"This book looks at all the latest advances in DNA testing from the Y-chromosome tests used in surname projects through to the latest autosomal DNA tests. Debbie Kennett explores the use of new social media, including Facebook, Twitter, blogs and wikis, along with more traditional networking methods. DNA and social Networking is an indispensable guide to the use of twenty-first-century technology in family history research" --Dust jacket flap.
Every surname has its own story to tell, and a surname study is a natural complement to family history research. The study of surnames has been revolutionised in the last decade with the increasing availability of online resources, and it is now easier than ever before to explore the history, evolution, distribution and meaning of your family name. The Surnames Handbook provides a comprehensive guide to researching your surname using genealogical methods in conjunction with the latest advances in DNA testing and surname mapping. The book explores the key resources that are used to study a surname and is packed with links to relevant websites giving you everything you need to research your surname in one compact volume.DEBBIE KENNETT, an editor and genealogist, has been researching her family tree for over a decade. She is the founder of the Cruse/Cruwys one-name study and runs three large international DNA projects. She writes for many family history magazines. Her first book DNA and Social Networking is also published by The History Press.‘I believe this handbook, which is a significant contribution to our understanding in this field, deserves not only our admiration and gratitude, but also a place on our bookshelves.’Derek A. Palgrave – President of the Guild of One-Name Studies
DNA testing can serve as a powerful tool that unlocks the hidden information within our bodies for family history research. This book explains how genetic genealogy works and answers the questions of genealogists and individuals seeking information on their family trees. • Presents an overview to genealogical principles and an introduction to DNA testing for nonexpert audiences • Explains how genetic genealogy can provide data from within our bodies that tells us about who we are, who our ancestors were, and what characteristics our descendants may have • Addresses key legal and ethical issues regarding DNA testing • Describes the accepted protocols of DNA collection, handling, processing, evaluation, and interpretation that make DNA information more reliable than the other kinds of genealogical information
Alien Technology explores the consequences of technological alienation on individuals and communities in the modern times. The world is already witnessing situations in which those who are alienated from technologies are at the mercy of those who are “in the know”. This may even lead to the creation of a new kind of class system based on technology literacy. This book explores complex technologies, presents ways of identifying the levels of alienation, and suggests remedies for overcoming the alienation and becoming better and empowered users of technology. Replete with examples and written in lucid language, its humorous, tongue-in-cheek style will engage the reader.
"Die vier apokalyptischen Reiter" – so bezeichnet Marketing-Guru Galloway Amazon, Apple, Facebook und Google. Diese Tech-Giganten haben nicht nur neue Geschäftsmodelle entwickelt. Sie haben die Regeln des Wirtschaftslebens und die Voraussetzungen für Erfolg neu definiert. In dem respektlosen Stil, der Galloway zu einem der gefeiertsten Wirtschaftsprofessoren der Welt gemacht hat, zerlegt er die Strategien der Vier. Er führt vor, wie sie unsere grundlegenden emotionalen Bedürfnisse mit einer Schnelligkeit und in einem Ausmaß manipulieren, an die andere nicht herankommen. Und er zeigt, wie man die Lehren aus ihrem Aufstieg auf sein eigenes Unternehmen oder seinen eigenen Job anwenden kann. Ob man mit ihnen konkurrieren will, mit ihnen Geschäfte machen oder einfach in der Welt leben will, die von ihnen beherrscht wird – man muss die Vier verstehen.
This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.
»Um „Zehn Gründe...“ zu lesen, reicht ein einziger Grund: Jaron Lanier. Am wichtigsten Mahner vor Datenmissbrauch, Social-Media-Verdummung und der fatalen Umsonst-Mentalität im Netz führt in diesen Tagen kein Weg vorbei.« Frank Schätzing Jaron Lanier, Tech-Guru und Vordenker des Internets, liefert zehn bestechende Gründe, warum wir mit Social Media Schluss machen müssen. Facebook, Google & Co. überwachen uns, manipulieren unser Verhalten, machen Politik unmöglich und uns zu ekligen, rechthaberischen Menschen. Social Media ist ein allgegenwärtiger Käfig geworden, dem wir nicht entfliehen können. Lanier hat ein aufrüttelndes Buch geschrieben, das seine Erkenntnisse als Insider des Silicon Valleys wiedergibt und dazu anregt, das eigenen Verhalten in den sozialen Netzwerken zu überdenken. Wenn wir den Kampf mit dem Wahnsinn unserer Zeit nicht verlieren wollen, bleibt uns nur eine Möglichkeit: Löschen wir all unsere Accounts! Ein Buch, das jeder lesen muss, der sich im Netz bewegt! »Ein unglaublich gutes, dringendes und wichtiges Buch« Zadie Smith
If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)
Shows how both activists and the casually progressive can leverage the power of social networks for social change Helps readers maintain credibility, establish new connections, deal with common fears, and have a good time Authoritative but aggressively non-technical—like talking to a real person with a great sense of humor who really knows her stuff Social networks can be so much more than a way to find your high school friends or learn what your favorite celebrity had for breakfast. They can be powerful tools for changing the world. With Share This! both regular folks of a progressive bent and committed activists can learn how to go beyond swapping movie reviews and vacation photos (not that there’s anything wrong with that). At the moment the same kinds of people who dominate the dialog off-line are dominating it online, and things will never change if that doesn’t change. Progressives need to get on social networks and share their stories, join conversations, connect with others—and not just others exactly like themselves. It’s vital to reach out across all those ethnic/gender/preference/class/age lines that exist even within the progressive camp. As Deanna Zandt puts it, “creating a just society is sort of like the evolution of the species—if you have a bunch of the same DNA mixing together the species mutates poorly and eventually dies off.” But there are definitely dos and don’ts. Zandt delves into exactly what people are and are not looking for in online exchanges. How to be a good guest. What to share. Why authenticity is more important than just about anything, including traditional notions of expertise or authority. She addresses some common fears, like worrying about giving too much about yourself away, blurring the lines between your professional and personal life, or getting buried under a steaming heap of information overload. And she offers detailed, nuts-and bolts “how to get started” advice for both individuals and organizations. The Internet is upending hierarchies and freeing the flow of information in a way that makes the invention of the printing press seem like an historical footnote. Share This! shows how to take advantage of this unprecedented opportunity to make marginalized voices heard and support real, fundamental change—and, incidentally, have some fun doing it.
"Digital media technologies like the Internet create and host the social networks, virtual worlds, online communities, and media texts where it was once thought that we would all be the same, anonymous users with infinite powers. Instead, the essays in Race After the Internet show us that the Internet and other computer-based technologies are complex topographies of power and privilege, made up of walled gardens, new (plat)forms of economic and technological exclusion, and both new and old styles of race as code, interaction, and image. Investigating how racialization and racism are changing in web 2.0 digital media culture, Race After the Internet contains interdisciplinary essays on the shifting terrain of racial identity and its connections to digital media, including Facebook and MySpace, YouTube and viral video, WiFi infrastructure, the One Laptop Per Child (OLPC) program, genetic ancestry testing, DNA databases in health and law enforcement, and popular online games like World of Warcraft. Ultimately, the collection broadens the definition of the "digital divide" in order to convey a more nuanced understanding of usage, meaning, participation, and production of digital media technology in light of racial inequality."--
This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.
A leading researcher on human evolution proposes a new and controversial theory of how our species came to be In this groundbreaking and engaging work of science, world-renowned paleoanthropologist Chris Stringer sets out a new theory of humanity's origin, challenging both the multiregionalists (who hold that modern humans developed from ancient ancestors in different parts of the world) and his own "out of Africa" theory, which maintains that humans emerged rapidly in one small part of Africa and then spread to replace all other humans within and outside the continent. Stringer's new theory, based on archeological and genetic evidence, holds that distinct humans coexisted and competed across the African continent—exchanging genes, tools, and behavioral strategies. Stringer draws on analyses of old and new fossils from around the world, DNA studies of Neanderthals (using the full genome map) and other species, and recent archeological digs to unveil his new theory. He shows how the most sensational recent fossil findings fit with his model, and he questions previous concepts (including his own) of modernity and how it evolved. Lone Survivors will be the definitive account of who and what we were, and will change perceptions about our origins and about what it means to be human.
Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
From the marketing strategist who helped Steve Jobs launch the original Apple Macintosh comes a groundbreaking guide to positioning any company for industry dominance Andy Cunningham has been at the forefront of tech and innovation since day one, and she’s been helping companies create new product categories ever since. Now she reveals the winning framework she uses to transform markets and industries. Get to Aha! shows how to establish the kind of foundation world-class brands are built on. Too many business leaders fail to ask the most basic questions about their company—Who are we? And why do we matter?—before they leap right into branding. Big mistake. A company must first know itself (establish its position) before it can express its identity (execute its branding). There are three types of companies in the world, each with its own DNA: Mothers are customer-oriented, Mechanics are product-oriented, and Missionaries are concept-oriented―and it’s absolutely critical for business leaders to know which type their company is to create an authentic and ultimately “sticky” position in the market. A company’s DNA is the key to achieving this and with it, a competitive advantage. Why? Because if a Mechanic creates a marketing campaign based on its belief that it is a Missionary, the underlying positioning will not ring true and the company won’t gain a foothold in the market. But if a company positions itself in alignment with its DNA, it will resonate authentically and establish its role and relevance even in the face of a major competitor. Get to Aha! presents a clear step-by-step framework that will help you determine your company’s precise position in the marketing landscape, using Andy’s DNA-based methodology. It takes you through the process of performing “genetic testing” on your company, examining the market through the six Cs of positioning, and developing your positioning statement—a rational, factual statement about your company’s role and relevance. Then and only then can you create a branding and marketing strategy that will build market momentum and crush the competition. Trust Andy. Steve Jobs did.
By the twentieth century, science had become so important that religious traditions had to respond to it. Emerging religions, still led by a living founder to guide them, responded with a clarity and focus that illuminates other larger, more established religions’ understandings of science. The Hare Krishnas, the Unification Church, and Heaven’s Gate each found distinct ways to incorporate major findings of modern American science, understanding it as central to their wider theological and social agendas. In tracing the development of these new religious movements’ viewpoints on science during each movement’s founding period, we can discern how their views on science were crafted over time. These NRMs shed light on how religious groups—new, old, alternative, or mainstream—could respond to the tremendous growth of power and prestige of science in late twentieth-century America. In this engrossing book, Zeller carefully shows that religious groups had several methods of creatively responding to science, and that the often-assumed conflict-based model of “science vs. religion” must be replaced by a more nuanced understanding of how religions operate in our modern scientific world.
This book approaches its subject matter in a way that combines a strong analytical and critical perspective with a historical and sociological framework for the understanding of the emergence of Science Studies. This is a novelty, since extant literature on this topic tends either to narrate the history of the field, with little criticism, or to criticize Science Studies from a philosophical platform but with little interest in its historical and social context. The book provides a critical review of the most prominent figures in Science Studies (also known as Science and Technology Studies) and traces the historical roots of the discipline back to developments emerging after World War II. It also presents it as an heir to a long trend in Western thought towards the naturalization of philosophy, where a priori modes of thought are replaced by empirical ones. Finally, it points to ways for Science Studies to proceed in the future.
This wide-ranging, insightful book will make readers keenly aware of the media’s power, while underscoring the role that we all play in fostering a media climate that cultivates a greater sense of humanity, cooperation, and fulfillment of human potential. What role do the media have in creating the conditions for atrocities such as occurred in Rwanda? Conversely, can the media be used to preserve democracy and safeguard the human rights of all citizens in a diverse society? How will the media, now global in scope, affect the fate of the planet itself? The author explores these intriguing questions and more in this in-depth examination of the media’s power to either help or harm. She begins by documenting how the media were used to spread a contagion of hate in three deadly conflicts: Rwanda, Nazi Germany, and the former Yugoslavia. She then turns to areas of the world where the media acted constructively—by aiding the peace process in Northern Ireland, rebuilding democracy in Chile, bridging ethnic divides in South Africa, improving the lot of women in Senegal, and boosting transparency and democratization in Mexico and Taiwan. Finally, she explains how the media interact with psychological and cultural forces to impact perceptions, fears, peer-pressure, "groupthink," and the creation of heroes and villains. From the Hardcover edition.
To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more
The Social Media Handbook is a comprehensive risk and compliancemanagement toolkit that walks employers step-by-step through theprocess of developing and implementing effective social mediapolicy and compliance management programs that are designed tominimize—and in some cases prevent—social networkingand web 2.0 risks and other electronic disasters. Throughout this important resource Nancy Flynn (aninternationally recognized expert on workplace social media) offersa guide to best practices for creating safe, effective, andcompliant electronic business communications. The book contains athorough review of the risks inherent in employees' social mediause and content and explores how organizations can help managebehavior, mitigate risks, and maximize compliance through theimplementation of strategic social media compliance managementprograms. These programs combine written policies, supported bycomprehensive employee education and are enforced byproven-effective technology tools. Once these policies and programsare in place employers can safely take advantage of the marketingand communications benefits offered by social media. Covering a wealth of material, the book includes vitalinformation on topics such as social media and the law; managingrecords and e-discovery compliantly; regulatory compliance; privacyand security; blog risks and compliance rules; mobile devices drivesocial media risks; a seven-step plan for social media policy andcompliance management; conducting a social media audit; creatingsocial media policies; content rules and compliance; policycompliance and education; reputation management; and more. In addition to addressing pertinent topics on risk management,the book contains cautionary, real-life social networking disasterstories that show how organizations can lose revenue andreputations, reveals how employees can lose jobs, and explains howindividuals can face public humiliation. The Social Media Handbook is a hands-on guide written for humanresource professionals, information technology managers, legalprofessionals, compliance officers, records managers, and otherswho need to manage today's technology tools with up-to-dateemployment rules.

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