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CEO of Black Girls Code: Cristina Mancini

Date and Time
Friday, October 25, 2024 - 6:30pm to 8:00pm
Location
Richardson Auditorium
Type
Event
Host
Mae Milano

Meet the CEO of Black Girls Code! On October 25th from 6:30–8 pm, CEO Cristina Mancini will be coming to Richardson Auditorium for a conversation with Mae Milano, assistant professor of computer science, followed by a reception (catered by Kung Fu Tea) where you can talk with Ms. Mancini one-on-one! 

ALL students, faculty, and staff are welcome to attend! 

FREE tickets can be purchased at: Richardson Auditorium Events.

Who is Cristina Mancini?

As CEO of Black Girls Code, Mancini champions equity and innovation, steering the organization toward a future where Black girls are not just coders but imaginative creators shaping our world. Mancini has decades of executive and leadership experience at the intersection of technology, marketing, and media. She is passionate about creating pathways for women of color to be in the rooms where tech is being innovated, and approaches this work with urgency. 

About Black Girls Code

Since 2011, Black Girls Code has been dedicated to placing one million girls of color in tech by 2040. The organization ignites interest, activates potential, and nurtures careers in tech for girls and women of color ages 7-25. They partner with schools, local organizations, and dedicated volunteers to get participants the resources they need to thrive. For more than a decade, Black Girls Code has provided Black girls, girls of color, and gender nonconforming youth with computer programming education to nurture their careers in Science, Technology, Engineering, Arts and Mathematics fields.

This event is a collaboration between the Princeton University Robotics Club (PURC), Princeton’s chapter of the Society of Women Engineers (SWE), and Princeton’s chapter of the National Society of Black Engineers (NSBE). SWE, PURC, and NSBE are all built on a foundation of acceptance and celebration of our identities and how they uniquely contribute to the world of STEM. Our speaker's company, Black Girls Code, is likewise built on similar values, entirely devoted to inspiring black girls to explore and excel in the field of computer science. Through this event, we want to shine a spotlight on both her personal experiences and her hopes for improving the space of women in computer science to encourage similar conversations that last long after people leave the auditorium.

This event is co-sponsored by the Center for Digital Humanities.

AI for Accelerating Invention: Launch Event

Date and Time
Thursday, August 29, 2024 - 1:30pm to 4:30pm
Location
Friend Center Convocation Room
Type
Event

Attendance restricted to Princeton University faculty, staff and students.

AI for Accelerating Invention, a new Princeton AI Lab initiative, integrates artificial intelligence into engineering research, developing new technologies and tools to accelerate the process of invention —  from design, to simulation, to fabrication, to control. 

The launch event begins with introductory remarks by Dean Andrea Goldsmith and co-directors Ryan Adams and Mengdi Wang, followed by faculty lightning talks and a reception.

1:30 pm - 3:30 pm

Introductory Remarks

  • Andrea Goldsmith, Dean of the School of Engineering and Applied Sciences
  • Ryan P. Adams, Co-Director of AI for Accelerating Invention, Professor of Computer Science, Associate Chair of Department of Computer Science
  • Mengdi Wang, Co-Director of AI for Accelerating Invention, Professor of Computer Science, Associate Professor of Electrical and Computer Engineering and the Center for Statistics and Machine Learning (CSML)

Lightning talks featuring Princeton faculty

  • Clifford P. Brangwynne, June K. Wu ’92 Professor of Chemical and Biological Engineering. Professor of Chemical and Biological Engineering and Bioengineering. Director, Omenn-Darling Bioengineering Institute.
  • Z. Jason Ren, Professor of Civil and Environmental Engineering and the Andlinger Center for Energy and the Environment.
  • Christine Allen-Blanchette, Assistant Professor of Mechanical and Aerospace Engineering and Statistics and Machine Learning.
  • Jaime Fernández Fisac, Assistant Professor of Electrical & Computer Engineering.
  • Shantenu Jha, Head, Computational Sciences Department (CSD), Computational Science, Princeton Plasma Physics Laboratory.
  • Egemen Kolemen, Associate Professor of Mechanical and Aerospace Engineering and the Andlinger Center for Energy and the Environment. Director, Program in Sustainable Energy.
  • Szymon Rusinkiewicz, David M. Siegel ’83 Professor of Computer Science. Chair, Department of Computer Science. Director, Program in Robotics and Intelligent Systems.
  • Kaushik Sengupta, Professor of Electrical & Computer Engineering.
  • Jared Toettcher, Associate Professor of Molecular Biology and Bioengineering. Deputy Director, Omenn-Darling Bioengineering Institute.
  • Ellen Zhong, Assistant Professor of Computer Science.

3:30 - 4:30 pm: Reception

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.

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