online and the top videos will appear at PRD Mainstage, an online celebration May 6 from 4 pm to 5:30 pm.

Visit researchday.princeton.edu to sign up to present your research or creative work, volunteer to be a judge, or attend PRD Mainstage on May 6. 

Forward Fest: Thinking Forward Bioengineering

Date and Time
Thursday, March 18, 2021 - 3:30pm to 4:45pm
Location
Webinar (off campus)
Type
Event

Forward Fest is a monthly online series that continues throughout A Year of Forward Thinking. The event features Princeton faculty and alumni exploring a range of forward-thinking topics. Sparking dialogue among the entire Princeton community — students, faculty, staff, alumni and other interested thinkers — Forward Fest explores, engages and develops bold thinking for the future.


Thinking Forward Bioengineering

At the intersection of engineering and the life sciences, bioengineers are on the forefront of many of the advances in research, education and innovation that will have a positive impact on health, medicine and quality of life. Faculty members involved in Princeton’s Bioengineering Initiative will discuss their groundbreaking interdisciplinary work and the open questions that they continue to think forward for the betterment of society. RSVP now to receive updates.

Forward Fest event graphic with an image from a microscope behind text that lists the date, time, and website.

Forward Fest - Data Science and Artificial Intelligence

Date and Time
Friday, November 20, 2020 - 8:00pm to 9:15pm
Location
Webinar (off campus)
Type
Event

As the pace of data creation and collection continues to accelerate, professors in a variety of disciplines talk about both the power and potential perils of artificial intelligence and what limitations and safeguards we need to take into account moving forward.

Join Matthew Salganik, Elad Hazan *06, and Mona Singh as they participate in the Forward Fest series discussion examining Data Science and Artificial Intelligence.  Brad Smith '81, President of Microsoft, will serve as moderator.

Forward Fest is a monthly online series that will continue throughout A Year of Forward Thinking. The events, featuring Princeton faculty and alumni exploring a range of forward-thinking topics, will be free and open to the public. Sparking dialogue among the entire Princeton community — students, faculty, staff, alumni and other interested thinkers — Forward Fest will explore, engage and develop bold thinking for the future.

Forward Fest is free and open to the public. RSVP now to receive updates and a resource guide, which includes must-know information about the featured speakers with links to their books, articles, podcasts and more!

Matthew Salganik


Matthew Salganik is a professor of sociology who has pioneered uses of data and digital technologies in social research. He was appointed interim director of Princeton University’s Center for Information Technology Policy on July 1, 2019, and then director of CITP for a two-year term beginning July 1, 2020.

Matt is affiliated with several other Princeton’s interdisciplinary research centers, including: the Office for Population Research, the Center for Health and Wellbeing, and the Center for Statistics and Machine Learning. His research interests include social networks and computational social science. He is the author of Bit by Bit: Social Research in the Digital Age.

Matt’s research has been published in journals such as Science, PNAS, Sociological Methodology, and Journal of the American Statistical Association. His papers have won the Outstanding Article Award from the Mathematical Sociology Section of the American Sociological Association and the Outstanding Statistical Application Award from the American Statistical Association. Popular accounts of his work have appeared in the New York Times, Wall Street Journal, Economist, and New Yorker. Salganik is currently on the Board of Directors of Mathematica Policy Research. His research has been funded by the National Science Foundation, National Institutes of Health, Joint United Nations Program for HIV/AIDS (UNAIDS), Russell Sage Foundation, Alfred P. Sloan Foundation, Facebook, and Google. During sabbaticals from Princeton, he has been a Visiting Professor at Cornell Tech and a Senior Researcher at Microsoft Research. During the 2018-19 academic year, he was a professor in residence at the New York Times.


Mona Singh
Mona Singh is a professor of computer science and the Lewis Sigler Institute for Integrative Genomics. She has been on the faculty at Princeton University since 1999.   She received her A.B. and S.M degrees from Harvard University, and her Ph.D.  from MIT, all three in computer science.  She works broadly in computational molecular biology, as well as its interface with machine learning and algorithms.  Much of her work is on developing algorithms to decode genomes at the level of proteins and she is especially interested in developing data-driven methods for predicting and characterizing protein sequences, functions, interactions and networks, both in healthy and disease contexts.  Among her awards are the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2001, and the Rheinstein Junior Faculty Award from Princeton’s School of Engineering and Applied Science in 2003. She was named a Fellow of the ACM in 2019, and of the ISCB in 2018.

Working at the intersection of data science and molecular biology, Singh develops algorithms to decode genomes at the level of proteins. She has pioneered interdisciplinary courses in the field of bioinformatics, the method by which computers are used to synthesize vast quantities of raw biological data. Her recent work has identified genes and mutations that play a role in cancer development, an important first step to guiding new treatments.


Elad Hazan
Elad Hazan is a professor of computer science at Princeton university. His research focuses on the design and analysis of algorithms for basic problems in machine learning and optimization. Amongst his contributions are the co-development of the AdaGrad algorithm for training learning machines, and the first sublinear-time algorithms for convex optimization. He is the recipient of the Bell Labs prize, (twice) the IBM Goldberg best paper award in 2012 and 2008, a European Research Council grant, a Marie Curie fellowship and Google Research Award (twice). He served on the steering committee of the Association for Computational Learning and has been program chair for COLT 2015. In 2017 he co-founded In8 inc. focusing on efficient optimization and control, acquired by Google in 2018. He is the co-founder and director of Google AI Princeton.

Hazan and his team of computer scientists at Google AI Princeton research the automation of the learning mechanism and its efficient algorithmic implementation. In other words, they are developing advanced artificial intelligence where machines can learn quicker — and even teach themselves. Such AI will determine the future of technology, including self-driving automobiles, delivery drones and speech recognition software.


More info on this event can be found here.

Class Day 2019

Date and Time
Monday, June 3, 2019 - 1:30pm to 3:00pm
Location
Friend Center Courtyard
Type
Event

The Chair and the Faculty of the Department of Computer Science
invite all graduating seniors to attend... 

Class Day 2019
Departmental Award Ceremony

Monday, June 3, 2019

Join us as we gather at 1:30 pm, Ceremony will begin at 2:00 pm 
under the tent in the Friend Center Courtyard.
Immediately following, there will be SEAS Reception in the Friend Lobby at 3:00 pm
Presentation of SEAS Awards
Friend Courtyard 3:15 pm.

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