School of Humanities and Sciences
Showing 2,161-2,180 of 5,804 Results
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Blair Hoxby
Professor of English
BioBlair Hoxby writes on literature and culture from 1500 to 1800. Two of his foremost interests are the commercial culture and the theatrical practices of the period. Mammon's Music: Literature and Economics in the Age of Milton (New Haven: Yale University Press, 2002) examines the impact of the commercial revolution on writings of major seventeenth-century poets such as Milton and Dryden. Together with Ann Coiro, he is editing a large multi-author collection of essays on Milton in the Long Restoration. Two of his new books nearing completion focus on tragic dramaturgy. What Is Tragedy? Theory and the Early Modern Canon seeks to free the early modern poetics of tragedy and the early modern theatrical repertoire from the expectations erected by the romantic and post-romantic philosophy of the tragic that has dominated tragic theory from Schelling to the present. Reading for the Passions: Performing Early Modern Tragedy argues that the passions, not deeds or character, hold the keys to early modern tragic performance.
Recent and forthcoming articles include Passion, for 21st-Century Approaches: Early Modern Theatricality, ed. Henry Turner (forthcoming, OUP); What Was Tragedy? The World We Have Lost, 1550-1795, Comparative Literature 64 (2012): 1-32; Allegorical Drama, in The Cambridge Companion to Allegory, ed. Rita Copeland and Peter Struck (Cambridge: Cambridge University Press, 2009); The Function of Allegory in Baroque Tragic Drama: What Benjamin Got Wrong, in Thinking Allegory Otherwise, ed. Brenda Machowsky (Stanford: Stanford University Press, 2009); and "Areopagitica and Liberty," in The Oxford Handbook of Milton, ed. Nicholas McDowell and Nigel Smith (Oxford: Oxford University Press, 2009). -
Caroline Hoxby
Scott and Donya Bommer Professor in the School of Humanities and Sciences, Senior Fellow at the Hoover Institution and at the Stanford Institute for Economic Policy Research and Professor, by courtesy, of Economics at the GSB
BioCaroline Hoxby is the Scott and Donya Bommer Professor of Economics at Stanford University, a Senior Fellow of the Hoover Institution, and the Director of the Economics of Education Program at the National Bureau of Economic Research. Before moving to Stanford, she was the Allie S. Fried Professor of Economics at Harvard University. A public and labor economist, Hoxby is one of the world's leading scholars in the Economics of Education. She is especially well known for promoting scientific methods in education research. She was the Principal Investigator of the Expanding College Opportunities project, which had dramatic effects on low-income, high achievers' college-going. For this project, recently received The Smithsonian Institution's Ingenuity Award. Some of the other research for which she is best known includes explaining the rising cost of higher education, the effects of school choice and charter schools on student achievement, and the effects of teacher unionization. She also writes on public school finance, peer effects, and how education affects economic growth. Her recent series of Tanner Lectures on Human Values (Berkeley) focuses on neuroscience and the cognitive skills of adolescents. She is a past Vice-President of the American Economic Association and the current Vice-President of the Western Economic Association International. Hoxby is a Fellow of the American Academy of Arts and Sciences, the British Academy, and the American Academy of Sciences and Letters. She is an award-winning instructor and advisor and is a Bass University Fellow in Undergraduate Education at Stanford University. Hoxby has a Ph.D. from MIT, studied at Oxford as a Rhodes Scholar, and obtained her baccalaureate degree summa cum laude from Harvard University.
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Hector Hoyos
Professor of Iberian and Latin American Cultures and, by courtesy, of Comparative Literature and of English
BioHéctor Hoyos is a scholar of modern Latin American and comparative literature. He writes about ideological critiques of globalization in the post-1989 Latin American novel, the articulation of critical theory and new materialism in the region’s cultural production, and related topics. His current monograph in progress examines the works of Gabriel García Márquez from a law and humanities perspective.
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Wanheng Hu
Postdoctoral Scholar, Philosophy
BioWanheng Hu is a scholar of Science and Technology Studies (STS) whose research examines the epistemic, ethical, and regulatory dimensions of artificial intelligence, with a particular focus on machine learning in medicine. His current book project, Reassembling Expertise: Credible Knowledge and Machine Learning in Medical Imaging, is an ethnographic study of the Chinese medical AI industry. Drawing on multi-sited fieldwork, the project analyzes how, and in what sense, human medical expertise is translated into AI systems and how the credibility of these systems is negotiated across industrial, clinical, and regulatory settings. His broader scholarship engages the social studies of science, medicine, and technology; the sociology of expertise; critical data and algorithm studies; media studies; and public engagement with science.
Wanheng is currently an Embedded Ethics Fellow at Stanford University’s McCoy Family Center for Ethics in Society, in partnership with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Computer Science. He is also an affiliate of the Data & Society Research Institute, a member of the Schwartz Reisman Institute’s AI & Trust Working Group at the University of Toronto, and a member of Cornell University’s Artificial Intelligence, Policy, and Practice (AIPP) initiative. He was previously a Fellow at Harvard Kennedy School’s Program on Science, Technology and Society (2022–23). He holds a Ph.D. in STS with a minor in Media Studies from Cornell University. His research has been supported by the U.S. National Science Foundation, the China Times Cultural Foundation, and Cornell’s Hu Shih Fellowship, among other sources, and has appeared in venues including Public Understanding of Science and The Oxford Handbook of the Sociology of Machine Learning.
