Social/Political Philosophy, Applied Ethics, Metaphysics, Epistemology. London School of Economics, London, UK. Visiting Student, Fall Semester, 2016

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Kate Vredenburgh Curriculum Vitae Last updated: October 25, 2018 Contact Information Department of Philosophy 25 Quincy St Cambridge, MA 02138 kvredenburgh@fas.harvard.edu www.katevredenburgh.com Areas of Specialization Philosophy of Social Science, Philosophy of Economics, Applied Ethics and Philosophy of Technology, Philosophy of Science Areas of Competence Social/Political Philosophy, Applied Ethics, Metaphysics, Epistemology Education, Cambridge, MA Ph.D., Philosophy, May 2019 (expected) Thesis: The Explanatory Role of Preferences in the Social Sciences Committee: Ned Hall (chair), Susanna Rinard, Lucas Stanczyk, and Michael Strevens (NYU) M.A., Philosophy, Aug. 2014 London School of Economics, London, UK Visiting Student at the Center for Philosophy of Natural and Social Science, Summer Term, 2018 New York University Visiting Student, Fall Semester, 2016 Oxford University, Oxford, UK BPhil, Philosophy, 2009 2011 Thesis: The Epistemic Norm of Assertion, supervised by Elizabeth Fricker (distinction) Examination Topics: Hume, Logic and the Philosophy of Language, Metaphysics and Epistemology Gettysburg College, Gettysburg, PA B.A. Philosophy, English Literature, 2005 2009 (summa cum laude) 1 of 8

Dissertation Abstract My dissertation examines how epistemic, practical, and ethical commitments influence modeling in the social sciences. It does so using two case studies: revealed preference approaches and market design. I argue that revealed preferences do sometimes explain an agent s choices, on either a unificationist or an interventionist account of explanation. Here I oppose a widespread consensus that revealed preferences have no power to explain consumption and other choices. This explanatory defense is driven by the epistemic and practical goals behind revealed preference modeling, such as the efficient summary of patterns. Second, I argue that ethical commitments other than preference utilitarianism, such as equality of opportunity and inequality, guide market design, that they should do so, and that economists should draw on these other commitments more systematically. Publications and Papers in Progress A Unificationist Defense of Revealed Preferences (forthcoming, Economics and Philosophy) under review Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education, with B. Grosz, D. Gray Grant, J. Behrends, and J. Waldo (revise and resubmit, Communications of the ACM ) in preparation A Right to Explanation of Automated Decisions An Interventionist Defense of Revealed Preferences Beyond Unenviable Matches: Preferences, Priorities, and Reasons Selected Presentations The Ethics of Market Design Guest Lecture, Economics 2099: Market Design Nov. 2018 Harvard The Right to Explanation Leverhulme Centre for the Future of Intelligence, Monday Seminar Nov. 2018 Cambridge Philosophy of Machine Learning: Knowledge and Causality Mar. 2018 UC Irvine An Interventionist Account of Revealed Preference Explanations Revealed Preferences Workshop Nov. 2018 LSE (workshop co-organizer) Causes, Norms, and Decisions Aug. 2018 Leibniz Üniversität Hannover 2 of 8

Discrimination and Causal versus Statistical Fairness Criteria Lighting Talk, Fairness in Machine Learning Workshop Sep. 2018 Google Boston Fair Matching via Algorithms Fourth International Conference Economic Philosophy June 2018 ENS de Lyon Explanatory Challenges to Revealed Preference Approaches: A Unificationist Response Workshop on Reasons, Rationality and Intentional Agency Sep. 2017 The London School of Economics Lake Como Summer School on the Evolution of the Economic Aug. 2017 Theory of Decision Making European Congress of Analytic Philosophy Aug. 2017 Ludwig-Maximilians-Üniversität, Munich EIPE 20th Anniversary Conference Mar. 2017 Erasmus University, Rotterdam Explanatory Challenges to Classical Rational Choice Theory European Network for the Philosophy of Social Science Aug. 2016 University of Helsinki Idealization, Explanation, and Scientific Realism Society for the Metaphysics of Science Sep. 2016 University of Geneva Infinite Idealizations in Science June 2016 Ludwig-Maximilians-Üniversität, Munich Selected Comments On Digital Demos and Algorithmic Citizenship Panel June 2018 Emerging Technologies and the Future of Citizenship Conference On Elgin and Kvanvig on Idealizations and the Factivity of Scientific Sep. 2017 Understanding, Sorin Bangu 3 of 8

Society for the Metaphysics of Science Awards & Honors Cross-Disciplinary Research Fellowship for research on choice at LSE Spring 2018 Mind, Brain, and Behavior Group, Richard M. Martin Prize Fellowship AY 2016 2017 Department of Philosophy, Certificate of Distinction for Teaching of Undergraduates, for Saints, Heretics, and Atheists Spring 2017 for Philosophy of Science Spring 2016 for Philosophy of Quantum Mechanics Spring 2015 for Metaphysics Fall 2014 Pre-Dissertation Fellowship Summer 2013 Phi Beta Kappa, Gettysburg College Chapter 2008 Chan L. Coulter Philosophy Award Spring 2009 Gettysburg College (awarded annually to the best Philosophy thesis) Graeff English Prize Spring 2009 Gettysburg College (awarded annually to the best English Literature thesis) Presidential Scholarship (Academic Merit) AY 2005 2009 Gettysburg College Specialized Seminars Causal pluralism: a multi-disciplinary investigation of causality January 2018 in philosophy and the sciences Radcliffe Institute Seminar, Lake Como Summer School on the Evolution of the Economic Theory August 2017 of Decision Making Lake Como School of Advanced Studies Moral Intuitionism: Epistemological and Ethical Aspects July 2013 Central European University, Budapest 4 of 8

Graduate Coursework (*not taken for credit) Philosophy of Science and Social Science *Behavioral Economics Spring 2018 Utility, Amartya Sen, Eric Maskin, Barry Mazur Fall 2017 Intermediate Microeconomics Fall 2017 *Intermediate Macroeconomics Spring 2017 *Explanation, Ned Hall and Brad Skow Spring 2017 *Confirmation, Michael Strevens, NYU Fall 2016 *Philosophy of Probability, Susanna Rinard Spring 2015 Political Philosophy and Ethics *Seminar on Social Welfare, Matthew Adler, LSE Summer 2018 *Topics in Political Philosophy, Lucas Stanczyk Spring 2018 *Topics in Political Philosophy, Tim Scanlon Spring 2016 *Normative and Meta-Normative Questions, Spring 2015 Selim Berker and Derek Parfit *Metaethics, Selim Berker Fall 2014 Philosophy and Law: Seminar, Richard Fallon and Tim Scanlon Fall 2013 Equality and Liberty, Tim Scanlon Fall 2013 Kant s Ethics, Christine Korsgaard Spring 2013 First Year Colloquium, Selim Berker Spring 2013 Metaphysics and Epistemology Metaphysical Grounding, Selim Berker Spring 2013 First Year Colloquium, Ned Hall and Sean Kelly Fall 2012 *Epistemology, Selim Berker Fall 2012 Aristotle, Rusty Jones Fall 2012 Metaphysics and Epistemology, Scott Sturgeon, Oxford Supervision Spring 2010 Hume, Peter Millican, Oxford Supervision Fall 2009 Logic and Philosophy of Language Advanced Semantics, Irene Heim Spring 2014 Logic and Philosophy, Warren Goldfarb Spring 2014 Philosophy and Semantics, Mark Richard Spring 2013 Conditionals, Bob Stalnaker Fall 2012 Logic and Philosophy of Language, John Hawthorne, Oxford Supervision Spring 2010 Philosophical Pedagogy Instructional Styles in Philosophy, Bernhard Nickel AY 2014-2015 Language Courses *Philosophy in Translation: German, Bernhard Nickel German: Advanced Grammar and Reading, Peter Burgard Teaching Primary Instructor Big Data, Ethics, and Moral Machines Summer 2018 Pre-College Summer Program Course 5 of 8

Designed and taught ethics modules in computer science courses AY 2017 2018, AM106: Applied Algebra 2018 2019 CS134: Networks CS181: Machine Learning CS189: Autonomous Robot Systems CS236R: Topics at the Interface of Computer Science and Economics CS265: Big Data Systems CS136: Economics and Computing CS165: Data Science CS182: AI Ethics: Theory and Practice Summer 2017, 2016 Pre-College Summer Program Course Phil 97: The Philosophy of Social Science Spring 2017 Sophomore Tutorial Complexity Approaches to Modeling the Financial System January 2016 Invited Guest Lecturer, Winter Seminar Bayreuth University, Germany Teaching Assistant, Phil 24: The Ethics of Climate Change Spring 2018 CB 31: Saints, Heretics, and Atheists Spring 2017 Phil 149: Philosophy of Science Spring 2016 ER 38: The Meaning of Life Fall 2015 Phil 151z: The Philosophy of Quantum Mechanics Spring 2015 Phil 164: Metaphysics Fall 2014 Professional Service & Public Outreach Referee, Noûs, Economics and Philosophy, and FAT/ML Ethics advising to tech companies, Principia Advisory ongoing ongoing Co-organizer, Revealed Preferences Workshop, LSE Nov. 2018 Committee Member, Harvard embedded ethics 2017 2019 Co-presenter, Machine Learning and the Social Good Mar. 2018 Women Engineers Code Conference Co-presenter, The Ethics of Big Data Apr. 2017 MIT Day of Outreach Instructor, ThinkerAnalytix (a non-profit that aims to bring 2016-2017 philosophy to local high schools) Co-organizer, Talk Shop (informal presentation venue), Harvard 2014 2016 Committee Member, Joint MIT-Harvard Minorities and Philosophy 2013 2019 6 of 8

Co-organizer, prospective student academic visit, 2013, 2016 Languages English (native speaker), German (fluent), Spanish (conversational) References Ned Hall 1 (617) 495 2468 Professor, Department of Philosophy ehall@fas.harvard.edu Michael Strevens 1 (212) 998 3559 Professor, Department of Philosophy strevens@nyu.edu New York University Christian List +44 (0)20 7955 6785 Professor of Philosophy and Political Science c.list@lse.ac.uk Department of Philosophy, Logic, and Scientific Method, LSE Lucas Stanczyk Assistant Professor, Department of Philosophy stanczyk@fas.harvard.edu Susanna Rinard 1 (617) 495 3970) Assistant Professor, Department of Philosophy susannarinard@fas.harvard.edu Alison Simmons 1 (617) 495 0516 Professor, Department of Philosophy asimmons@fas.harvard.edu David Parkes 1 (617) 496 1447 Professor, Computer Science parkes@seas.harvard.edu Barbara Grosz 1 (617) 495 3963 Professor, Computer Science grosz@eecs.harvard.edu Long dissertation abstract Preferences play a key explanatory role in the social sciences. They explain patterns of segregation, stock market crashes, and election outcomes. They also justify the fairness of certain procedures and distributions, or explain why a policy is socially optimal. And yet, both the meaning of the concept of preference and its normative significance are highly contested by both social scientists and philosophers. My dissertation contributes to these longstanding disagreements by examining how epistemic, practical, and ethical commitments influence preference-based modeling in the social sciences. It does so using two case studies: revealed preference approaches and market design. I defend a revealed preference interpretation of preferences where preference is defined in entirely behavioral terms. Here I oppose a widespread consensus that revealed preferences cannot explain an agent s choices. So-called actualist revealed preferences, which summarize agents actual choices, do explain those choices, on an unificationist 7 of 8

account of explanation. So-called hypothetical revealed preferences, which represent agents behavioral dispositions, explain agents choices, according to an interventionist account of explanation. The key claim driving both arguments concerns the value of abstraction in the social sciences. Sometimes, abstracting away from the particular psychological processes in individuals provides a more powerful model of the outcomes at the social level. I also examine the notion of preference in welfare economics, using the case study of matching mechanisms, which is a subfield of market design. Welfare economists are often painted as pure preference utilitarians, but this picture is at odds with economic practice. I argue that economists are right to design matching mechanisms according to normative goals, such as the promotion of individuals justified claims to their preferred outcome (so-called justified envy-freeness), affirmative action, or employment outcomes. Furthermore, I argue that they should do so more systematically, by incorporating reasons into their models. 8 of 8