This book is an investigation of computational and data practices in climate impact research. Drawing on ethnographic and digital methodologies, it explores how simulation modelers calculate future climate risks in computer models and how they make their scientific knowledge accessible to others.

The next wave of science writing is here. Editor Max Brockman has talent-spotted 19 young scientists, working on leading-edge research across a wide range of fields. Nearly half of them are women, and all of them are great communicators: their passion and excitement makes this collection a wonderfully invigorating read. We hear from an astrobiologist at the Jet Propulsion Laboratory in Pasadena about the possibilities for life elsewhere in the solar system (and the universe); from the director of Yale's Comparative Cognition Laboratory about why we keep making the same mistakes; from a Cambridge lab about DNA synthesis; from the Tanzanian savannah about what lies behind attractiveness; we hear about how to breed plants to withstand disease, about ways to extract significance from the Interne's enormous datasets, about oceanography, neuroscience, microbiology, and evolutionary psychology.

From stem cell research to global warming, human cloning, evolution, and beyond, political debates about science in recent years have fallen into the familiar categories of America's culture wars. Imagining the Future explores the meaning of science and technology in American politics today. The science debates, Yuval Levin argues, expose the deepest strengths and greatest weaknesses of both the left and the right, and present serious challenges to American democratic self-government. What do arguments about embryos, climate, or the origins of man reveal about contemporary America? Why do issues involving science seem to divide us along the same fault lines as so many other issues in our political life? Is science morally neutral, or is it an endeavor filled with moral promise - and peril? Are American conservatives really waging war on science? Is the American left justified in calling itself the party of science? Most of the science debates, Levin concludes, are not about particular theories or facts or technologies. Rather, they come down to a profound dispute between liberals and conservatives about the right way to think about the future. Science is only one subject of this broader dispute; but today's science debates can illuminate the contours of our politics and clarify the rift at the heart of our polity.

NATIONAL BESTSELLER • The renowned theoretical physicist and national bestselling author of The God Equation details the developments in computer technology, artificial intelligence, medicine, space travel, and more, that are poised to happen over the next century. “Mind-bending…. [An] alternately fascinating and frightening book.” —San Francisco Chronicle Space elevators. Internet-enabled contact lenses. Cars that fly by floating on magnetic fields. This is the stuff of science fiction—it’s also daily life in the year 2100. Renowned theoretical physicist Michio Kaku considers how these inventions will affect the world economy, addressing the key questions: Who will have jobs? Which nations will prosper? Kaku interviews three hundred of the world’s top scientists—working in their labs on astonishing prototypes. He also takes into account the rigorous scientific principles that regulate how quickly, how safely, and how far technologies can advance. In Physics of the Future, Kaku forecasts a century of earthshaking advances in technology that could make even the last centuries’ leaps and bounds seem insignificant.

Building on concepts from Science & Technology Studies, Simon David Hirsbrunner investigates practices and infrastructures of computer modeling and science communication in climate impact research. The book characterizes how scientists calculate future climate risks in computer models and scenarios, but also how they circulate their insights and make them accessible and comprehensible to others. By discussing elements such as infrastructures, visualizations, models, software and data, the chapters show how computational modeling practices are currently changing in light of digital transformations and expectations for an open science. A number of inventive research devices are proposed to capture both the fluidity and viscosity of contemporary digital technology.

**THE SUNDAY TIMES BESTSELLER** 'A truly fascinating - if unnerving - read' DAILY TELEGRAPH 'Acute, mind-opening, highly accessible - this book doesn't just explain how our lives might pan out, it helps us live better' BETTANY HUGHES 'A humane and highly readable account of the neuroscience that underpins our ideas of free will and fate' PROFESSOR DAVID RUNCIMAN *** So many of us believe that we are free to shape our own destiny. But what if free will doesn't exist? What if our lives are largely predetermined, hardwired in our brains - and our choices over what we eat, who we fall in love with, even what we believe are not real choices at all? Neuroscience is challenging everything we think we know about ourselves, revealing how we make decisions and form our own reality, unaware of the role of our unconscious minds. Did you know, for example, that: * You can carry anxieties and phobias across generations of your family? * Your genes and pleasure and reward receptors in your brain will determine how much you eat? * We can sniff out ideal partners with genes that give our offspring the best chance of survival? Leading neuroscientist Hannah Critchlow draws vividly from everyday life and other experts in their field to show the extraordinary potential, as well as dangers, which come with being able to predict our likely futures - and looking at how we can alter what's in store for us. Lucid, illuminating, awe-inspiring The Science of Fate revolutionises our understanding of who we are - and empowers us to help shape a better future for ourselves and the wider world.

This book reviews the current state of theoretical accounts of the what and how of science learning in schools. The book starts out by presenting big-picture perspectives on key issues. In these first chapters, it focuses on the range of resources students need to acquire and refine to become successful learners. It examines meaningful learner purposes and processes for doing science, and structural supports to optimize cognitive engagement and success. Subsequent chapters address how particular purposes, resources and experiences can be conceptualized as the basis to understand current practices. They also show how future learning opportunities should be designed, lived and reviewed to promote student engagement/learning. Specific topics include insights from neuro-imaging, actor-network theory, the role of reasoning in claim-making for learning in science, and development of disciplinary literacies, including writing and multi-modal meaning-making. All together the book offers leads to science educators on theoretical perspectives that have yielded valuable insights into science learning. In addition, it proposes new agendas to guide future practices and research in this subject.