LIPIcs, Volume 295, FORC 2024

• Guy N. Rothblum LIPIcs, Volume 295, FORC 2024, Complete Volume 10.4230/LIPIcs.FORC.2024
• Guy N. Rothblum Front Matter, Table of Contents, Preface, Conference Organization 10.4230/LIPIcs.FORC.2024.0
• Suat Evren and Praneeth Vepakomma Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems 10.4230/LIPIcs.FORC.2024.1
• Lee Cohen and Han Shao Incentivized Collaboration in Active Learning 10.4230/LIPIcs.FORC.2024.2
• Niva Elkin-Koren, Uri Hacohen, Roi Livni, and Shay Moran Can Copyright Be Reduced to Privacy? 10.4230/LIPIcs.FORC.2024.3
• Siqi Deng, Emily Diana, Michael Kearns, and Aaron Roth Balanced Filtering via Disclosure-Controlled Proxies 10.4230/LIPIcs.FORC.2024.4
• Daniel Hsu, Jizhou Huang, and Brendan Juba Distribution-Specific Auditing for Subgroup Fairness 10.4230/LIPIcs.FORC.2024.5
• Christopher Archer and Gireeja Ranade Modeling Diversity Dynamics in Time-Evolving Collaboration Networks 10.4230/LIPIcs.FORC.2024.6
• Gabriel Chuang, Oussama Hanguir, and Clifford Stein Drawing Competitive Districts in Redistricting 10.4230/LIPIcs.FORC.2024.7
• Anmol Kabra, Mina Karzand, Tosca Lechner, Nati Srebro, and Serena Wang Score Design for Multi-Criteria Incentivization 10.4230/LIPIcs.FORC.2024.8
• Nivasini Ananthakrishnan, Tiffany Ding, Mariel Werner, Sai Praneeth Karimireddy, and Michael I. Jordan Privacy Can Arise Endogenously in an Economic System with Learning Agents 10.4230/LIPIcs.FORC.2024.9
• Nicole Immorlica, Brendan Lucier, Markus Mobius, and James Siderius Online Algorithms with Limited Data Retention (Extended Abstract) 10.4230/LIPIcs.FORC.2024.10