FORC 2020 Program

The FORC 2020 program is now available here: https://responsiblecomputing.org/program/ (and reproduced below) Note the terrific set of contributed talks at keynotes, and note that registration is free! There will also be junior/senior breakout sessions into small groups during the lunch breaks to facilitate informal conversation and networking. Please consider attending, and help to spread the word!

FORC 2020 will take place virtually (on Zoom) on June 1st and 2nd, 2020. All times below are in Eastern Daylight Time (i.e. Boston/New York/Philadelphia time).

Registration is FREE but mandatory (Zoom links will be sent to registered email addresses). Register here before May 28: https://forms.gle/vgTzkMS6jLN9xPud8

Day 1: June 1, 2020. 

10:20-10:30 Opening Remarks

10:30-11:20 Keynote Talk: Adrian Weller, University of Cambridge (Session Chair: Suresh Venkatasubramanian)

11:20-12:00 Session 1 (Session Chair: Adam Smith)

1. Aloni Cohen and Kobbi Nissim. Towards Formalizing the GDPR’s Notion of Singling Out
2. Charlotte Peale, Omer Reingold and Katrina Ligett. Bounded-Leakage Differential Privacy
3. Moni Naor and Neil Vexler. Can Two Walk Together: Privacy Enhancing Methods and Preventing Tracking of Users
4. Badih Ghazi, Ravi Kumar, Pasin Manurangsi and Rasmus Pagh. Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
5. Badih Ghazi, Noah Golowich, Ravi Kumar, Rasmus Pagh and Ameya Velingker. On the Power of Multiple Anonymous Messages

12:00-1:30 Virtual Lunch/Informal Discussion/Networking

1:30-2:20 Keynote Talk: Rakesh Vohra, University of Pennsylvania (Session Chair: Rachel Cummings)

2:20-3:05 Session 2 (Session Chair: Nicole Immorlica)

1. Lee Cohen, Zachary Lipton and Yishay Mansour. Efficient candidate screening under multiple tests and implications for fairness
2. Cynthia Dwork, Christina Ilvento, Guy Rothblum and Pragya Sur. Abstracting Fairness: Oracles, Metrics, and Interpretability
3. Christina Ilvento. Metric Learning for Individual Fairness
4. Kevin Stangl and Avrim Blum. Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

End Day 1

Day 2: June 2, 2020.

10:30-11:20 Keynote Talk: Patricia Williams, Northeastern University (Session Chair: Cynthia Dwork)

11:20-12:00 Session 3 (Session Chair: Steven Wu)

1. Arpita Biswas, Siddharth Barman, Amit Deshpande and Amit Sharma. Inframarginality Audit of Group-Fairness
2. Christopher Jung, Sampath Kannan and Neil Lutz. Service in Your Neighborhood: Fairness in Center Location
3. Cynthia Dwork, Christina Ilvento and Meena Jagadeesan. Individual Fairness in Pipelines
4. Hao Wang, Hsiang Hsu, Mario Diaz and Flavio Calmon. To Split or Not to Split: The Impact of Disparate Treatment in Classification

12:00-1:30 Virtual Lunch/Informal Discussion/Networking

1:30-2:20 Keynote Talk: Jon Kleinberg, Cornell University. (Session Chair: Michael Kearns)

2:20-3:05 Session 4 (Session Chair: Guy Rothblum)

1. Ashesh Rambachan and Jonathan Roth. Bias In, Bias Out? Evaluating the Folk Wisdom
2. Mark Braverman and Sumegha Garg. The Role of Randomness and Noise in Strategic Classification
3. Sergei Mikhalishchev and Andrei Matveenko. Attentional Role of Quota Implementation
4. Roy Dong, Erik Miehling and Cedric Langbort. Protecting Consumers Against Personalized Pricing: A Stopping Time Approach

3:05-3:15 Closing Remarks.

End of Conference

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