Dear colleagues and friends, I am pleased to announce Data (Re)Makes the World <https://law.yale.edu/isp/events/data-remakes-world>, a conference hosted by the Information Society Project at Yale Law School on March 31st & April 1st, 2023. The conference schedule is provided below. You can register to attend the conference in person or online till March 30th via the conference webpage. Questions? Please email me. Hope you can join us! Best, Aaron *Data (Re)Makes the World* <https://law.yale.edu/isp/events/data-remakes-world> *March 31 & April 1, 2023* *Information Society Project, Yale Law School* *Day 1: Friday, March 31, 2023* *Breakfast & Registration, 8:30 am – 9:00 am* *Opening Remarks, 8:45 am – 9:00 am* Conference Convener: Aaron Mendon-Plasek, Yale Law *Panel 1: Justice, 9:00 am – 10:40 am* Chair: Meg Leta Jones, Georgetown University Andrew Meade McGee, Smithsonian Institution, “Quantifying a Rights Revolution Fifty Years On: Predictive Modeling, Algorithmic Rulemaking, and the 1973 Databank Debates Over Mainframe Computers in Urban Policy and Social Welfare Policy” Simone Zhang, Norte Dame, “The Asymmetrical Effects of Pretrial Risk Assessment Algorithms in the Courtroom” Katrina Geddes, New York University, “Will you have autonomy in the Metaverse?” A. Feder Cooper (Cornell), Madiha Zahrah Choski (Cornell Tech), Solon Barocas (Cornell), Christopher De Sa (Cornell), James Grimmelmann (Cornell Law & Cornell Tech), Siddhartha Sen (Microsoft), “On Machine Learning Uncertainty, Arbitrariness, and Due Process” *Coffee Break, 10:40 am – 11:00 am* *Panel 2: Trusting Sources, 11:00 am – 12:40 pm* Chair: Matthew Jones, Columbia University Gabriel Grill, University of Michigan, “Constructing Certainty in Machine Learning: On the performativity of testing and its hold on the Future” Kadija Ferryman & Odia Kane, John Hopkins, “Identifying and Interrogating Algorithmic Accounts in Medical AI” Kushang Mishra, IIIT Bangalore, “Data-driven ‘precision’ vs Farmer’s guesswork: How Data is (Re)Making Agriculture in India” Alexander Campolo (Duham U) & Katia Schwerzmann (Ruhr-Universität Bochum), “From ‘Is’ to ‘Ought’: Data as Example in Machine Learning” *Lunch, 12:40 pm – 1:40 pm* *Panel 3: Calculated Environments, 1:40 pm – 3:20 pm [Parallel Session 1 of 2]* Chair: TBA James Clinton Francis (Columbia Law), Adeline Chum (Columbia), & Guangyu Wu (Columbia), “Clucked Up: Active Machine Learning of Aerial Imagery and the Undercounting-Underfunding Problem in North Carolina’s Poultry Industry” Matt P. Lukacz, Harvard, “Environmental Technocracy or Science-Based Policy? Critiques of Quantification in Political Ecology and the History of Debates About Algorithmic Decision Making in Conservation Biology” Theodora Dryer, New York University, “Colorado River Water Policy and ADS Regulation” *Panel 4: Computed Worlds, 1:40 pm – 3:20 pm [Parallel Session 2 of 2]* Chair: TBA Pariroo Rattan, Harvard University, “Dueling Economists and Discriminating Models: Causal Regression Analysis in 21st Century American Courts” Ekaterina Babintseva, Purdue University, “Rules for Creative Thinking: Algorithms, Heuristics, and Soviet Cybernetic Psychology” Jonathan Weinberg, Wayne State University, “Everything old is new again: credit rating and alternative data” Catherine Powell, Fordham Law, “Race, Place, and Cyberspace” *Coffee Break, 3:20 pm – 3:40 pm* *Panel 5: Data Work, 3:40 pm – 5:20 pm* Chair: TBA Karen Levy, Cornell University, “Rules, Loopholes, and Autonomous Systems” Ira Anjali Anwar, University of Michigan, “Seeing Like a Gig Company: Algorithmic Classification and the (Re)Valuation of Labor” Devin Kennedy, University of Wisconsin-Madison, “Factory Work and Database Management: Industrial Origins of the Computer Database, 1958-67” Jordan Ali and Gili Vidan, Cornell University, “The Economization of Play: Collapsing Value and Liberatory Promises on the Axie Infinity Platform” *Day 2: Saturday, April 1, 2023* *Breakfast, 9:00 am – 9:30 am* *Panel 6: Enacting Futures, 9:30 am – 11:10 am* Chair: Valère Ndior, Université de Bretagne occidentale Angelina Wang (Princeton), Sayash Kapoor (Princeton), Solon Barocas (Cornell), Arvind Narayanan (Princeton), “Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy” Jonnie Penn, University of Cambridge, “Decomputerization as Détente” Burcu Baykurt, University of Massachusetts—Amherst, “Extracting Value” Hannah Zeavin, Indiana University, “Screening Mother, Coding Baby: Predictive Control, Incarcerated Mothers, and Attachment Theory in the Prison” *Coffee Break & Lunch Pickup, 11:10 am – 11:30 am* *Panel 7: Mediating Identities, 11:30 am – 1:10 pm [lunch panel]* Chair: Lisa Messeri, Yale University Pieter Vanden Broeck & David Stark, Columbia University, “Class, Code and Control: Algorithmic Management in the Classroom” Amina Abdu (UMichigan), Lauren Chambers (Berkeley), Abigail Jacobs (UMichigan), Deirdre Mulligan (Berkeley), “The Limits of (Algorithmic) Transparency: Lessons Learned from the US Census’ Implementation of Differential Privacy” Alicia Boyd, New York University, “Should they? Gender Recognition, Privacy, and Accelerometers” Nina Toft Djanegara, Stanford University, “Face the Nation” *Closing Remarks, 1:10 pm – 1:20 pm*