Hi everyone,
Just a reminder that tomorrow , May 2, we will be holding the first Princeton Precision Health (PPH) workshop on interdisciplinary, date-driven approaches for precision medicine. We will bring together biomedical researchers, clinicians, computer scientists, ethicists, and social scientists to discuss a wide range of topics, working toward our goal of enabling more responsive, equitable, and precisely targeted health care. Registration is free but required for an accurate head …
[View More]count for breakfast and lunch: [ https://forms.gle/XFa4RSNhcrDTo5gp7 | https://forms.gle/XFa4RSNhcrDTo5gp7 ]
The schedule is below. Hope to see you there!
Olga
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Olga Troyanskaya
Director, Princeton Precision Health
Professor of Computer Science
and the Lewis-Sigler Institute for Integrative Genomics
Princeton University
9:00 am - coffee and light breakfast, Icahn Lab Oval Lounge
9:45-10:00 am: Welcome and Overview. Olga Troyanskaya, PhD , Director, PPH, Professor of Computer Science
and the Lewis-Sigler Institute for Integrative Genomics, Princeton University. Icahn Lab 101
10:00-11:00 am: Integrating data across disciplines and continents for targeted therapies in kidney diseases.
Matthias Kretzler , MD , Warner-Lambert/Parke-Davis Professor, Internal Medicine, University of Michigan.
11:00-11:30 am: Integrating ethics into precision health: developing a framework . Zoë Fritz, MBBS, Wellcome
fellow in Society and Ethics, University of Cambridge, Consultant Physician in Acute medicine at Addenbrooke’s
Hospital.
11:30-12:00 pm: The case for equitable computational method development for precision oncology. Mona
Singh , PhD , Wang Family Professor in Computer Science. Professor of Computer Science and the Lewis-Sigler
Institute for Integrative Genomics, Princeton University.
12:00-1:00 pm lunch, Oval Lounge
1:00-1:30 pm: Defining and Slowing Reproductive Aging. Coleen Murphy, PhD , James A. Elkins Jr. Professor in
the Life Sciences. Professor of Molecular Biology and the Lewis-Sigler Institute for Integrative Genomics,
Director of the Paul Glenn Laboratories for Aging Research at Princeton University.
1:30-2:30 pm: Ethical Considerations in Predicting and Tracking Health Outcomes. Presentations and Panel
Discussion: Ian Peebles, Harold T. Shapiro Postdoctoral Research Associate in Bioethics at the Center for
Human Values at Princeton University; David Kinney, Postdoctoral Research Associate in Cognitive Science of
Values, at the Center for Human Values at Princeton University; Emily Foster-Hanson , Postdoctoral Research
Associate in Cognitive Science of Values at Princeton University (Current); Assistant Professor of Psychology
at Swarthmore College (Fall 2023).
2:30-3:00 pm: Break, Oval Lounge
3:00-4:00 pm: Going beyond bioethics to doing justice in precision health. Sridhar Venkatapuram, PhD ,
Deputy Director, Global Health, Director of Global Health Education and Training, King’s College London.
4:00-4:30 pm: From genomics to clinical phenotypes in neuropsychiatric disease. Olga Troyanskaya, PhD
Closing remarks, light reception to follow.
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DeCenter Seminar: Non-Fungible Tokens (NFTs): Two Market Challenges
Speaker: Ari Juels, Cornell Tech
[ https://decenter.princeton.edu/events/decenter-seminar-non-fungible-tokens-… | https://decenter.princeton.edu/events/decenter-seminar-non-fungible-tokens-… ]
Thursday, May 4, 2023 - 12:30pm-1:20pm
Location: Computer Science Room 105.
Lunch will be available beginning at noon.
A recording will be available on the DeCenter website after the seminar.
Abstract: Non-fungible tokens (…
[View More]NFTs) have leapt to prominence as a technical and social phenomenon. Collections such as the Bored Ape Yacht Club (BAYC) remain popular and have active communities even in the midst of the current “crypto winter.” The dynamics around NFT sales, however, leave much to be desired. I’ll discuss two problems in NFT markets. The first relates to “drops,” i.e., bulk sales, of popular NFTs today. It’s hard to achieve fairness in drops: Bots often snap up new NFT offerings and corner the market. The second problem relates to royalty payments for creators, one of the most attractive features of NFTs. Royalties have become a battleground among NFT markets, which often leads to creators being deprived of royalties or market access. I’ll discuss candidate solutions to these two problems using privacy-preserving oracles systems and a new cryptographic concept called Complete Knowledge.
Bio : Ari Juels is the Weill Family Foundation and Joan and Sanford I. Weill Professor in the [ http://tech.cornell.edu/experience/jacobs-institute/ | Jacobs
Technion-Cornell Institute ] at [ http://tech.cornell.edu/ | Cornell Tech ] and the Technion and a Computer Science faculty member at [ http://www.cornell.edu/ | Cornell University ] . He is a Co-Director of the [ http://www.initc3.org/ | Initiative for CryptoCurrencies and Contracts (IC3) ] . He is also Chief Scientist at [ https://chainlinklabs.com/ | Chainlink
Labs ] .
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Speaker: Lydia Liu, Cornell University
Date: Wednesday, April 5
Time: 12:30pm EST
Location: CS 105
Hosts: Olga Russakovsky and Peter Ramadge
Event page: https://www.cs.princeton.edu/events/26353
Title: Towards Responsible Machine Learning in Societal Systems
Abstract: Machine learning systems are deployed in consequential domains such as education, employment, and credit, where decisions have profound effects on socioeconomic opportunity and life outcomes. High stakes decision settings …
[View More]present new statistical, algorithmic, and ethical challenges. In this talk, we examine the distributive impact of machine learning algorithms in societal contexts, and investigate the algorithmic and sociotechnical interventions that bring machine learning systems into alignment with societal values---equity and long-term welfare. First, we study the dynamic interactions between machine learning algorithms and populations, for the purpose of mitigating disparate impact in applications such as algorithmic lending and hiring. Next, we consider data-driven decision systems in competitive environments such as markets, and devise learning algorithms to ensure efficiency and allocative fairness. We end by outlining future directions for responsible machine learning in societal systems that bridge the gap between the optimization of predictive models and the evaluation of downstream decisions and impact.
Bio: Lydia T. Liu is a postdoctoral researcher in Computer Science at Cornell University, working with Jon Kleinberg, Karen Levy, and Solon Barocas. Her research examines the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and human welfare. She obtained her PhD in Electrical Engineering and Computer Sciences from UC Berkeley, advised by Moritz Hardt and Michael Jordan, and has received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, and a Best Paper Award at the International Conference on Machine Learning.
This talk is co-sponsored with Electrical and Computer Engineering and the Center for Information Technology Policy.
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