This unique budgetary survival guide will enhance your instructional, technical, and managerial skills not only as the school′s leader but also as the school′s visionary, planning coordinator, and budgeting manager.

    In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data.Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

    Their results shocked the world and created stirring conversation about global 'overshoot,' or resource use beyond the carrying capacity of the planet. Now, preeminent environmental scientists Donnella Meadows, Jorgen Randers, and Dennis Meadows have teamed up again to update and expand their original findings in The Limits to Growth: The 30 Year Global Update.Meadows, Randers, and Meadows are international environmental leaders recognized for their groundbreaking research into early signs of wear on the planet. Citing climate change as the most tangible example of our current overshoot, the scientists now provide us with an updated scenario and a plan to reduce our needs to meet the carrying capacity of the planet.Over the past three decades, population growth and global warming have forged on with a striking semblance to the scenarios laid out by the World3 computer model in the original Limits to Growth. While Meadows, Randers, and Meadows do not make a practice of predicting future environmental degradation, they offer an analysis of present and future trends in resource use, and assess a variety of possible outcomes.In many ways, the message contained in Limits to Growth: The 30-Year Update is a warning. Overshoot cannot be sustained without collapse. But, as the authors are careful to point out, there is reason to believe that humanity can still reverse some of its damage to Earth if it takes appropriate measures to reduce inefficiency and waste.Written in refreshingly accessible prose, Limits to Growth: The 30-Year Update is a long anticipated revival of some of the original voices in the growing chorus of sustainability. Limits to Growth: The 30 Year Update is a work of stunning intelligence that will expose for humanity the hazy but critical line between human growth and human development.

    The massive pressure on CIOs continues to increase as the opportunities to use technology in business become more prevalent and more competitive. As CIOs often find themselves at the center of business conflict, they must not only familiarize themselves with Machiavellian tactics as a defensive weapon, but also learn to use them as an offensive weapon in extreme situations so that they can increase IT’s contribution to their enterprises.As Italian political philosopher Niccolo Machiavelli implied, you're either predator or prey, and the animal you most resemble determines your position on the food chain. In The Wolf in CIO's Clothing Gartner analyst and author Tina Nunno expands on Machiavelli's metaphor, examining seven animal types and the leadership attributes of each. Nunno posits the wolf — a social animal with strong predatory instincts — as the ideal example of how a leader can adapt and thrive.Technology may be black and white, but successful leadership demands an ability to exist in the grey. Drawing on her experience with hundreds of CIOs, Nunno charts a viable way to master the Machiavellian principles of power, manipulation, love, and war. Through compelling case studies, her approach demonstrates how CIOs and IT leaders can adjust their leadership styles in extreme situations for their own success and that of their teams.

    Educators will find information on how to teach students to read based on evidence from a broad base of effective, well-designed research. Topics have been updated and added to better reflect current thinking in the field and address issues that have come to national and international attention for a number of reasons, including the recently released U.S. National Reading Panel report. The editors maintain a balance among theory, research, and effective classroom practice without presenting a formulaic view of good instruction or overly theoretical discussions in which practical applications of research findings are not adequately explored. The 17 chapters focus on research related to early reading instruction, phonemic awareness, comprehension, and many other topics. Each chapter concludes with "Questions for Discussion"; to encourage reflection on the topics discussed. Teacher educators will find this volume to be a valuable tool for preservice teacher preparation as well as graduate level courses. The professional development community, school administrators, and policymakers will also find it to be an indispensable resource as they seek to implement programs consistent with rapidly emerging legislative and policy mandates.

    Ethical Leadership and Decision Making in Education: Applying Theoretical Perspectives to Complex Dilemmas, Second Edition: *demonstrates the application of different ethical paradigms (the ethics of justice, care, critique, and the profession) through discussion and analysis of real-life moral dilemmas that educational leaders face in their schools and communities;*addresses some of the practical, pedagogical, and curricular issues related to the teaching of ethics for educational leaders;*emphasizes the importance of ethics instruction from a variety of theoretical approaches; and*provides a process that instructors might follow to develop their own ethics unit or course.Part I provides an overview of why ethics is so important, especially for today's educational leaders, and presents a multiparadigm approach essential to practitioners as they grapple with ethical dilemmas. Part II deals with the dilemmas themselves. It includes a brief introduction to how the cases were constructed, an illustration of how the multiparadigm approach may be applied to a real dilemma, and ethical dilemmas written by graduate students that represent the kinds of dilemmas faced by practicing administrators in urban, suburban, and rural settings in an era full of complexities and contradictions. Part III focuses on pedagogy and provides teaching notes for the instructor. The authors discuss the importance of self-reflection on the part of both instructors and students, and model how they thought through their own personal and professional ethical codes as well as reflected upon the critical incidents in their lives that shape their teaching and frequently determine what they privileged in class.New in the Second Edition: *A completely new chapter emphasizing religious differences and presenting the contradictions between religion and culture;*A completely new chapter on testing, juxtaposing the paradox of accountability with responsibility;*Several new dilemmas focusing on higher education, recognizing that many educational leadership training programs include students with this focus; and*Changes throughout to update the text, including a discussion of recent scholarship in the field of ethical leadership.Ethical Leadership and Decision Making in Education: Applying Theoretical Perspectives to Complex Dilemmas, Second Edition is easily adaptable for a variety of uses with a wide range of audiences. It is equally valuable as a text for university courses related to the preparation of educational leaders and as a professional reference for aspiring and practicing administrators, teacher leaders, office personnel, and educational policy makers.

    Soon Gen Xers will be the only cohort of Americans who remember life as it was lived before the arrival of the Internet. They are, as Hennessey dubs them, “the last adult generation,” the sole remaining link to a time when childhood was still a bit dangerous but produced adults who were naturally resilient. More than a decade into the social media revolution, the American public is waking up to the idea that the tech sector’s intentions might not be as pure as advertised. The mountains of money being made off our browsing habits and purchase histories are used to fund ever-more extravagant and utopian projects that, by their very natures, will corrode the foundations of free society, leaving us all helpless and digitally enslaved to an elite crew of ultra-sophisticated tech geniuses. But it’s not too late to turn the tide. There’s still time for Gen X to write its own future. A spirited defense of free speech, eye contact, and the virtues of patience, Zero Hour for Gen X is a cultural history of the last 35 years, an analysis of the current social and historical moment, and a generational call to arms.

    Particularly noteworthy are the numerous historical examples of past efforts to make sense of complex systems of information. In this new companion volume, The Book of Trees, data viz expert Manuel Lima examines the more than eight hundred year history of the tree diagram, from its roots in the illuminated manuscripts of medieval monasteries to its current resurgence as an elegant means of visualization. Lima presents two hundred intricately detailed tree diagram illustrations on a remarkable variety of subjects—from some of the earliest known examples from ancient Mesopotamia to the manuscripts of medieval monasteries to contributions by leading contemporary designers. A timeline of capsule biographies on key figures in the development of the tree diagram rounds out this one-of-a-kind visual compendium.

    In the preface to this book, author Keith Delaplane says of his first book on beekeeping, "Its pages opened to me a golden world of honey bees and beekeeping and guided my stumbling steps that first spring season. My story is but one of thousands who have passed through the door opened by Dadant's little book."

    If you're a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases.Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you'll also discover how to efficiently design and manage databases to meet your needs.You'll also learn how to:Explore relational databases, including lightweight and centralized modelsUse SQLite and SQLiteStudio to create lightweight databases in minutesQuery and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BYJoin tables to get a more complete view of your business dataBuild your own tables and centralized databases by using normalized design principlesManage data by learning how to INSERT, DELETE, and UPDATE records

    

    But in our rush to build the infrastructure for the 20 quintillion bits we create every day, we've failed to ask exactly why we're expending ever-increasing amounts of energy, resources, and human effort to maintain all this data.Drawing on deep ideas and frontier thinking in evolutionary biology, computer science, information theory, and astrobiology, Caleb Scharf argues that information is, in a very real sense, alive. All the data we create--all of our emails, tweets, selfies, A.I.-generated text and funny cat videos--amounts to an aggregate lifeform. It has goals and needs. It can control our behavior and influence our well-being. And it's an organism that has evolved right alongside us.This symbiotic relationship with information offers a startling new lens for looking at the world. Data isn't just something we produce; it's the reason we exist. This powerful idea has the potential to upend the way we think about our technology, our role as humans, and the fundamental nature of life. The Ascent of Information offers a humbling vision of a universe built of and for information. Scharf explores how our relationship with data will affect our ongoing evolution as a species. Understanding this relationship will be crucial to preventing our data from becoming more of a burden than an asset, and to preserving the possibility of a human future.

    Drawing on research by their team at the Center for Digital Business, they show that there's been no stagnation in technology -- in fact, the digital revolution is accelerating. Recent advances are the stuff of science fiction: computers now drive cars in traffic, translate between human languages effectively, and beat the best human Jeopardy! players.As these examples show, digital technologies are rapidly encroaching on skills that used to belong to humans alone. This phenomenon is both broad and deep, and has profound economic implications. Many of these implications are positive; digital innovation increases productivity, reduces prices (sometimes to zero), and grows the overall economic pie.But digital innovation has also changed how the economic pie is distributed, and here the news is not good for the median worker. As technology races ahead, it can leave many people behind. Workers whose skills have been mastered by computers have less to offer the job market, and see their wages and prospects shrink. Entrepreneurial business models, new organizational structures and different institutions are needed to ensure that the average worker is not left behind by cutting-edge machines.In Race Against the Machine Brynjolfsson and McAfee bring together a range of statistics, examples, and arguments to show that technological progress is accelerating, and that this trend has deep consequences for skills, wages, and jobs. The book makes the case that employment prospects are grim for many today not because there's been technology has stagnated, but instead because we humans and our organizations aren't keeping up.

    For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.