Authors Aram Sinnreich and Jesse Gilbert discuss their book 'The Secret Life of Data' exploring data's impact, ethical challenges of algorithmic surveillance, and the need for public involvement in shaping data policies. They advocate for 'slow fixes' to address the consequences of digitization on society.

The beginning of the modern contraceptive era began in 1882, when Dr. Aletta Jacobs opened the first birth control clinic in Amsterdam. The founding of this facility, and the clinical provision of contraception that it enabled, marked the moment when physicians started to take the prevention of pregnancy seriously as a medical concern. In Contraception: A Concise History (The MIT Press, 2020), Donna Drucker traces the history of modern contraception, outlining the development, manufacturing, and use of contraceptive methods from the opening of Dr. Jacobs's clinic to the present. Drucker approaches the subject from the perspective of reproductive justice: the right to have a child, the right not to have a child, and the right to parent children safely and healthily.Drucker describes contraceptive methods available before the pill, including the diaphragm (dispensed at the Jacobs clinic) and condom, spermicidal jellies, and periodic abstinences. She looks at the development and dissemination of the pill and its chemical descendants; describes technological developments in such non-hormonal contraceptives as the cervical cap and timing methods (including the “rhythm method” favored by the Roman Catholic church); and explains the concept of reproductive justice. Finally, Drucker considers the future of contraception—the adaptations of existing methods, new forms of distribution, and ongoing efforts needed to support contraceptive accessDr. Donna Drucker leads the English as the Language for Instruction Project, which helps faculty, administrative staff, scientific staff, and students at the Technische Universität Darmstadt (Germany) improve their English abilities for teaching and learning.Chris Babits is an Andrew W. Mellon Engaged Scholar Initiative Postdoctoral Fellow at the University of Texas at Austin. He researches the intersecting histories of medicine, religion, and gender and sexuality and is currently working on his book about the history of conversion therapy in the United States. 

A nuanced, science-based understanding of the creative mind that dispels the pervasive myths we hold about the human brain—but also uncovers the truth at their cores. What is the relationship between creativity and madness? Creativity and intelligence? Do psychedelics truly enhance creativity? How should we understand the left and right hemispheres of the brain? Is the left brain, in fact, the seat of reasoning and the right brain the seat of creativity? These are just some of the questions Anna Abraham, a renowned expert of human creativity and the imagination, explores in The Creative Brain: Myths and Truths (MIT Press, 2024), a fascinating deep dive into the origins of the seven most common beliefs about the human brain. Rather than endorse or debunk these myths, Abraham traces them back to their origins to explain just how they started and why they spread—and what at their core is the truth. Drawing on theoretical and empirical work in cognitive psychology and neuroscience, Abraham offers an examination of human creativity that reveals the true complexity underlying our conventional beliefs about the brain. The chapters in the book explore the myth of the right brain as the hemisphere responsible for creativity; the relationship between madness and creativity, psychedelics and creativity, atypical brains and creativity, and intelligence and creativity; the various functions of dopamine; and lastly, the default mode revolution, which theorized that the brain regions most likely to be involved in the creative process are those areas of the brain that are most active during rest or mind-wandering. An accessible and engaging read, The Creative Brain gets to the heart of how our creative minds work and why some people are more creative than others, offering illuminating insights into what on its surface seems to be an endlessly magical phenomenon.Jeff Adler is an ex-linguist and occasional contributor to New Books Network!

A probing examination of the dynamic history of predictive methods and values in science and engineering that helps us better understand today's cultures of prediction.The ability to make reliable predictions based on robust and replicable methods is a defining feature of the scientific endeavor, allowing engineers to determine whether a building will stand up or where a cannonball will strike. Cultures of Prediction: How Engineering and Science Evolve with Mathematical Tools (MIT Press, 2024), which bridges history and philosophy, uncovers the dynamic history of prediction in science and engineering over four centuries. Ann Johnson and Johannes Lenhard identify four different cultures, or modes, of prediction in the history of science and engineering: rational, empirical, iterative-numerical, and exploratory-iterative. They show how all four develop together and interact with one another while emphasizing that mathematization is not a single unitary process but one that has taken many forms.The story is not one of the triumph of abstract mathematics or technology but of how different modes of prediction, complementary concepts of mathematization, and technology coevolved, building what the authors call “cultures of prediction.” The first part of the book examines prediction from early modernity up to the computer age. The second part probes computer-related cultures of prediction, which focus on making things and testing their performance, often in computer simulations. This new orientation challenges basic tenets of the philosophy of science, in which scientific theories and models are predominantly seen as explanatory rather than predictive. It also influences the types of research projects that scientists and engineers undertake, as well as which ones receive support from funding agencies.Nikki Stevens, PhD is a critical technology researcher and software engineer. Find more of their work here.

Today’s book is: More Than A Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2024), by Meredith Broussard. When technology reinforces inequality, it's not just a glitch—it's a signal that we need to redesign our systems to create a more equitable world. The word “glitch” implies an incidental error, as easy to patch up as it is to identify. But what if racism, sexism, and ableism aren't just bugs in mostly functional machinery? What if they're coded into the system itself? Meredith Broussard demonstrates in More Than a Glitch how neutrality in tech is a myth and why algorithms need to be held accountable. Broussard, a data scientist and one of the few Black female researchers in artificial intelligence, masterfully synthesizes concepts from computer science and sociology. She explores a range of examples: from facial recognition technology trained only to recognize lighter skin tones, to mortgage-approval algorithms that encourage discriminatory lending, to the dangerous feedback loops that arise when medical diagnostic algorithms are trained on insufficiently diverse data. Even when such technologies are designed with good intentions, Broussard shows, fallible humans develop programs that can result in devastating consequences. Broussard argues that the solution isn't to make omnipresent tech more inclusive, but to root out the algorithms that target certain demographics as “other” to begin with. With sweeping implications for fields ranging from jurisprudence to medicine, the ground-breaking insights of More Than a Glitch are essential reading for anyone invested in building a more equitable future.Our guest is: Meredith Broussard, who is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech, and Artificial Unintelligence: How Computers Misunderstand the World. Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.Our host is: Dr. Christina Gessler, the producer of the Academic Life podcast. She holds a PhD in history, which she uses to explore what stories we tell and what happens to those we never tell.Welcome to Academic Life, the podcast for your academic journey—and beyond! Join us again to learn from more experts inside and outside the academy, and around the world. You can help support the show by downloading, sharing, posting about, or assigning any of our 200+ episodes.

In The Green Power of Socialism: Wood, Forest, and the Making of Soviet Industrially Embedded Ecology (MIT Press, 2024), Elena Kochetkova examines the relationship between nature and humans under state socialism by looking at the industrial role of Soviet forests. The book explores evolving Soviet policies of wood consumption, discussing how professionals working in the forestry industry of the Soviet state viewed the present and future of forests by considering them both a natural resource and a trove of industrial material. The book also discusses how post-Soviet industry has abandoned these socialist practices and the idea of nature as a complicated ecosystem that provides a crucial service to society. Within the context of the current environmental crisis, the book invites readers to reevaluate state socialism as a complex phenomenon with sophisticated interactions between nature and industry. In so doing, it contributes a fresh perspective on the activities of socialist experts and their view of nature, shedding light on Soviet state industrial and environmental policy and its continuing legacy in the present day.Elena Kochetkova is Associate Professor in Modern European Economic History at the Department of Archeology, History, Cultural Studies and Religion at the University of Bergen. She served as a Secretary of the European Society of Environmental History from 2019 to 2021.Ailin Zhou is a PhD student in Film & Digital Media at University of California, Santa Cruz. Her research interests include transnational Chinese cinema, Asian diasporic visual culture, contemporary art, and feminist and queer theories.

Melancholy Wedgwood (MIT Press, 2024) is an experimental biography of the ceramics entrepreneur Josiah Wedgwood that reveals the tenuous relationship of eighteenth-century England to late-capitalist modernity. It traces the multiple strands in the life of the ceramic entrepreneur Josiah Wedgwood (1730–1795) to propose an alternative view of eighteenth-century England's tenuous relationship to our own lives and times, amid the ruins of late-capitalist modernity. Through intimate vignettes and essays, and in writing at turns funny, sharp, and pensive, Iris Moon chips away at the mythic image of Wedgwood as singular genius, business titan, and benevolent abolitionist, revealing an amorphous, fragile, and perhaps even shattered life. In the process the book goes so far as to dismantle certain entrenched social and economic assumptions, not least that the foundational myths of capitalism might not be quite so rosy after all, and instead induce a feeling that could only be characterized as blue.Iris Moon is Associate Curator in the European Sculpture and Decorative Arts Department at the Metropolitan Museum of Art. She is the author of Luxury after the Terror and coeditor with Richard Taws of Time, Media, and Visuality in Post-Revolutionary France. She teaches at the Cooper Union for the Advancement of Science and Art.Rachel Pafe is a writer and researcher interested in modern Jewish thought, critical theories of mourning, and the boundaries of biographical writing.

What isn't counted doesn't count. And mainstream institutions systematically fail to account for feminicide, the gender-related killing of women and girls, including cisgender and transgender women. Against this failure, Counting Feminicide: Data Feminism in Action (MIT Press, 2024) brings to the fore the work of data activists across the Americas who are documenting such murders—and challenging the reigning logic of data science by centering care, memory, and justice in their work. Drawing on Data Against Feminicide, a large-scale collaborative research project, Catherine D'Ignazio describes the creative, intellectual, and emotional labor of feminicide data activists who are at the forefront of a data ethics that rigorously and consistently takes power and people into account. This book is also a forceful intervention that challenges hegemonic data science by exploring the possibilities and limitations of counting and quantification and drawing lessons for a restorative and transformative data science.This book is available open access here. 

Educational analytics tend toward aggregation, asking what a “normative” learner does. In The Left Hand of Data: Designing Education Data for Justice (MIT Press, 2024, open access at this link), educational researchers Matthew Berland and Antero Garcia start from a different assumption—that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should not be about enforcing and entrenching norms but about using data science to break new ground and enable play and creativity. From this speculative vantage point, they ask how we can go about living alongside data in a better way, in a more just way, while also building on the existing technologies and our knowledge of the present.The Left Hand of Data explores the many ways in which we use data to shape the possible futures of young people—in schools, in informal learning environments, in colleges, in libraries, and with educational games. It considers the processes by which students are sorted, labeled, categorized, and intervened upon using the bevy of data extracted and collected from individuals and groups, anonymously or identifiably. When, how, and with what biases are these data collected and utilized? What decisions must educational researchers make around data in an era of high-stakes assessment, surveillance, and rising inequities tied to race, class, gender, and other intersectional factors? How are these complex considerations around data changing in the rapidly evolving world of machine learning, AI, and emerging fields of educational data science? The surprising answers the authors discover in their research make clear that we do not need to wait for a hazy tomorrow to do better today.Jen Hoyer is Technical Services and Electronic Resources Librarian at CUNY New York City College of Technology. Jen edits for Partnership Journal and organizes with the TPS Collective. She is co-author of What Primary Sources Teach: Lessons for Every Classroom and The Social Movement Archive.

What are the tactics needed for a world of platforms and algorithms? In Algorithms of Resistance: The Everyday Fight against Platform Power (MIT Press, 2024), Tiziano Bonini, Associate Professor in Sociology of Culture and Communication at the University of Siena, and Emiliano Treré, a Reader in Data Agency and Media Ecologies at Cardiff University, examine the impact of platforms and algorithms on people, communities, and global social life. The book explores these issues using three case studies of gig work, culture, and politics. At its heart, the book demonstrates the potential for transforming the seeming total control of platforms and algorithms through the tactics and strategies of workers, artists, and social movements. The book is essential reading across humanities, social sciences, and computing, as well as for anyone interested in contemporary digital life. The book is available open access here.