Here are 100 books that Superior fans have personally recommended if you like
Superior.
Shepherd is a community of 10,000+ authors and super readers sharing their favorite books with the world.
Shepherd is reader supported. When you buy books, we may earn an affiliate commission.
Ever since I first visited a prison during college and was shocked by its horrific conditions, I’ve been fascinated with America’s punitiveness—our tolerance for harsh, dehumanizing punishments. I pursued a Ph.D. in criminology in order to better understand the politics of crime and justice. I am constantly searching for “political space” within which to pursue meaningful criminal justice reform without provoking a punitive backlash. I was previously an associate professor of sociology at the University of Massachusetts Boston, and I am now a lecturer in criminology at the National University of Ireland Maynooth.
I loved The Sum of Us because it tells the political and economic history of race relations and investment in public infrastructure, benefits, and services in a readable and accessible manner.
McGhee recounts shocking stories of the ways that, in the midst of the Civil Rights Movement, hundreds of communities across the United States—governed by White people—chose to close or bulldoze public amenities like pools, parks, and campgrounds rather than desegregate them.
This is a sad story of the way that a generation of White Americans cut off their own nose to spite their face. In the decades since, more and more local amenities because privatized and fee-based, making it harder for poor and working-class people of all races to enjoy their communities.
NEW YORK TIMES BESTSELLER • LONGLISTED FOR THE NATIONAL BOOK AWARD • One of today’s most insightful and influential thinkers offers a powerful exploration of inequality and the lesson that generations of Americans have failed to learn: Racism has a cost for everyone—not just for people of color.
WINNER OF THE PORCHLIGHT BUSINESS BOOK AWARD • ONE OF THE BEST BOOKS OF THE YEAR: Time, The Washington Post, St. Louis Post-Dispatch, Ms. magazine, BookRiot, Library Journal
“This is the book I’ve been waiting for.”—Ibram X. Kendi, #1 New York Times bestselling author of How to Be an Antiracist
I grew up with digital technologies. It was the 1990s. Things could only get better. Or so we were told… I went to study computer science at Cambridge in the 2000s. Switched subjects a few times, and ended up with a degree in the history and philosophy of science. By the time I graduated, life had changed. The world economy was on the brink of collapse, China was on its way to becoming a superpower, and right-wing nationalism was on the rise. That experience absolutely shaped me as a historian and writer. The world of science and technology suddenly seemed a lot more politically fraught.
This is a rare book. It is written by a philosopher. It can be read in an afternoon. And it will change your life. Forget your next self-help book. Read this instead. In Stand Out of Our Light, James Williams gives a straightforward (but extremely satisfying) account of the digital ‘attention economy’ and what is wrong with it. Williams used to work for Google, before he realised that things weren’t quite right. After all, the world built by big technology companies isn’t the one many of us would choose.
Former Google advertising strategist, now Oxford-trained philosopher James Williams launches a plea to society and to the tech industry to help ensure that the technology we all carry with us every day does not distract us from pursuing our true goals in life. As information becomes ever more plentiful, the resource that is becoming more scarce is our attention. In this 'attention economy', we need to recognise the fundamental impacts of our new information environment on our lives in order to take back control. Drawing on insights ranging from Diogenes to contemporary tech leaders, Williams's thoughtful and impassioned analysis is…
I’ve devoted my career to helping people achieve their potential and improve their wellbeing. One of the greatest challenges we’re all facing today is the highly unnatural world of work in which we all must perform. I’ve been fortunate both to lead large teams in this environment and to guide the Fortune 1000 on how to help their people thrive in its midst. Achieving sustainable peak performance requires that we understand what we are up against. This book list is a great place to start!
Kai-Fu Lee, once himself an AI pioneer, wrote AI Superpowers to help non-technical readers understand how and why AI is changing our world, with an emphasis on how it’s reshaping work. Lee breaks down which types of jobs are most vs. least likely to be replaced by AI, and offers wisdom on which skills it makes sense for all of us to lean into given those shifts. He also offers clear-eyed predictions about the potential for AI innovations to reshape global politics.
I enjoyed this book from page one. Lee’s prose is crisp and his points sharp. I appreciated his occasional meanderings into humanistic realms. This also feels like a personal book, given how much Lee himself has done to accelerate the AI revolution.
THE NEW YORK TIMES, USA TODAY, AND WALL STREET JOURNAL BESTSELLER
"Kai-Fu Lee believes China will be the next tech-innovation superpower and in AI Superpowers: China, Silicon Valley, and the New World Order, he explains why. Taiwan-born Lee is perfectly positioned for the task."-New York Magazine
In this thought-provoking book, Lee argues powerfully that because of the unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come…
My own experience on Facebook piqued my interest in digital photography and social media. My emotional response to what I saw there ran the gamut from super anxious or angry to happy and even optimistic. As a scholar of religion with some expertise in traditional media and photography, I wanted to know why and how so I could respond better. I turned to experts in these new technologies – particularly those who write good books aimed at curious people, not just their peers! – for help. I learned a lot from these books and I’m confident you will, too!
I rarely think about why I see what I see online. Yes, I know algorithms had something to do with it, but they’re just algebra on steroids, right? Well, not so fast!
This book opened my eyes to how and why bias – in this case, racial bias – shows up online and what we can do about it. I learned a lot about the intricate connections between our online lives and our real ones.
A revealing look at how negative biases against women of color are embedded in search engine results and algorithms
Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society.
In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search…
I grew up with digital technologies. It was the 1990s. Things could only get better. Or so we were told… I went to study computer science at Cambridge in the 2000s. Switched subjects a few times, and ended up with a degree in the history and philosophy of science. By the time I graduated, life had changed. The world economy was on the brink of collapse, China was on its way to becoming a superpower, and right-wing nationalism was on the rise. That experience absolutely shaped me as a historian and writer. The world of science and technology suddenly seemed a lot more politically fraught.
Everyone hates bureaucracy. But no one hated it quite like the late David Graeber. Amongst all of Graeber’s intoxicating books, this is my favourite. Utopia of Rules finally made me understand what exactly was so pernicious about bureaucracy. (Short version: it does the opposite of what it promises.) Graeber also sets out, with typical lucid prose, how new technologies, particularly digital technologies, are making everything even worse.
From the author of the international bestseller Debt: The First 5,000 Years comes a revelatory account of the way bureaucracy rules our lives
Where does the desire for endless rules, regulations, and bureaucracy come from? How did we come to spend so much of our time filling out forms? And is it really a cipher for state violence?
To answer these questions, the anthropologist David Graeber—one of our most important and provocative thinkers—traces the peculiar and unexpected ways we relate to bureaucracy today, and reveals how it shapes our lives in ways we may not even notice…though he also suggests…
Studying anthropology and biology in the 1970s, I was in the perfect position to understand why race was not genetic. From that time on, I wanted everyone to know what race was and was not. But here we a half century later and most individuals in the US – and the world – still believe that race is a valid way to divide individuals into biological groups, and worse, that race, rather than racism, explains differences in life circumstances. As a professor and president of the American Anthropological Association I have taught courses and helped with documentaries, museum exhibits, websites, articles, and books to dispel consequential myth about race and genetics.
The late Stephen Gould is as important as anyone in the last fifty years in showing how the idea of biological race has been used to support racism. Gould clearly dismantles this idea in this book. It is both a tour de force of science and scientific history, so well written that one forgets one is reading a scholarly book. Gould takes apart key moments in the history of race science, not just to show where they were biased, but how those biases and blind spots persist into the present. This is the definitive book on why biological race is a myth and why there is no hierarchy of intelligence by race.
When published in 1981, The Mismeasure of Man was immediately hailed as a masterwork, the ringing answer to those who would classify people, rank them according to their supposed genetic gifts and limits.
And yet the idea of innate limits-of biology as destiny-dies hard, as witness the attention devoted to The Bell Curve, whose arguments are here so effectively anticipated and thoroughly undermined by Stephen Jay Gould. In this edition Dr. Gould has written a substantial new introduction telling how and why he wrote the book and tracing the subsequent history of the controversy on innateness right through The Bell…
I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.
This book is now 50 years old, but its message is as relevant and important now as when it was written. In a series of witty essays that border on rants, Andreski attacks much of social science as fluff obscured by technical jargon and methodology. In particular, he laments the growth of quantitative methods as an attempt to add objectivity to social science and make it appear “harder.” True objectivity is about more than mechanical number-crunching, he says; it’s about a commitment to fairness and resisting the temptations of wishful thinking – a challenge anyone who works with data concerning people and their lives should take seriously.
"Seldom have the social sciences been subject to quite so comprehensive, yet non-partisan, attack. There can be little doubt SOCIAL SCIENCES AS SORCERY is an uncomfortably important and embarassingly comprehensive book." -- Times Literary Supplement "Liberating!" -- Harpers "Andreski has written a new book that is certain to enrage his colleagues ... He documents his charges and spares few of the luminaries of social science in the process." -- TIME Magazine
I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.
People need less Dawkins in their lives and more Lewontin, whose thought-provoking, accessible writing about evolutionary biology stands in fierce opposition to the trend toward genetic determinism that seems to be the rage nowadays. We are not simply our genes, Lewontin says, because the effects DNA has on our lives are mediated by social and environmental factors, many of which we can influence. While it’s nominally about biology, I also read this as a critique of causal inference, generally. What we consider a “cause” reveals our ideological commitments to certain aspects of the world being maintained, and we should be careful what causal lessons we draw from data.
Following in the fashion of Stephen Jay Gould and Peter Medawar, one of the world's leading scientists examines how "pure science" is in fact shaped and guided by social and political needs and assumptions.
I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.
The thing you should know about science is that it’s a human enterprise. As a result, it’s dependent on human factors like social consensus and prejudice. In this series of case studies of famously expensive and difficult-to-replicate experiments probing the limits of scientific understanding from biology to theoretical physics, Collins and Pinch show how scientific knowledge gathering is rarely straightforward because there are always alternative explanations available for the data. Was the phenomenon real or was the experiment set up badly? We can never know for sure, but we decide collectively what we believe. Scientists are experts participating in human culture, they argue, not mysterious clergy issuing declarations of absolute truth.
Harry Collins and Trevor Pinch liken science to the Golem, a creature from Jewish mythology, powerful yet potentially dangerous, a gentle, helpful creature that may yet run amok at any moment. Through a series of intriguing case studies the authors debunk the traditional view that science is the straightforward result of competent theorisation, observation and experimentation. The very well-received first edition generated much debate, reflected in a substantial new Afterword in this second edition, which seeks to place the book in what have become known as 'the science wars'.
I studied statistics and data science for years before anyone ever suggested to me that these topics might have an ethical dimension, or that my numerical tools were products of human beings with motivations specific to their time and place. I’ve since written about the history and philosophy of mathematical probability and statistics, and I’ve come to understand just how important that historical background is and how critically important it is that the next generation of data scientists understand where these ideas come from and their potential to do harm. I hope anyone who reads these books avoids getting blinkered by the ideas that data = objectivity and that science is morally neutral.
If you’ve never thought of “intersectional feminism” or “the gender binary” as essentially data-scientific terms, please allow this book to correct that. Data science is a locus of power, and that power can be wielded in the service of oppression or liberation. This book raises essential questions about the predominantly white, male, technocratic interests served by the traditional narratives of data analysis and what feminism and data science have to offer each other. Bottom line: the data doesn’t speak for itself, never has, and never will.
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism.
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In…
Interested in
eugenics,
cultural anthropology,
and
race?
10,000+ authors have recommended their favorite books and what they love about them.
Browse their picks for the best books about
eugenics,
cultural anthropology,
and
race.
