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How lessons from kindergarten can help everyone develop the creative thinking skills needed to thrive in today's society. In kindergartens these days, children spend more time with math worksheets and phonics flashcards than building blocks and finger paint. Kindergarten is becoming more like the rest of school. In Lifelong Kindergarten, learning expert Mitchel Resnick argues for exactly the opposite: the rest of school (even the rest of life) should be more like kindergarten. To thrive in today's fast-changing world, people of all ages must learn to think and act creatively—and the best way to do that is by focusing more on imagining, creating, playing, sharing, and reflecting, just as children do in traditional kindergartens. Drawing on experiences from more than thirty years at MIT's Media Lab, Resnick discusses new technologies and strategies for engaging young people in creative learning experiences. He tells stories of how children are programming their own games, stories, and inventions (for example, a diary security system, created by a twelve-year-old girl), and collaborating through remixing, crowdsourcing, and large-scale group projects (such as a Halloween-themed game called Night at Dreary Castle, produced by more than twenty kids scattered around the world). By providing young people with opportunities to work on projects, based on their passions, in collaboration with peers, in a playful spirit, we can help them prepare for a world where creative thinking is more important than ever before.
Personalized newspapers, life-sized holograms, telephones that chat with callers, these are all projects that are being developed at MIT's Media Lab. Brand explores the exciting programs, and gives readers a look at the future of communications.
How social media is giving rise to a chaotic new form of politics As people spend increasing proportions of their daily lives using social media, such as Twitter and Facebook, they are being invited to support myriad political causes by sharing, liking, endorsing, or downloading. Chain reactions caused by these tiny acts of participation form a growing part of collective action today, from neighborhood campaigns to global political movements. Political Turbulence reveals that, in fact, most attempts at collective action online do not succeed, but some give rise to huge mobilizations—even revolutions. Drawing on large-scale data generated from the Internet and real-world events, this book shows how mobilizations that succeed are unpredictable, unstable, and often unsustainable. To better understand this unruly new force in the political world, the authors use experiments that test how social media influence citizens deciding whether or not to participate. They show how different personality types react to social influences and identify which types of people are willing to participate at an early stage in a mobilization when there are few supporters or signals of viability. The authors argue that pluralism is the model of democracy that is emerging in the social media age—not the ordered, organized vision of early pluralists, but a chaotic, turbulent form of politics. This book demonstrates how data science and experimentation with social data can provide a methodological toolkit for understanding, shaping, and perhaps even predicting the outcomes of this democratic turbulence.
Questions about the physical world, the mind, and technology in conversations that reveal a rich seam of interacting ideas. Science today is more a process of collaboration than moments of individual “eurekas.” This book recreates that kind of synergy by offering a series of interconnected dialogues with leading scientists who are asked to reflect on key questions and concepts about the physical world, technology, and the mind. These thinkers offer both specific observations and broader comments about the intellectual traditions that inform these questions; doing so, they reveal a rich seam of interacting ideas. The persistent paradox of our era is that in a world of unprecedented access to information, many of the most important questions remain unsolved. These conversations (conducted by a veteran science writer, Adolfo Plasencia) reflect this, with scientists addressing such issues as intelligence, consciousness, global warming, energy, technology, matter, the possibility of another earth, changing the past, and even the philosophical curveball, “is the universe a hologram?” The dialogues discuss such fascinating aspects of the physical world as the function of the quantum bit, the primordial cosmology of the universe, and the wisdom of hewn stones. They offer optimistic but reasoned views of technology, considering convergence culture, algorithms, “Beauty ≠ Truth,” the hacker ethic, AI, and other topics. And they offer perspectives from a range of disciplines on intelligence, discussing subjects that include the neurophysiology of the brain, affective computing, collaborative innovation, and the wisdom of crowds. Conversations with Hal Abelson, Ricardo Baeza-Yates, John Perry Barlow, Javier Benedicto, José Bernabéu, Michail Bletsas, Jose M. Carmena, David Casacuberta, Yung Ho Chang, Ignacio Cirac, Gianluigi Colalucci, Avelino Corma, Bernardo Cuenca Grau, Javier Echeverria, José Hernández-Orallo, Hiroshi Ishii, Pablo Jarillo-Herrero, Henry Jenkins, Anne Margulies, Mario J. Molina, Tim O'Reilly, John Ochsendorf, Paul Osterman, Alvaro Pascual-Leone, Rosalind W. Picard, Howard Rheingold, Alejandro W. Rodriguez, Israel Ruiz, Sara Seager, Richard Stallman, Antonio Torralba, Bebo White, José María Yturralde
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
How to co-create—and why: the emergence of media co-creation as a concept and as a practice grounded in equity and justice. Co-creation is everywhere: It’s how the internet was built; it generated massive prehistoric rock carvings; it powered the development of vaccines for COVID-19 in record time. Co-creation offers alternatives to the idea of the solitary author privileged by top-down media. But co-creation is easy to miss, as individuals often take credit for—and profit from—collective forms of authorship, erasing whole cultures and narratives as they do so. Collective Wisdom offers the first guide to co-creation as a concept and as a practice, tracing co-creation in a media-making that ranges from collaborative journalism to human–AI partnerships. Why co-create—and why now? The many coauthors, drawing on a remarkable array of professional and personal experience, focus on the radical, sustained practices of co-creating media within communities and with social movements. They explore the urgent need for co-creation across disciplines and organization, and the latest methods for collaborating with nonhuman systems in biology and technology. The idea of “collective intelligence” is not new, and has been applied to such disparate phenomena as decision making by consensus and hived insects. Collective wisdom goes further. With conceptual explanation and practical examples, this book shows that co-creation only becomes wise when it is grounded in equity and justice. With Coauthors Juanita Anderson, Maria Agui Carter, Detroit Narrative Agency, Thomas Allen Harris, Maori Karmael Holmes, Richard Lachman, Louis Massiah, Cara Mertes, Sara Rafsky, Michèle Stephenson, Amelia Winger-Bearskin, and Sarah Wolozin
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.
A guide to the pandemic economy: essential reading about the long-term implications of our current crisis. The COVID-19 pandemic has unleashed a firehose of information (much of it wrong) and an avalanche of opinions (many of them ill-founded). Most of us are so distracted by the everyday awfulness that we don't see the broader issues in play. In this book, economist Joshua Gans steps back from the short-term chaos to take a clear and systematic look at how economic choices are being made in response to COVID-19. He shows that containing the virus and pausing the economy—without letting businesses fail and people lose their jobs—are the necessary first steps.
Nonprofit leadership is messy Nonprofits leaders are optimistic by nature. They believe with time, energy, smarts, strategy and sheer will, they can change the world. But as staff or board leader, you know nonprofits present unique challenges. Too many cooks, not enough money, an abundance of passion. It’s enough to make you feel overwhelmed and alone. The people you help need you to be successful. But there are so many obstacles: a micromanaging board that doesn’t understand its true role; insufficient fundraising and donors who make unreasonable demands; unclear and inconsistent messaging and marketing; a leader who’s a star in her sector but a difficult boss… And yet, many nonprofits do thrive. Joan Garry’s Guide to Nonprofit Leadership will show you how to do just that. Funny, honest, intensely actionable, and based on her decades of experience, this is the book Joan Garry wishes she had when she led GLAAD out of a financial crisis in 1997. Joan will teach you how to: Build a powerhouse board Create an impressive and sustainable fundraising program Become seen as a ‘workplace of choice’ Be a compelling public face of your nonprofit This book will renew your passion for your mission and organization, and help you make a bigger difference in the world.
“OPEN is a tour de force that is by turns inspiring, shocking, highly entertaining, but above all practical.” Mark Stevenson, author of ‘An Optimist’s Tour of the Future’ What makes a global corporation give away its prized intellectual property? Why are Ivy League universities allowing anyone to take their courses for free? What drives a farmer in rural Africa to share his secrets with his competitors? A collection of hactivists, hobbyists, forum-users and maverick leaders are leading a quiet but unstoppable revolution. They are sharing everything they know, and turning knowledge into action in ways that were unimaginable even a decade ago. Driven by technology, and shaped by common values, going ‘open’ has transformed the way we live. It’s not so much a question of if our workplaces, schools and colleges go open, but when. Packed with illustration and advice, this entertaining read by learning futurist, David Price, argues that ‘open’ is not only affecting how we are choosing to live, but that it’s going to be the difference between success and failure in the future.