Dear Data

Dear Data
Author: Giorgia Lupi,Stefanie Posavec
Publsiher: Chronicle Books
Total Pages: 289
Release: 2016-09-13
ISBN 10: 1616895462
ISBN 13: 9781616895464
Language: EN, FR, DE, ES & NL

Dear Data Book Review:

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.

Dear Data

Dear Data
Author: Giorgia Lupi
Publsiher: Particular Books
Total Pages: 304
Release: 2016-09-01
ISBN 10: 9781846149061
ISBN 13: 1846149061
Language: EN, FR, DE, ES & NL

Dear Data Book Review:

From an award-winning project comes an inspiring, collaborative book that makes data artistic, personal - and open to all Each week for a year, Giorgia and Stefanie sent each other a postcard describing what had happened to them during that week around a particular theme. But they didn't write it, they drew it: a week of smiling, a week of apologies, a week of desires. Presenting their fifty-two cards, along with thoughts and ideas about the data-drawing process, Dear Data hopes to inspire you to draw, slow down and make connections with other people, to see the world through a new lens, where everything and anything can be a creative starting point for play and expression.

Dear Data

Dear Data
Author: Giorgia Lupi,Stefanie Posavec
Publsiher: Princeton Architectural Press
Total Pages: 288
Release: 2016-09-06
ISBN 10: 9781616895327
ISBN 13: 1616895322
Language: EN, FR, DE, ES & NL

Dear Data Book Review:

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.

Observe Collect Draw

Observe  Collect  Draw
Author: Giorgia Lupi
Publsiher: Unknown
Total Pages: 135
Release: 2018-09-25
ISBN 10: 9781616897147
ISBN 13: 1616897147
Language: EN, FR, DE, ES & NL

Observe Collect Draw Book Review:

A guided journal with a fresh approach to the trendof journal-as-tool-for-self-examination. The journal is delightfully illustrated in the authors' trademark style-- accessible, whimsical, detailed. Blending inspiring examples with engaging instruction, this journal asks: What do we learn about ourselves when we measure our gratitude, confidence, and distraction levels? What do our collections say about who we are: our books, music, the clothes we wear? Observe, Collect, Draw! functions as a mini-course in information design, as accessible to beginners as it is engaging to seasoned info designers.

Dear Data Postcard Kit

Dear Data Postcard Kit
Author: Giorgia Lupi,Stefanie Posavec
Publsiher: Unknown
Total Pages: 135
Release: 2017-09-12
ISBN 10: 9781616896324
ISBN 13: 1616896329
Language: EN, FR, DE, ES & NL

Dear Data Postcard Kit Book Review:

Data Sketches

Data Sketches
Author: Nadieh Bremer,Shirley Wu
Publsiher: CRC Press
Total Pages: 428
Release: 2021-02-09
ISBN 10: 0429816820
ISBN 13: 9780429816826
Language: EN, FR, DE, ES & NL

Data Sketches Book Review:

In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively. Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right. This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write-ups, with beginner-friendly explanations of core data visualization concepts Practical lessons based on the data and design challenges overcome during each project Full-color pages, showcasing all 24 final data visualizations This book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.

I Am a Book I Am a Portal to the Universe

I Am a Book  I Am a Portal to the Universe
Author: Stefanie Posavec,Miriam Quick
Publsiher: Particular Books
Total Pages: 112
Release: 2020-09-03
ISBN 10: 9780241408759
ISBN 13: 024140875X
Language: EN, FR, DE, ES & NL

I Am a Book I Am a Portal to the Universe Book Review:

Hello. I am a book. But I'm also a portal to the universe. I have 112 pages, measuring twenty centimetres high and twenty centimetres wide. I weigh 450 grams. And I have the power to show you the wonders of the world.

Data Science in Education Using R

Data Science in Education Using R
Author: Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez
Publsiher: Routledge
Total Pages: 284
Release: 2020-10-26
ISBN 10: 1000200906
ISBN 13: 9781000200904
Language: EN, FR, DE, ES & NL

Data Science in Education Using R Book Review:

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

The Comic Book Guide to Growing Food

The Comic Book Guide to Growing Food
Author: Joseph Tychonievich
Publsiher: Ten Speed Press
Total Pages: 176
Release: 2021-02-02
ISBN 10: 1984857274
ISBN 13: 9781984857279
Language: EN, FR, DE, ES & NL

The Comic Book Guide to Growing Food Book Review:

The first graphic novel guide to growing a successful raised bed vegetable garden, from planning, prepping, and planting, to troubleshooting, care, and harvesting. “A fun read packed with practical advice, it’s the perfect resource for new gardeners, guiding you through every step to plant, grow, and harvest a thriving and productive food garden.”—Joe Lamp’l, founder and creator of the Online Gardening Academy Like having your own personal gardening mentor at your side, The Comic Book Guide to Growing Food is the story of Mia, an eager young professional who wants to grow her own vegetables but doesn't know where to start, and George, her retired neighbor who loves gardening and walks her through each step of the process. Throughout the book, "cheat sheets" sum up George's key facts and techniques, providing a handy quick reference for anyone starting their first vegetable garden, including how to find the best location, which vegetables are easiest to grow, how to pick out the healthiest plants at the store, when (and when not) to water, how to protect your plants from pests, and what to do with extra produce if you grow too much. If you are a visual learner, beginning gardener, looking for something new, or have struggled to grow vegetables in the past, you'll find this unique illustrated format ideal because many gardening concepts--from proper planting techniques to building raised beds--are easier to grasp when presented visually, step by step. Easy and entertaining, The Comic Book Guide to Growing Food makes homegrown vegetables fun and achievable.

An Introduction to Statistical Learning

An Introduction to Statistical Learning
Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publsiher: Springer Science & Business Media
Total Pages: 426
Release: 2013-06-24
ISBN 10: 1461471389
ISBN 13: 9781461471387
Language: EN, FR, DE, ES & NL

An Introduction to Statistical Learning Book Review:

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Disrupting Data Governance

Disrupting Data Governance
Author: Laura B. Madsen
Publsiher: Technics Publications
Total Pages: 180
Release: 2019-12-06
ISBN 10: 1634626559
ISBN 13: 9781634626552
Language: EN, FR, DE, ES & NL

Disrupting Data Governance Book Review:

Data governance is broken. It’s time we fix it. Why is data governance so ineffective? The truth is data governance programs aren’t designed for the way we run our data teams, they aren’t even designed for a modern organization at all. They were designed when reports still came through inter-office mail. The flow of data into, within, and out of today’s organizations is a tsunami breaking through rigid data governance methods. Yet our programs still rely on that command and control approach. Have you ever tried to control a tsunami? Every organization that uses data knows that they need a data governance program. Data literacy efforts and legislation like GDPR have become the bellwethers for our governance functions. But we still sit in data governance meetings without enough people and too many questions to move things forward. There’s no agility to the program because we imply a degree of frailty to the data that doesn’t exist. We continue to insist on archaic methods that bring no value to our organizations. Achieving deep insights from data can’t happen without good governance practices. All indicators point to the need to create a resilient and responsive data governance function. Where we go from here, and how we achieve success in data governance requires a radically different way. The hard truth: it’s time to challenge everything we know about data governance. Laura Madsen shows you how to redefine governance for the modern age. With a casual, witty style Madsen taps on her decades of experience, shares interviews with other best-in-field experts and grounds her perspective in research. Witness where it all fell apart, challenge long-held beliefs, and commit to a fundamental shift—that governance is not about stopping or preventing usage but about supporting the usage of data. Be able to bring back trust and value to our data governance functions, and learn the: · People-driven approach to governance · Processes that support the tsunami of data · Cutting edge technology that’s enabling data governance

Dear Science and Other Stories

Dear Science and Other Stories
Author: Katherine McKittrick
Publsiher: Duke University Press
Total Pages: 224
Release: 2020-12-14
ISBN 10: 1478012579
ISBN 13: 9781478012573
Language: EN, FR, DE, ES & NL

Dear Science and Other Stories Book Review:

In Dear Science and Other Stories Katherine McKittrick presents a creative and rigorous study of black and anticolonial methodologies. Drawing on black studies, studies of race, cultural geography, and black feminism as well as a mix of methods, citational practices, and theoretical frameworks, she positions black storytelling and stories as strategies of invention and collaboration. She analyzes a number of texts from intellectuals and artists ranging from Sylvia Wynter to the electronica band Drexciya to explore how narratives of imprecision and relationality interrupt knowledge systems that seek to observe, index, know, and discipline blackness. Throughout, McKittrick offers curiosity, wonder, citations, numbers, playlists, friendship, poetry, inquiry, song, grooves, and anticolonial chronologies as interdisciplinary codes that entwine with the academic form. Suggesting that black life and black livingness are, in themselves, rebellious methodologies, McKittrick imagines without totally disclosing the ways in which black intellectuals invent ways of living outside prevailing knowledge systems.

What Algorithms Want

What Algorithms Want
Author: Ed Finn
Publsiher: MIT Press
Total Pages: 257
Release: 2017-03-10
ISBN 10: 0262035928
ISBN 13: 9780262035927
Language: EN, FR, DE, ES & NL

What Algorithms Want Book Review:

The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

Dare to Lead

Dare to Lead
Author: Brené Brown
Publsiher: Random House
Total Pages: 320
Release: 2018-10-09
ISBN 10: 0399592520
ISBN 13: 9780399592522
Language: EN, FR, DE, ES & NL

Dare to Lead Book Review:

#1 NEW YORK TIMES BESTSELLER • Brené Brown has taught us what it means to dare greatly, rise strong, and brave the wilderness. Now, based on new research conducted with leaders, change makers, and culture shifters, she’s showing us how to put those ideas into practice so we can step up and lead. Look for Brené Brown’s new podcast, Dare to Lead, as well as her ongoing podcast Unlocking Us! NAMED ONE OF THE BEST BOOKS OF THE YEAR BY BLOOMBERG Leadership is not about titles, status, and wielding power. A leader is anyone who takes responsibility for recognizing the potential in people and ideas, and has the courage to develop that potential. When we dare to lead, we don’t pretend to have the right answers; we stay curious and ask the right questions. We don’t see power as finite and hoard it; we know that power becomes infinite when we share it with others. We don’t avoid difficult conversations and situations; we lean into vulnerability when it’s necessary to do good work. But daring leadership in a culture defined by scarcity, fear, and uncertainty requires skill-building around traits that are deeply and uniquely human. The irony is that we’re choosing not to invest in developing the hearts and minds of leaders at the exact same time as we’re scrambling to figure out what we have to offer that machines and AI can’t do better and faster. What can we do better? Empathy, connection, and courage, to start. Four-time #1 New York Times bestselling author Brené Brown has spent the past two decades studying the emotions and experiences that give meaning to our lives, and the past seven years working with transformative leaders and teams spanning the globe. She found that leaders in organizations ranging from small entrepreneurial startups and family-owned businesses to nonprofits, civic organizations, and Fortune 50 companies all ask the same question: How do you cultivate braver, more daring leaders, and how do you embed the value of courage in your culture? In this new book, Brown uses research, stories, and examples to answer these questions in the no-BS style that millions of readers have come to expect and love. Brown writes, “One of the most important findings of my career is that daring leadership is a collection of four skill sets that are 100 percent teachable, observable, and measurable. It’s learning and unlearning that requires brave work, tough conversations, and showing up with your whole heart. Easy? No. Because choosing courage over comfort is not always our default. Worth it? Always. We want to be brave with our lives and our work. It’s why we’re here.” Whether you’ve read Daring Greatly and Rising Strong or you’re new to Brené Brown’s work, this book is for anyone who wants to step up and into brave leadership.

The Infographic

The Infographic
Author: Murray Dick
Publsiher: MIT Press
Total Pages: 248
Release: 2020-04-21
ISBN 10: 0262043823
ISBN 13: 9780262043823
Language: EN, FR, DE, ES & NL

The Infographic Book Review:

An exploration of infographics and data visualization as a cultural phenomenon, from eighteenth-century print culture to today's data journalism. Infographics and data visualization are ubiquitous in our everyday media diet, particularly in news—in print newspapers, on television news, and online. It has been argued that infographics are changing what it means to be literate in the twenty-first century—and even that they harmonize uniquely with human cognition. In this first serious exploration of the subject, Murray Dick traces the cultural evolution of the infographic, examining its use in news—and resistance to its use—from eighteenth-century print culture to today's data journalism. He identifies six historical phases of infographics in popular culture: the proto-infographic, the classical, the improving, the commercial, the ideological, and the professional. Dick describes the emergence of infographic forms within a wider history of journalism, culture, and communications, focusing his analysis on the UK. He considers their use in the partisan British journalism of late eighteenth and early nineteenth-century print media; their later deployment as a vehicle for reform and improvement; their mass-market debut in the twentieth century as a means of explanation (and sometimes propaganda); and their use for both ideological and professional purposes in the post–World War II marketized newspaper culture. Finally, he proposes best practices for news infographics and defends infographics and data visualization against a range of criticism. Dick offers not only a history of how the public has experienced and understood the infographic, but also an account of what data visualization can tell us about the past.

We Are Data

We Are Data
Author: John Cheney-Lippold
Publsiher: NYU Press
Total Pages: 320
Release: 2017-05-02
ISBN 10: 1479802441
ISBN 13: 9781479802449
Language: EN, FR, DE, ES & NL

We Are Data Book Review:

What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline. Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.

Storytelling with Data

Storytelling with Data
Author: Cole Nussbaumer Knaflic
Publsiher: John Wiley & Sons
Total Pages: 448
Release: 2019-10-22
ISBN 10: 1119621496
ISBN 13: 9781119621492
Language: EN, FR, DE, ES & NL

Storytelling with Data Book Review:

Influence action through data! This is not a book. It is a one-of-a-kind immersive learning experience through which you can become—or teach others to be—a powerful data storyteller. Let’s practice! helps you build confidence and credibility to create graphs and visualizations that make sense and weave them into action-inspiring stories. Expanding upon best seller storytelling with data’s foundational lessons, Let’s practice! delivers fresh content, a plethora of new examples, and over 100 hands-on exercises. Author and data storytelling maven Cole Nussbaumer Knaflic guides you along the path to hone core skills and become a well-practiced data communicator. Each chapter includes: ● Practice with Cole: exercises based on real-world examples first posed for you to consider and solve, followed by detailed step-by-step illustration and explanation ● Practice on your own: thought-provoking questions and even more exercises to be assigned or worked through individually, without prescribed solutions ● Practice at work: practical guidance and hands-on exercises for applying storytelling with data lessons on the job, including instruction on when and how to solicit useful feedback and refine for greater impact The lessons and exercises found within this comprehensive guide will empower you to master—or develop in others—data storytelling skills and transition your work from acceptable to exceptional. By investing in these skills for ourselves and our teams, we can all tell inspiring and influential data stories!

Sharing Clinical Trial Data

Sharing Clinical Trial Data
Author: Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
Publsiher: National Academies Press
Total Pages: 304
Release: 2015-04-20
ISBN 10: 0309316324
ISBN 13: 9780309316323
Language: EN, FR, DE, ES & NL

Sharing Clinical Trial Data Book Review:

Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research--from funders, to researchers, to journals, to physicians, and ultimately, to patients.

The Lion the Witch and the Wardrobe

The Lion  the Witch  and the Wardrobe
Author: C.S. Lewis
Publsiher: Wyatt North Publishing, LLC
Total Pages: 101
Release: 2018-04-10
ISBN 10: 1928374650XXX
ISBN 13: 9182736450XXX
Language: EN, FR, DE, ES & NL

The Lion the Witch and the Wardrobe Book Review:

C. S. Lewis was a British author, lay theologian, and contemporary of J.R.R. Tolkien. The Lion, the Witch, and the Wardrobe is the first book in The Chronicles of Narnia.

A City Is Not a Computer

A City Is Not a Computer
Author: Shannon Mattern
Publsiher: Princeton University Press
Total Pages: 200
Release: 2021-08-10
ISBN 10: 069122675X
ISBN 13: 9780691226750
Language: EN, FR, DE, ES & NL

A City Is Not a Computer Book Review:

A bold reassessment of "smart cities" that reveals what is lost when we conceive of our urban spaces as computers Computational models of urbanism—smart cities that use data-driven planning and algorithmic administration—promise to deliver new urban efficiencies and conveniences. Yet these models limit our understanding of what we can know about a city. A City Is Not a Computer reveals how cities encompass myriad forms of local and indigenous intelligences and knowledge institutions, arguing that these resources are a vital supplement and corrective to increasingly prevalent algorithmic models. Shannon Mattern begins by examining the ethical and ontological implications of urban technologies and computational models, discussing how they shape and in many cases profoundly limit our engagement with cities. She looks at the methods and underlying assumptions of data-driven urbanism, and demonstrates how the "city-as-computer" metaphor, which undergirds much of today's urban policy and design, reduces place-based knowledge to information processing. Mattern then imagines how we might sustain institutions and infrastructures that constitute more diverse, open, inclusive urban forms. She shows how the public library functions as a steward of urban intelligence, and describes the scales of upkeep needed to sustain a city's many moving parts, from spinning hard drives to bridge repairs. Incorporating insights from urban studies, data science, and media and information studies, A City Is Not a Computer offers a visionary new approach to urban planning and design.