Who Counts? Sex and Gender Bias in Data - IPAM

Who Counts? Sex and Gender Bias in Data

July 18 - 20, 2022

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, July 18, 2022

Morning Session

08:00-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-09:05
Welcome
Session 1: Sex as biological variable?
09:05-09:45
Sarah Richardson (Harvard University)
Individual Probabibilities, The Reference Class Problem, Model Multiplicity, and Reconciling Beliefs
09:45-10:25
Evelynn Hammonds (Harvard University)
Low-rank tensor recovery from memory-efficient measurements
10:25-11:00
Discussion
11:00-11:25
Break
Session 2
11:25-12:15
Detailed self-introductions

Afternoon Session

12:15-02:00
Lunch (on your own)
Session 3 Data: Excavating the "Givens"
14:00-14:20
Meredith Broussard (New York University)
Title not available
14:20-14:40
Catherine D'ignazio (Massachusetts Institute of Technology)
Virtual Talk:
14:40-15:00
Seeta Peña-Gangadharan (London School of Economics and Political Science)
Title not available
15:00-15:40
Timnit Gebru (Stanford University)
Virtual Talk:
16:30-17:30
Cynthia Dwork (Harvard University)
Green Family Lecture Series: “Differential Privacy and the US Census” by Cynthia Dwork
17:30-18:30
Reception (Location: IPAM Lobby)

Tuesday, July 19, 2022

Morning Session

Session 4: Intersectionality in Algorithmic Fairness
09:00-09:40
Omer Reingold (Stanford University)
Precise Quantum Mechanical Calculations of Electron Interactions and Dynamics in Condensed Matter
09:00-09:40
Guy Rothblum (Apple MLR)
Resonant ptychography, applications to 3D magnetization and chemical characterization
09:40-10:00
Frauke Kreuter (University of Maryland)
Learning to Explore with Scalable Supervision
10:00-10:20
Aleksandra Korolova (Princeton University)
Interpreting intersectionality very broadly
10:20-10:50
Noa Dagan (Harvard Medical School)
Virtual Talk: Are these clinical trial results relevant for me?
10:50-11:20
Break
11:20-11:50
Discussion
11:50-14:00
Lunch (on your own)

Afternoon Session

Session 5: Fairness in Medicine
14:00-15:30
Noémie Elhadad (Columbia University)
Gender differences in disease prevalence and time to diagnosis
14:00-15:30
Marzyeh Ghassemi (Massachusetts Institute of Technology)
Designing Machine Learning Processes For Equitable Health Systems
14:00-15:30
Emma Pierson (Cornell University)
Virtual Talk: Using data science to shed light on understudied problems in women's health
14:00-15:30
Virtual: Discussion (with Nancy Krieger)
15:30-16:00
Break
Session 6: Designing Women, Designing Inclusivity
16:00-04:20
Moya Bailey (Northwestern University)
What the Data Doesn’t Say: Reflections on the Limits of Data Analysis in #HashtagActivism and Misogynoir Transformed
16:20-17:00
Discussion

Wednesday, July 20, 2022

Morning Session

09:00-09:40
Cynthia Dwork (Harvard University)
Green Family Lecture: The Calculus of Inclusion
09:40-21:55
Break
Session 8: Inequality and Over-Reliance on Predictive Imaginaries
10:00-11:30
Aaron Roth (University of Pennsylvania)
Virtual Talk: Individual Probabilities, The Reference Class Problem, Model Multiplicity, and Reconciling Beliefs
10:00-11:30
Lily Hu (Yale University)
What is Race in Algorithmic Discrimination on the Basis of Race?
10:00-11:30
Rediet Abebe (University of California, Berkeley (UC Berkeley))
Title not available
11:30-13:30
Lunch (on your own)

Afternoon Session

Session 9: The Datified Self: Privacy, Autonomy and the Dismemberment of the Legal Subject
13:30-13:50
Ari Waldman (Northeastern University)
Title not available
13:50-14:10
Salome Viljoen (University of Michigan)
What makes datafication (legally) wrongful?
14:10-14:30
Patricia Williams (Northeastern University)
Title not available
14:30-15:00
Discussion (with Marth Minow)
15:15-16:15
Cynthia Dwork (Harvard University)
Tentative: Responsible Algorithms in the Aftermath of Roe.
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