Here are 100 books that A Student's Guide to Open Science fans have personally recommended if you like
A Student's Guide to Open Science.
Book DNA is a community of 12,000+ authors and super readers sharing their favorite books with the world.
I am the Fletcher Jones Professor of Economics at Pomona College. I started out as a macroeconomist but, early on, discovered stats and stocks—which have long been fertile fields for data torturing and data mining. My book, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics is a compilation of a variety of dubious and misleading statistical practices. More recently, I have written several books on AI, which has a long history of overpromising and underdelivering because it is essentially data mining on steroids. No matter how loudly statisticians shout correlation is not causation, some will not hear.
Ritchie was part of a team that attempted to replicate a famous study led by a prominent psychologist, Daryl Bem, claiming that people did better on a word memorization test if they studied the words after taking the test.
Ritchie and his co-authors attempted to replicate this study and found no evidence supporting Bem’s claim. This is but one example of a scientific crisis in that attempts to replicate influential studies published in top peer-reviewed journals fail nearly half the time. Ritchie explains and illustrates the reasons for the current replication crisis in science.
An insider’s view of science reveals why many scientific results cannot be relied upon – and how the system can be reformed.
Science is how we understand the world. Yet failures in peer review and mistakes in statistics have rendered a shocking number of scientific studies useless – or, worse, badly misleading. Such errors have distorted our knowledge in fields as wide-ranging as medicine, physics, nutrition, education, genetics, economics, and the search for extraterrestrial life. As Science Fictions makes clear, the current system of research funding and publication not only fails to safeguard us from blunders but actively encourages bad…
A moving story of love, betrayal, and the enduring power of hope in the face of darkness.
German pianist Hedda Schlagel's world collapsed when her fiancé, Fritz, vanished after being sent to an enemy alien camp in the United States during the Great War. Fifteen years later, in 1932, Hedda…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
You may have heard of ‘significance testing,’ and the magical ‘p < .05,’ which somehow makes a research result ‘significant,’ which is often taken as (almost) ‘true.’ Even if you haven’t heard of all that, Kline explains clearly why significance testing has been disastrous for science, leading to misleading conclusions and much valuable research not even being reported.
He draws on my work to explain how ‘the new statistics’ (estimation) is a much better way to understand results. The first chapter is fairly easy to read. Later chapters are also terrific but get more technical as Kline explains lots of ways to do things better. As I’m quoted on the back cover, “Read this book and see the future!” Happily, the future is increasingly looking as Kline recommended.
Traditional education in statistics that emphasises significance testing leaves researchers and students ill prepared to understand what their results really mean. Specifically, most researchers and students who do not have strong quantitative backgrounds have difficulty understanding outcomes of statistical tests.
As more and more people become aware of this problem, the emphasis on statistical significance in the reporting of results is declining. Increasingly, researchers are expected to describe the magnitudes and precisions of their findings and also their practical, theoretical, or clinical significance.
This accessibly written book reviews the controversy about significance testing, which has now crossed various disciplines as…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Yes, this is a textbook, but if you are seeking a research design and methods text for psychology or a related discipline, this is easily my top choice.
There are lots of references to topical stories to keep everything relevant for students. There’s a truckload of valuable stuff online to support both teachers and learners. This fourth edition is right up-to-the-moment, Chapter 3 especially so, as it explains three types of scientific claims, and four types of validity that researchers should aim to achieve. That may sound forbidding, but Morling’s examples and explanations are pleasingly accessible.
Featuring an emphasis on future consumers of psychological research and examples drawn from popular media, Research Methods in Psychology: Evaluating a World of Information develops students' critical-thinking skills as they evaluate information in their everyday lives. The Fourth Edition of this best-selling text takes learning to a new level for both consumers and producers by offering new content, interactive learning, and online assessment to help them master the concepts.
Sine, a professor of creative writing, accompanies Sam, a neuroscientist, on a conference trip to a Hotel Castle. Sam wants to present a new device, the "monitor." Sine hopes to recover from tending to her mother who just passed away.
When they arrive, Sine is in a dream-like state. Real…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Another research design textbook, this one more specifically about neuroscience. My co-author, neuroscientist Robert Calin-Jageman, highly recommends it.
This third edition has clear and up-to-date discussions of issues such as phacking and publication bias that emphasise the need for Open Science. There’s a focus on effect sizes and confidence intervals, as in the new statistics. The book also describes strategies needed to enhance the rigor and reproducibility of neuroscience research.
Using engaging prose, Mary E. Harrington introduces neuroscience students to the principles of scientific research including selecting a topic, designing an experiment, analyzing data, and presenting research. This new third edition updates and clarifies the book's wealth of examples while maintaining the clear and effective practical advice of the previous editions. New and expanded topics in this edition include techniques such as optogenetics and conditional transgenes as well as a discussion of rigor and reproducibility in neuroscience research. Extended coverage of descriptive and inferential statistics arms readers with the analytical tools needed to interpret data. Throughout, practical guidelines are provided…
I’ve always loved unreliable narrators and how they place us as readers into the role of detectives, piecing the "truth" of a story together. The narrators I’ve picked below vary in their intent: some deliberately deceive, and others do so unconsciously or through omission. In several, the twist hinges on the use of an unreliable narrator, while in others, narrative unreliability poses a moral dilemma for the reader. In a few, an added layer of unreliability emerges: the narrator’s perception is distorted by technology. In an age of AI, simulations, and deep fakes, the unreliable narrator is arguably more needed than ever, holding a mirror up to the unreliability of our own world.
I find it interesting when first-person unreliable narrators pose a moral dilemma for the reader: how far we sympathise with a character who may or may not be culpable of a crime.
From the very opening of the novel, we are told, "Tonight will be my first night under house arrest." Ruth Ardingly has just been released from prison to serve out a sentence of house arrest for arson and suspected murder (after the death of her seven-year-old grandson) at her farm, The Well. Returning to The Well, Ruth must piece together the tragedy that shattered her marriage and tore her family apart, amid the backdrop of a drought-ridden country, where, miraculously, The Well has water.
The novel is told retrospectively by Grandmother Ruth, whose narrative reliability is impacted by both memory and grief.
AN OBSERVER NEW FACE OF FICTION 2015 A HUFFINGTON POST 'ONE TO WATCH IN 2015'
LONGLISTED FOR THE CWA JOHN CREASEY (NEW BLOOD) DAGGER 2015
'I was gripped by Catherine Chanter's The Well immediately. The beauty of her prose is riveting, the imagery so assured. This is an astonishing debut' Sarah Winman, author of When God was a Rabbit
'I loved this book!' JESSIE BURTON, author of The Miniaturist
When Ruth Ardingly and her family first drive up from London in their grime-encrusted car and view The Well, they are enchanted by a…
I am proud to be a human (social) scientist but think that we could collectively achieve a much more successful human science enterprise. And I believe that a better human science would translate into better public policy. Most human scientists focus on their own research, paying little attention to how the broader enterprise functions. I have written many works of a methodological nature over the years. I am pleased to point here to a handful of works with sound advice for enhancing the human science enterprise.
Though this book focuses on psychology, it has lessons for all social sciences.
Chambers, like me, is critical of certain practices and yet deeply respectful of what has been accomplished. He devotes much of his attention to the problem of confirmation bias. We as humans are more likely to accept results that conform to prior beliefs.
Journals are also more likely to publish such results. Scholars play with their findings, adding or removing data points to achieve a target level of statistical significance. The result is that we are often more confident in scholarly consensus than we should be. Chambers explains complex ideas clearly, and is passionate about the need for reform.
Why psychology is in peril as a scientific discipline-and how to save it
Psychological science has made extraordinary discoveries about the human mind, but can we trust everything its practitioners are telling us? In recent years, it has become increasingly apparent that a lot of research in psychology is based on weak evidence, questionable practices, and sometimes even fraud. The Seven Deadly Sins of Psychology diagnoses the ills besetting the discipline today and proposes sensible, practical solutions to ensure that it remains a legitimate and reliable science in the years ahead. In this unflinchingly candid manifesto, Chris Chambers shows how…
In an age of splendor, a heretic king strips Egypt bare—forcing his queen to quell rebellion and plunging his children into a conspiracy against the crown.
Salvation in the Sun follows Nefertiti as she ascends the throne beside Pharaoh Amenhotep—soon to become Akhenaten—just as he declares war on Egypt’s ancient…
While growing up as a budding intellectual, two of my passions were social science (in other words, politics), and natural science, particularly biology. For decades, I thought of those as two unconnected fields of knowledge. I studied politics in my professional capacity as a government professor, and I read nature and wildlife studies as a hobby. Then, one day in 2000, I picked up a copy of a book by Stephen J. Gould, a Harvard paleontologist. It struck me that in every sentence he was combining science and politics. It was an on-the-road-to-Damascus moment. Since then, I have studied and written about the politics of evolution.
A Marxist critique of evolutionary biology, authored by a geneticist, a neuroscientist, and a psychologist. From a perspective about as far from the viewpoint of creationists as it is possible to get, these three scholars argue that the philosophical assumptions, methodology, and social organization of modern biology add up to a politically conservative conspiracy reinforcing capitalism, racism, classism, and misogyny. Although their attack is general, it is most specifically aimed at intelligence testing, which, they argue, is shoddy science in the service of racist ideology.
Not in our Genes systematically exposes and dismantles the claims that inequalities class, race, gender are the products of biological, genetic inheritances. 'Informative, entertaining, lucid, forceful, frequently witty... never dull... should be read and remembered for a long time.' - New York Times Book Review. 'The authors argue persuasively that biological explanations for why we act as we do are based on faulty (in some cases, fabricated) data and wild speculation... It is debunking at its best.' - Psychology Today
I love playing music and games, helping others in therapy, being a father and husband, among other things. It’s taken me some time to figure out how to not only stay on top of them all, but to enjoy myself along the way. The answer to doing so is about finding and guiding play in work. Picasso's statement rings true: "Every child is an artist. The problem is how to remain an artist once he grows up." Mastery and feelings of success flow when work is imbued with play. As a psychoanalyst and now as a writer, I work with both clients and readers to help them find meaning and mastery in the day-to-day.
Ahrens opened up my eyes to a method of building on, diving into, and creating notes without them getting lost. I love feeling productive whether I agree or disagree with something. I now have a way to connect my ideas together and gather them when creating articles, books, and courses. It didn't use to be fun to take notes, but now it is since I know I can get back to and update things for however long I like without ever feeling obligated to them.
This is the second, revised and expanded edition. The first edition was published under the slightly longer title "How to Take Smart Notes. One Simple Technique to Boost Writing, Learning and Thinking - for Students, Academics and Nonfiction Book Writers".
The key to good and efficient writing lies in the intelligent organisation of ideas and notes. This book helps students, academics and other knowledge workers to get more done, write intelligent texts and learn for the long run. It teaches you how to take smart notes and ensure they bring you and your projects forward. The Take Smart Notes principle…
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…
Born the heir of a master woodcutter in a queendom defined by guilds and matrilineal inheritance, nonbinary Sorin can’t quite seem to find their place. At seventeen, an opportunity to attend an alchemical guild fair and secure an apprenticeship with the…
As an attorney, former TV broadcaster, and workplace consultant, I’ve devoted my career to empowering women and confronting systemic inequities. My passion stems from personal experience navigating the complexities of workplace harassment, which inspired me to write my book and guide others through similar challenges. I am continually drawn to books that illuminate the hidden power structures and offer practical tools for resilience, empowerment, and self-advocacy. The works on this list have profoundly shaped my perspective, providing inspiration and clarity in both my professional and personal journey. I hope they resonate with you as deeply as they have with me.
This book completely reframed how I see the world. Perez dives into the pervasive gender data gaps that impact everything from workplace policies to public health. Her meticulous research and compelling examples made me realize how much of our world is designed without women in mind. It’s equal parts infuriating and enlightening, and it left me determined to question systems that perpetuate inequality.
This book is a must-read for anyone who wants to understand the hidden ways gender bias shapes our lives.
Winner of the 2019 Financial Times and McKinsey Business Book of the Year Award Winner of the 2019 Royal Society Science Book Prize
Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives.
