Here are 100 books that How Data Happened fans have personally recommended if you like
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I’ve been fascinated by information technology since I was a child–whether in the form of books, libraries, computers, or cell phones! Living through a massive expansion in the volume of data, I believe it is essential to study the long history of information to make sense of our current data-driven times–which is why I became a historian of data, which I teach and write about full time. Here are some of the most informative and insightful books that have helped me make sense of our issues, ranging from information overload and artificial intelligence to privacy and data justice.
How and why do states keep secrets? Soll provides powerful and, at times, surprising answers to this question by turning to the absolutist governments of early modern Europe, and specifically the administrator Jean-Baptiste Colbert.
As the key minister of state under King Louis XIV, Colbert built a powerful system of information collection and control that, in many ways, anticipated the modern national security state. If you want to make sense of government collection of data and state secrecy today, Soll’s book is a must-read.
Jean-Baptiste Colbert saw governance of the state not as the inherent ability of the king, but as a form of mechanical mastery of subjects such as medieval legal history, physics, navigation, and the price lists of nails, sails, and gunpowder. In The Information Master, Jacob Soll shows how the legacy of Colbert's encyclopedic tradition lies at the very center of the rise of the modern state.
This innovative book argues that Colbert's practice of collecting knowledge originated in Renaissance Italy, where merchants recognized the power to be gained from merging scholarship and trade. By connecting historical literatures-archives, libraries, merchant techniques,…
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
I’ve been fascinated by information technology since I was a child–whether in the form of books, libraries, computers, or cell phones! Living through a massive expansion in the volume of data, I believe it is essential to study the long history of information to make sense of our current data-driven times–which is why I became a historian of data, which I teach and write about full time. Here are some of the most informative and insightful books that have helped me make sense of our issues, ranging from information overload and artificial intelligence to privacy and data justice.
Today, archives are places where we go to research and learn about the past. But as Popper’s fascinating book shows, in the sixteenth and seventeenth centuries, governments used archives like we use computers and databases today as facilities for storing information they considered immediately relevant to solving political problems.
Just like we use computers today, governments mobilized archives to collect, organize, and redeploy information to advance their specific policy objectives. While the early modern world might seem quite distant from our own, Popper shows us that the problem of using information to exert political power is a very old one.
An exploration of the proliferation of paper in early modern Britain and its far-reaching effects on politics and society.
We are used to thinking of ourselves as living in a time when more information is more available than ever before. In The Specter of the Archive, Nicholas Popper shows that earlier eras had to grapple with the same problem-how to deal with too much information at their fingertips.
He reveals that early modern Britain was a society newly drowning in paper, a light and durable technology whose spread allowed statesmen to record drafts, memoranda, and other ephemera that…
I’ve been fascinated by information technology since I was a child–whether in the form of books, libraries, computers, or cell phones! Living through a massive expansion in the volume of data, I believe it is essential to study the long history of information to make sense of our current data-driven times–which is why I became a historian of data, which I teach and write about full time. Here are some of the most informative and insightful books that have helped me make sense of our issues, ranging from information overload and artificial intelligence to privacy and data justice.
How do citizens learn to accept violence perpetuated by their own governments? Answering this profoundly relevant and timely question lies at the heart of Linstrum’s book–and data lies at the crux of the answer. He shows how, despite massive amounts of data about colonial violence circulating in postwar Britain, British people found ways to accommodate and justify that violence.
This book is a sobering challenge to the belief that better information produces better and more empathetic societies, showing that the connection between knowledge and enlightened behavior is not nearly as straightforward as we may want to believe.
An eye-opening account of how violence was experienced not just on the frontlines of colonial terror but at home in imperial Britain.
When uprisings against colonial rule broke out across the world after 1945, Britain responded with overwhelming and brutal force. Although this period has conventionally been dubbed "postwar," it was punctuated by a succession of hard-fought, long-running conflicts that were geographically diffuse, morally ambiguous, and impervious to neat endings or declarations of victory. Ruthless counterinsurgencies in Malaya, Kenya, and Cyprus rippled through British society, molding a home front defined not by the mass mobilization of resources, but by sentiments…
A poisonous maiden, a Daoist sex cult, and a violent insurgency.
The polyandrous Yan family in China's rural Shaanxi Province takes in two carpenter brothers. When one brother is convicted of murder after killing their neighbor in a dispute, a constable threatens to expose the family's rumored polyandry and extorts…
I’ve been fascinated by information technology since I was a child–whether in the form of books, libraries, computers, or cell phones! Living through a massive expansion in the volume of data, I believe it is essential to study the long history of information to make sense of our current data-driven times–which is why I became a historian of data, which I teach and write about full time. Here are some of the most informative and insightful books that have helped me make sense of our issues, ranging from information overload and artificial intelligence to privacy and data justice.
If you love NPR as much as I do, then this is the book for you! Shepperd tells the fascinating story of how public radio came into being in the US during the mid-twentieth century–and how public radio played a crucial role in defining Americans’ expectations about what they have the right to know about their government’s activities.
If you want to make sense of the historical relationship between democracy and data, then this is the book for you!
Winner of the 2024 BEA Book Award Runner-up in the History Division of the Association for Education in Journalism and Mass Communication (AEJMC) Runner-up for the AJHA Book of the Year (American Journalism Historians Association).
Despite uncertain beginnings, public broadcasting emerged as a noncommercial media industry that transformed American culture. Josh Shepperd looks at the people, institutions, and influences behind the media reform movement and clearinghouse the National Association of Educational Broadcasters (NAEB) in the drive to create what became the Public Broadcasting Service and National Public Radio.
Founded in 1934, the NAEB began as a disorganized collection of undersupported…
I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.
This book helped me understand why advances in artificial intelligence are going to have a big impact on productivity and economic growth. I loved the analogies to old technologies like electrification of factories, and newer examples like how Team New Zealand used simulations to change racing tactics and boat design.
The book has an important, big idea at its heart. That idea is that AI helps organizations make better predications, and those better predictions allow organizations to be fundamentally redesigned to take advantage of this. This is where the AI productivity revolution comes from.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI…
I’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I am laughing out loud, even now that I am rereading this book for the umpteenth time. Fraudsters are so clever, and so is advertising. And then there is sloppy journalism with its “wow” statistics.
I like his book enormously, not least because of its witty illustrations. It is subversive, comic, and provocative, and it makes me wise to seductive, misleading practices–and it does so with a light touch.
From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statistics and explains how they're used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Big Ideas... For Small Businesses
by
John Lamerton,
Big Ideas… for Small Businesses is a straight-talking, no-nonsense guide to growing a small business without sacrificing your lifestyle. Written by a former civil servant turned entrepreneur, the book challenges hustle culture and instead champions the idea of an "ambitious lifestyle business" - one that provides freedom and financial stability,…
I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.
'A statistical national treasure' Jeremy Vine, BBC Radio 2
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way…
I taught for 45 years at Ithaca College broken by two years as Fulbright Professor in West Africa at the University of Liberia. During my years in academia, I developed several new courses including a popular “Math in Africa” class and the first U.S. course for college credit in chess theory. I’ve always had a passion for and continue to have strong interests in (1) national educational and social issues concerning equal access to math education for all and (2) teaching others about the power of mathematics and statistics to help one more deeply understand social issues.
Statistics is shown to be anything but dry in this book, as using wit, intuition, and clarity, the author shows how statistical concepts relate to everyday life.
He is able to separate important ideas from overly technical details, hence the title, Naked Statistics. I took many of his approaches to heart in my teaching. Wheelan gives many examples of how using readily available data yields deep inferences about the world we live in.
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
My passion for visions and pathways to a better world is based on three main cornerstones: (1) The discontent with the current state of affairs in our immediate cultural environment as well as in geopolitics. (2) My belief is that successful action needs visions, including scientific visions. (3) The experience that visions interact with their Implementation; they actually live by being put into (partial) existence. And since we are all parts of the same biological species, we are able to develop also via writing and reading.
László’s book is a masterpiece of interweaving exciting storytelling with prudent proposals for a new view on seemingly unexplainable ‘bursts’ of behavior. I like the sudden breaks in the text, which abruptly jump from focus to focus—this keeps me alert and induces me to invent my own overarching interpretation.
A new stage of understanding the manyfold links in our social world has to include sudden breaks in standard behavior—this is the main message that the eminent network researcher Barabasi has in store for me.
A revolutionary new theory showing how we can predict human behavior-from a radical genius and bestselling author
Can we scientifically predict our future? Scientists and pseudo scientists have been pursuing this mystery for hundreds and perhaps thousands of years. But now, astonishing new research is revealing patterns in human behavior previously thought to be purely random. Precise, orderly, predictable patterns...
In this captivating exploration into the patterns of human behavior, Albert-László Barabási unveils a groundbreaking theory that challenges the notion of randomness. Barabási, a world-renowned expert in the science of networks, delves into the intricacies of our digital world, revealing…
The problem is not with the actions young women take but with the toxic, sexist conditions they are responding to.
Tanenbaum found, based on six years of interviews with young people ages 14-30, that young women are navigating a culture littered with gendered dress codes, revenge porn, and sexually explicit…
I’m an applied statistician and academic researcher/lecturer at New Zealand’s oldest university – the University of Otago. R facilitates everything I do – research, academic publication, and teaching. It’s the latter part of my job that motivated my own book on R. From first-year statistics students who have never seen R to my own Ph.D. students using R to implement novel and highly complex statistical methods and models, my experience is that all ultimately love the ease with which the R language permits exploration, visualisation, analysis, and inference of one’s data. The ever-growing need in today’s society for skilled statisticians and data scientists means there's never been a better time to learn this essential language.
This provides a superb balance between technical aspects of R coding and the statistical methods that motivate its use. It's rare to find a book on topics like this that are written with Kabacoff's easygoing yet precise style, which makes it ideal for beginners. From my own experience, it is obvious the author has spent many years teaching this type of content, knowing where things deserve extra explanation up front and where other more technical details can be relegated to more advanced texts.
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
R in Action, Second Edition is language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps…
