You Are a Data Person

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Publisher : Taylor & Francis
ISBN 13 : 1000978699
Total Pages : 134 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis You Are a Data Person by : Amelia Parnell

Download or read book You Are a Data Person written by Amelia Parnell and published by Taylor & Francis. This book was released on 2023-07-03 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internal and external pressure continues to mount for college professionals to provide evidence of successful activities, programs, and services, which means that, going forward, nearly every campus professional will need to approach their work with a data-informed perspective.But you find yourself thinking “I am not a data person”.Yes, you are. Or can be with the help of Amelia Parnell.You Are a Data Person provides context for the levels at which you are currently comfortable using data, helps you identify both the areas where you should strengthen your knowledge and where you can use this knowledge in your particular university role.For example, the rising cost to deliver high-quality programs and services to students has pushed many institutions to reallocate resources to find efficiencies. Also, more institutions are intentionally connecting classroom and cocurricular learning experiences which, in some instances, requires an increased gathering of evidence that students have acquired certain skills and competencies. In addition to programs, services, and pedagogy, professionals are constantly monitoring the rates at which students are entering, remaining enrolled in, and leaving the institution, as those movements impact the institution’s financial position.From teaching professors to student affairs personnel and beyond, Parnell offers tangible examples of how professionals can make data contributions at their current and future knowledge level, and will even inspire readers to take the initiative to engage in data projects.The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. It also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses.

You are a Data Person

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Publisher :
ISBN 13 : 9781642671384
Total Pages : 0 pages
Book Rating : 4.6/5 (713 download)

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Book Synopsis You are a Data Person by : Amelia R. Parnell

Download or read book You are a Data Person written by Amelia R. Parnell and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book includes a set of self-assessment questions and a companion set of action steps and available resources to help readers accept their identity as a data person. The project also includes an annotated list of at least 20 indicators that any higher education professional can examine without sophisticated data analyses"--

How We Became Our Data

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Publisher : University of Chicago Press
ISBN 13 : 022662658X
Total Pages : 281 pages
Book Rating : 4.2/5 (266 download)

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Book Synopsis How We Became Our Data by : Colin Koopman

Download or read book How We Became Our Data written by Colin Koopman and published by University of Chicago Press. This book was released on 2019-06-19 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are now acutely aware, as if all of the sudden, that data matters enormously to how we live. How did information come to be so integral to what we can do? How did we become people who effortlessly present our lives in social media profiles and who are meticulously recorded in state surveillance dossiers and online marketing databases? What is the story behind data coming to matter so much to who we are? In How We Became Our Data, Colin Koopman excavates early moments of our rapidly accelerating data-tracking technologies and their consequences for how we think of and express our selfhood today. Koopman explores the emergence of mass-scale record keeping systems like birth certificates and social security numbers, as well as new data techniques for categorizing personality traits, measuring intelligence, and even racializing subjects. This all culminates in what Koopman calls the “informational person” and the “informational power” we are now subject to. The recent explosion of digital technologies that are turning us into a series of algorithmic data points is shown to have a deeper and more turbulent past than we commonly think. Blending philosophy, history, political theory, and media theory in conversation with thinkers like Michel Foucault, Jürgen Habermas, and Friedrich Kittler, Koopman presents an illuminating perspective on how we have come to think of our personhood—and how we can resist its erosion.

Dear Data

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Publisher : Chronicle Books
ISBN 13 : 1616895462
Total Pages : 304 pages
Book Rating : 4.6/5 (168 download)

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Book Synopsis Dear Data by : Giorgia Lupi

Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Big Data

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Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Big Data at Work

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Publisher : Harvard Business Review Press
ISBN 13 : 1422168174
Total Pages : 241 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Big Data at Work by : Thomas Davenport

Download or read book Big Data at Work written by Thomas Davenport and published by Harvard Business Review Press. This book was released on 2014-02-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

Storytelling with Data

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Publisher : John Wiley & Sons
ISBN 13 : 1119002265
Total Pages : 284 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic and published by John Wiley & Sons. This book was released on 2015-10-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Data Science for Business

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 506 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

How to Talk About Books You Haven't Read

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Publisher : Bloomsbury Publishing USA
ISBN 13 : 1596917148
Total Pages : 129 pages
Book Rating : 4.5/5 (969 download)

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Book Synopsis How to Talk About Books You Haven't Read by : Pierre Bayard

Download or read book How to Talk About Books You Haven't Read written by Pierre Bayard and published by Bloomsbury Publishing USA. This book was released on 2010-08-10 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this delightfully witty, provocative book, literature professor and psychoanalyst Pierre Bayard argues that not having read a book need not be an impediment to having an interesting conversation about it. (In fact, he says, in certain situations reading the book is the worst thing you could do.) Using examples from such writers as Graham Greene, Oscar Wilde, Montaigne, and Umberto Eco, he describes the varieties of "non-reading"-from books that you've never heard of to books that you've read and forgotten-and offers advice on how to turn a sticky social situation into an occasion for creative brilliance. Practical, funny, and thought-provoking, How to Talk About Books You Haven't Read-which became a favorite of readers everywhere in the hardcover edition-is in the end a love letter to books, offering a whole new perspective on how we read and absorb them.

Listening to People

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Publisher : University of Chicago Press
ISBN 13 : 022680660X
Total Pages : 334 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis Listening to People by : Annette Lareau

Download or read book Listening to People written by Annette Lareau and published by University of Chicago Press. This book was released on 2021-07-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will help you: Understand the importance of talking to others, including listening to feedback from others while conducting research Recognize that there is not only one right way to sculpt your study Learn how to plan the early stages of a project such as designing the study and choosing whom to study See how to navigate the IRB and how to perform practical matters while collecting data Learn how to plan before an interview and how to construct an interview guide Read real-life interviews with notes showing what probes work well and which are less successful A down-to-earth, practical guide for interview and participant observation and analysis. In-depth interviews and close observation are essential to the work of social scientists, but inserting one’s researcher-self into the lives of others can be daunting, especially early on. Esteemed sociologist Annette Lareau is here to help. Lareau’s clear, insightful, and personal guide is not your average methods text. It promises to reduce researcher anxiety while illuminating the best methods for first-rate research practice. As the title of this book suggests, Lareau considers listening to be the core element of interviewing and observation. A researcher must listen to people as she collects data, listen to feedback as she describes what she is learning, listen to the findings of others as they delve into the existing literature on topics, and listen to herself in order to sift and prioritize some aspects of the study over others. By listening in these different ways, researchers will discover connections, reconsider assumptions, catch mistakes, develop and assess new ideas, weigh priorities, ponder new directions, and undertake numerous adjustments—all of which will make their contributions clearer and more valuable. Accessibly written and full of practical, easy-to-follow guidance, this book will help both novice and experienced researchers to do their very best work. Qualitative research is an inherently uncertain project, but with Lareau’s help, you can alleviate anxiety and focus on success.

Data Visualization

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Publisher : Princeton University Press
ISBN 13 : 0691181624
Total Pages : 292 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Data Visualization by : Kieran Healy

Download or read book Data Visualization written by Kieran Healy and published by Princeton University Press. This book was released on 2018-12-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

R for Data Science

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Data for the People

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Publisher : Basic Books
ISBN 13 : 0465096530
Total Pages : 338 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis Data for the People by : Andreas Weigend

Download or read book Data for the People written by Andreas Weigend and published by Basic Books. This book was released on 2017-01-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: A long-time chief data scientist at Amazon shows how open data can make everyone, not just corporations, richer Every time we Google something, Facebook someone, Uber somewhere, or even just turn on a light, we create data that businesses collect and use to make decisions about us. In many ways this has improved our lives, yet, we as individuals do not benefit from this wealth of data as much as we could. Moreover, whether it is a bank evaluating our credit worthiness, an insurance company determining our risk level, or a potential employer deciding whether we get a job, it is likely that this data will be used against us rather than for us. In Data for the People, Andreas Weigend draws on his years as a consultant for commerce, education, healthcare, travel and finance companies to outline how Big Data can work better for all of us. As of today, how much we benefit from Big Data depends on how closely the interests of big companies align with our own. Too often, outdated standards of control and privacy force us into unfair contracts with data companies, but it doesn't have to be this way. Weigend makes a powerful argument that we need to take control of how our data is used to actually make it work for us. Only then can we the people get back more from Big Data than we give it. Big Data is here to stay. Now is the time to find out how we can be empowered by it.

Engaging Researchers with Data Management: The Cookbook

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Publisher : Open Book Publishers
ISBN 13 : 1783748001
Total Pages : 139 pages
Book Rating : 4.7/5 (837 download)

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Book Synopsis Engaging Researchers with Data Management: The Cookbook by : Connie Clare

Download or read book Engaging Researchers with Data Management: The Cookbook written by Connie Clare and published by Open Book Publishers. This book was released on 2019-10-09 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities. This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

Data Smog

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Publisher : Harper Collins
ISBN 13 : 0061844586
Total Pages : 360 pages
Book Rating : 4.0/5 (618 download)

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Book Synopsis Data Smog by : David Shenk

Download or read book Data Smog written by David Shenk and published by Harper Collins. This book was released on 2009-10-13 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Media scholar ( and Internet Enthusiast ) David Shenk examines the troubling effects of information proliferation on our bodies, our brains, our relationships, and our culture, then offers strikingly down-to-earth insights for coping with the deluge. With a skillful mixture of personal essay, firsthand reportage, and sharp analysis, Shenk illustrates the central paradox of our time: as our world gets more complex, our responses to it become increasingly simplistic. He draws convincing links between data smog and stress distraction, indecision, cultural fragmentation, social vulgarity, and more. But there's hope for a saner, more meaningful future, as Shenk offers a wealth of novel prescriptions—both personal and societal—for dispelling data smog.

The Person You Mean to Be

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Author :
Publisher : HarperCollins
ISBN 13 : 006269216X
Total Pages : 320 pages
Book Rating : 4.0/5 (626 download)

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Book Synopsis The Person You Mean to Be by : Dolly Chugh

Download or read book The Person You Mean to Be written by Dolly Chugh and published by HarperCollins. This book was released on 2018-09-04 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Finally: an engaging, evidence-based book about how to battle biases, champion diversity and inclusion, and advocate for those who lack power and privilege. Dolly Chugh makes a convincing case that being an ally isn’t about being a good person—it’s about constantly striving to be a better person.” —Adam Grant, New York Times bestselling author of Give and Take, Originals, and Option B with Sheryl Sandberg Foreword by Laszlo Bock, the bestselling author of Work Rules! and former Senior Vice President of People Operations at Google An inspiring guide from Dolly Chugh, an award-winning social psychologist at the New York University Stern School of Business, on how to confront difficult issues including sexism, racism, inequality, and injustice so that you can make the world (and yourself) better. Many of us believe in equality, diversity, and inclusion. But how do we stand up for those values in our turbulent world? The Person You Mean to Be is the smart, "semi-bold" person’s guide to fighting for what you believe in. Dolly reveals the surprising causes of inequality, grounded in the "psychology of good people". Using her research findings in unconscious bias as well as work across psychology, sociology, economics, political science, and other disciplines, she offers practical tools to respectfully and effectively talk politics with family, to be a better colleague to people who don’t look like you, and to avoid being a well-intentioned barrier to equality. Being the person we mean to be starts with a look at ourselves. She argues that the only way to be on the right side of history is to be a good-ish— rather than good—person. Good-ish people are always growing. Second, she helps you find your "ordinary privilege"—the part of your everyday identity you take for granted, such as race for a white person, sexual orientation for a straight person, gender for a man, or education for a college graduate. This part of your identity may bring blind spots, but it is your best tool for influencing change. Third, Dolly introduces the psychological reasons that make it hard for us to see the bias in and around us. She leads you from willful ignorance to willful awareness. Finally, she guides you on how, when, and whom, to engage (and not engage) in your workplaces, homes, and communities. Her science-based approach is a method any of us can put to use in all parts of our life. Whether you are a long-time activist or new to the fight, you can start from where you are. Through the compelling stories Dolly shares and the surprising science she reports, Dolly guides each of us closer to being the person we mean to be.

Data Feminism

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Author :
Publisher : MIT Press
ISBN 13 : 0262358530
Total Pages : 328 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Data Feminism by : Catherine D'Ignazio

Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2020-03-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.