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Data-Driven Decision Processes_hi-res logo

Societal Considerations and Applications

Program
Data-Driven Decision Processes
Date
Monday, Nov. 7 – Thursday, Nov. 10, 2022
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9 – 9:25 a.m.
Coffee and Check In
9:25 – 9:30 a.m.
Opening Remarks
9:30 – 10:30 a.m.
Privacy-safe Measurement on the Web: Open Questions From the Privacy Sandbox

Christina Ilvento (Google)
Video
10:30 – 11 a.m.
Break
11 a.m. – 12 p.m.
Privacy Management: Achieving the Possimpible

Laura Brandimarte (University of Arizona)
Video
12 – 2 p.m.
Lunch
2 – 2:45 p.m.
Concurrent Composition Theorems for all Standard Variants of Differential Privacy

Wanrong Zhang (Harvard University)
Video
2:45 – 3:30 p.m.
Chasing the Long Tail: What Neural Networks Memorize and Why

Vitaly Feldman (Apple ML Research)
Video
3:30 – 4 p.m.
Break
4 – 5 p.m.
Panel Discussion

Kimon Drakopoulos,
Moon Duchin,
Philip LeClerc,
Alex Teytelboym,
Vahideh Manshadi
5 – 6 p.m.
Reception
9 – 9:30 a.m.
Coffee and Check In
9:30 – 10:15 a.m.
Introduction to (Computational) Redistricting

Moon Duchin (Tufts University)
10:15 – 11 a.m.
A Kerfuffle: Differential Privacy and the 2020 Census

Aloni Cohen (Boston University)
Video
11 – 11:30 a.m.
Break
11:30 a.m. – 12:30 p.m.
Academia, Government, & Industry in the 2020 Disclosure Avoidance System

Philip LeClerc (U.S. Census Bureau)
12:30 – 2 p.m.
Lunch
2 – 2:45 p.m.
Improving Refugee Resettlement

Alex Teytelboym (University of Oxford)
Video
2:45 – 3:30 p.m.
Algorithmic Challenges in Ensuring Fairness at the Time of Decision

Swati Gupta (Georgia Institute of Technology)
Video
3:30 – 4 p.m.
Break
4 – 5 p.m.
Poster Session
9 – 9:30 a.m.
Coffee and Check In
9:30 – 10:15 a.m.
Pipeline Interventions

Juba Ziani (Georgia Tech)
Video
10:15 – 11 a.m.
Bringing Order to Chaos: Navigating the Disagreement Problem in Explainable ML

Hima Lakkaraju (Harvard University)
Video
11 – 11:30 a.m.
Break
11:30 a.m. – 12:30 p.m.
Predictive Modeling in Healthcare – Special Considerations

Noa Dagan (Clalit Health Services)
Video
12:30 – 2 p.m.
Lunch
2 – 2:45 p.m.
What Really Matters for Fairness in Machine Learning: Delayed Impact and Other Desiderata

Lydia Liu (Cornell University)
Video
2:45 – 3:30 p.m.
Supply-Side Equilibria in Recommender Systems

Jacob Steinhardt (UC Berkeley)
Video
3:30 – 4 p.m.
Break
4 – 5 p.m.
Decision-Aware Learning for Global Health Supply Chains

Hamsa Bastani (Wharton School, University of Pennsylvania)
Video
9 – 9:30 a.m.
Coffee and Check In
9:30 – 10:30 a.m.
Unpacking the Black Box: Regulating Algorithmic Decisions

Jann Spiess (Stanford University)
Video
10:30 – 11 a.m.
Break
11 a.m. – 12 p.m.
Efficient and Targeted COVID-19 Border Testing via Reinforcement Learning

Kimon Drakopoulos (University of Southern California)
Video
12 – 2 p.m.
Lunch
2 – 2:45 p.m.
Re-designing Recommendation on VolunteerMatch: Theory and Practice

Vahideh Manshadi (Yale University)
Video
2:45 – 3:45 p.m.
Discussion
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  • Home
  • Programs & Events
    • Research Programs
    • Workshops & Symposia
    • Public Lectures
    • Research Pods
    • Internal Program Activities
    • Algorithms, Society, and the Law
  • People
    • Scientific Leadership
    • Staff
    • Current Long-Term Visitors
    • Research Fellows
    • Postdoctoral Researchers
    • Scientific Advisory Board
    • Governance Board
    • Industry Advisory Council
    • Affiliated Faculty
    • Science Communicators in Residence
    • Law and Society Fellows
  • Participate
    • Apply to Participate
    • Plan Your Visit
    • Accessibility
    • Location & Directions
    • Postdoctoral Research Fellowships
    • Law and Society Fellowships
    • Science Communicator in Residence Program
    • Circles
    • Breakthroughs Workshops and Goldwasser Exploratory Workshops
  • Support
    • Annual Fund
    • Funders
    • Industrial Partnerships
  • News & Videos
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