The MIT Press Podcast

Myra Strober became a feminist on the Bay Bridge, heading toward San Francisco. It is 1970. She has just been told by the chairman of Berkeley's economics department that she can never get tenure. Driving home afterward, wondering if she got something out of the freezer for her family's dinner, she realizes the truth: she is being denied a regular faculty position because she is a mother. Flooded with anger, she also finds her life's work: to study and fight sexism, in the workplace, in academia, and at home.Strober's memoir Sharing the Work captures the spirit of a revolution lived fully, from her Brooklyn childhood (and her shock at age twelve when she's banished to the women's balcony at shul) to her groundbreaking Stanford seminar on women and work. Strober's interest in women and work began when she saw her mother's frustration at the limitations of her position as a secretary. Her consciousness of the unfairness of the usual distribution of household chores came when she unsuccessfully asked her husband for help with housework. Later, when a group of conservative white male professors sputtered at the idea of government-subsidized child care, Strober made the case for its economic benefits.In the 1970s, the term "sexual harassment" had not yet been coined. Occupational segregation, quantifying the value of work in the home, and the cost of discrimination were new ideas. Strober was a pioneer, helping to create a new academic field and founding institutions to establish it. But she wasn't alone: she benefited from the women's movement, institutional change, and new federal regulations that banned sex discrimination. She continues the work today and invites us to join her.Myra Strober is a labor economist. She is Professor (Emerita) at the Graduate School of Education at Stanford University, and Professor of Economics at Stanford’s Graduate School of Business (by courtesy). She is the coauthor of The Road Winds Uphill All the Way: Gender, Work, and Family in the United States and Japan (MIT Press).

In 1936, when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers. This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision, Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader. Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the non-specialist. As Marvin Minsky writes, "The sheer simplicity of the theory's foundation and extraordinary short path from this foundation to its logical and surprising conclusions give the theory a mathematical beauty that alone guarantees it a permanent place in computer theory." Bernhardt begins with the foundation and systematically builds to the surprising conclusions. He also views Turing's theory in the context of mathematical history, other views of computation (including those of Alonzo Church), Turing's later work, and the birth of the modern computer.In the paper, "On Computable Numbers, with an Application to the Entscheidungsproblem," Turing thinks carefully about how humans perform computation, breaking it down into a sequence of steps, and then constructs theoretical machines capable of performing each step. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable. To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.Chris Bernhardt is Professor of Mathematics at Fairfield University.

What it means when media moves from the new to the habitual--when our bodies become archives of supposedly obsolescent media, streaming, updating, sharing, saving.New media--we are told--exist at the bleeding edge of obsolescence. We thus forever try to catch up, updating to remain the same. Meanwhile, analytic, creative, and commercial efforts focus exclusively on the next big thing: figuring out what will spread and who will spread it the fastest. But what do we miss in this constant push to the future? In Updating to Remain the Same, Wendy Hui Kyong Chun suggests another approach, arguing that our media matter most when they seem not to matter at all--when they have moved from "new" to habitual. Smart phones, for example, no longer amaze, but they increasingly structure and monitor our lives. Through habits, Chun says, new media become embedded in our lives--indeed, we become our machines: we stream, update, capture, upload, link, save, trash, and troll.Chun links habits to the rise of networks as the defining concept of our era. Networks have been central to the emergence of neoliberalism, replacing "society" with groupings of individuals and connectable "YOUS." (For isn't "new media" actually "NYOU media"?) Habit is central to the inversion of privacy and publicity that drives neoliberalism and networks. Why do we view our networked devices as "personal" when they are so chatty and promiscuous? What would happen, Chun asks, if, rather than pushing for privacy that is no privacy, we demanded public rights--the right to be exposed, to take risks and to be in public and not be attacked?Wendy Hui Kyong Chun, who has studied both systems design and English literature, is Professor of Modern Culture and Media at Brown University. She is the author of Control and Freedom: Power and Paranoia in the Age of Fiber Optics and Programmed Visions: Software and Memory, both published by the MIT Press.

Armed conflict and natural disasters have plagued the twenty-first century. Not since the end of World War II has the number of armed conflicts been higher. At the same time, natural disasters have increased in frequency and intensity over the past two decades, their impacts worsened by climate change, urbanization, and persistent social and economic inequalities. Providing the first comprehensive analysis of the interplay between natural disasters and armed conflict, Catastrophes, Confrontations, and Constraints: How Disasters Shape the Dynamics of Armed Conflicts (MIT Press, 2023) explores the extent to which disasters facilitate the escalation or abatement of armed conflicts—as well as the ways and contexts in which combatants exploit these catastrophes.Tobias Ide utilizes both qualitative insights and quantitative data to explain the link between disasters and the (de-)escalation of armed conflict and presents over thirty case studies of earthquakes, droughts, floods, and storms in Africa, the Middle East, Asia, and Latin America. He also examines the impact of COVID-19 on armed conflicts in Iraq, Afghanistan, Nigeria, and the Philippines.Catastrophes, Confrontations, and Constraints is an invaluable addition to current debates on climate change, environmental stress, and security. Professionals and students will greatly appreciate the wealth of timely data it provides for their own investigations.Dr. Tobias Ide is a Senior Lecturer in Politics and International Relations at Murdoch University in Perth, Australia. His work broadly focuses on the intersections of environmental change and environmental politics with peace, conflict, and security.Sidney Michelini is a PhD student at the Potsdam Institute for Climate Impact Research with the FutureLab - Security, Ethnic Conflicts and Migration. His work focuses on how climate, climate shocks, and climate change impact conflicts of different types.

Drone Warfare is the first comprehensive analysis of one of the fastest growing--and most secretive--fronts in global conflict: the rise of robot warfare. In 2000, the Pentagon had fewer than fifty aerial drones; ten years later, it had a fleet of nearly 7,500, and the US Air Force now trains more drone "pilots" than bomber and fighter pilots combined. Drones are already a $5 billion business in the US alone. The human cost? Drone strikes have killed more than 200 children alone in Pakistan and Yemen.CODEPINK and Global Exchange cofounder Medea Benjamin provides the first extensive analysis of who is producing the drones, where they are being used, who controls these unmanned planes, and what are the legal and moral implications of their use. In vivid, readable style, this book also looks at what activists, lawyers, and scientists across the globe are doing to ground these weapons. Benjamin argues that the assassinations we are carrying out from the air will come back to haunt us when others start doing the same thing--to us.Hugh Gusterson is Professor of Anthropology and International Affairs at George Washington University. He is the author of Nuclear Rites and People of the Bomb: Portraits of America’s Nuclear Complex.

In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng dig into the data behind sports with two experts: Brian Macdonald, sports analytics at Yale (formerly Carnegie Mellon University) and Kirk Goldsberry, NBA analyst at ESPN and author of Sprawlball: A Visual Tour of the New era of the NBA.This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.

In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng discuss fake news, disinformation, and misinformation with Scott Tranter, CEO and founder of Optimus Analytics, and Hany Farid, a professor from UC Berkeley who specializes in the analysis of digital images and is the author of two MIT Press books: Fake Photos and Photo Forensics.This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform. 

What does data science tell us about art auctions? This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng discuss art auctions with art curator Dan Cameron and Artnome’s Jason Bailey.If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.

Over the last half century, "smartness"—the drive for ubiquitous computing—has become a mandate: a new mode of managing and governing politics, economics, and the environment. Smart phones. Smart cars. Smart homes. Smart cities. The imperative to make our world ever smarter in the face of increasingly complex challenges raises several questions: What is this "smartness mandate"? How has it emerged, and what does it say about our evolving way of understanding—and managing—reality? How have we come to see the planet and its denizens first and foremost as data-collecting instruments? In The Smartness Mandate (MIT Press, 2023), Orit Halpern and Robert Mitchell radically suggest that "smartness" is not primarily a technology, but rather an epistemology. Through this lens, they offer a critical exploration of the practices, technologies, and subjects that such an understanding relies upon—above all, artificial intelligence and machine learning. Orit Halpern is Lighthouse Professor and Chair of Digital Cultures and Societal Change at Technische Universität Dresden.Robert Mitchell is Professor of English at Duke University.Caleb Zakarin is the Assistant Editor of the New Books Network.

Featured episode from Between Art and Science, a new podcast from Leonardo.This episode, hosted by Erica Hruby, features a conversation between two authors published in the Leonardo special issue “Cosmos and Chaos:” Bettina Forget and Lindy Elkins-Tanton. Listen as these authors discuss the connection between art and science, the flawed idea of the hero, exploration of both land and space, and the complexities of being a woman in male dominated fields.