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Researchers in the environmental sciences are often frustrated because actors involved with practice do not follow their advice. This is the starting point of this book, which describes a new model for scientific knowledge transfer called RIU, for Research, Integration and Utilization. This model sees the factors needed for knowledge transfer as being state-of-the-art research and the effective, practical utilization to which it leads, and it highlights the importance of “integration”, which in this context means the active bi‐directional selection of those research results that are relevant for practice. In addition, the model underscores the importance of special allies who are powerful actors that support the application of scientific research results in society. An important product of this approach is a checklist of factors for successful knowledge transfer that will be useful for scientists. By using this checklist, research projects and research programs can be optimised with regard to their potential for reaching successful knowledge transfer effects.
Rather than paying tribute to the great discoveries and discoverers, the BOOK OF SCIENCE STUFF takes a fun look at the silly, hilarious, horrible underbelly of science. In a series of enjoyable short accounts, it focuses on the failures, reveals the petty squabbles, and introduces the "nerds" who labored in labs around the world. Check out the blunders--like scary Cold War experiments, idiotic research grants, and space study stupidity; meet the "Sigmund Frauds" and the real Frankensteins; and peek into the secret lives of scientists (if you dare). See how science makes the world go round--and directly affects everyone's daily lives. Scrutinize Hollywood's presentation of science on film and TV. And ponder the ways science sometimes pulls the wool over our eyes.
Analyses the fundamentals of love, the basic characteristics of existence that must be present for love to be expressed, concluding with the important argument that progress can be made when religion and science work together to both understand and promote love.
Teacher Education in a Transnational World brings together specialists from various disciplines and scholars with policy-making and high-level government and administrative experience to discuss the historical, sociological, and philosophical issues associated with teacher education in a global context. Edited by Rosa Bruno-Jofré and James Scott Johnston, two leading scholars of the history and philosophy of education, this collection offers both analytical and practical insights into the present and future state of teacher education. Among the topics examined are paradigmatic changes in teacher education, the impact of the Bologna process in Europe, Indigenous education, and state policies in a transnational context. With contributors from nine countries on four continents, Teacher Education in a Transnational World offers a genuinely international interdisciplinary examination of the challenges and opportunities associated with teacher education in the twenty-first century.
“Mesmerizing & fascinating...” —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive Analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated — and Hillary for America 2016 plans to calculate — the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.
This book presents the outcomes of recent endeavors that will contribute to significant advances in the areas of communication design, fashion design, interior design and product design, music and musicology, as well as overlapping areas. Gathering the proceedings of the 7th EIMAD conference, held on May 14–15, 2020, and organized by the School of Applied Arts, Campus da Talagueira, in Castelo Branco, Portugal, it proposes new theoretical perspectives and practical research directions in design and music, while also discussing teaching practices and some areas of intersection. It addresses strategies for communication and culture in a global, digital world, that take into account key individual and societal needs.
Silicon, the basic material for a multibillion-dollar industry, is the most widely researched and applied semiconductor, and its surfaces are the most thoroughly studied of all semiconductor surfaces. Silicon Surfaces and Formation of Interfaces may be used as an introduction to graduate-level physics and chemical physics. Moreover, it gives a specialized and comprehensive description of the most common faces of silicon crystals as well as their interaction with adsorbates and overlayers. This knowledge is presented in a systematic and easy-to-follow way. Discussion of each system is preceded by a brief overview which categorizes the features and physical mechanisms before the details are presented. The literature is easily available, and the references are numerous and organized in tables, allowing a search without the need to browse through the text.Though this volume focuses on a scientific understanding of physics on the atomistic and mesoscopic levels, it also highlights existing and potential links between basic research in surface science and applications in the silicon industry. It will be valuable to anyone writing a paper, thesis, or proposal in the field of silicon surfaces.
This book addresses historical perspectives and contemporary challenges of the politics of forestland governance and the related sustainability crisis in Africa. It focusses on the power dynamics between key actors involved in the governance of forest-related resources either for their exploitation or with regards to biodiversity conservation policies promoted at international arenas. The book provides conceptual and empirical contributions on what happens when global sustainability agendas and the related policy instruments meet the realities of domestic politics in Africa. It reveals that several actors in forest-rich countries, especially those with limited sovereignty, have often employed complex informal strategies as the ‘weapon of the weak’ to resist the domination of the most powerful actors of global environmental politics.
Protective forests are a key component to reduce natural hazard risks in mountain areas by preventing or decreasing the frequency, magnitude and/or intensity of snow avalanches, rockfall, landslides, floods, and debris flows. This book summarizes the state-of-the-art knowledge and introduces methods and decision support tools to facilitate the use of protective forests for Ecosystem-based Disaster Risk Reduction (Eco-DRR) as part of an integrated risk management in the Alpine Space. Moreover, it highlights how translating scientific knowledge into practical solutions can only be achieved by an active and iterative exchange with practitioners and policy makers, and a common understanding of applied concepts and definitions. Only then can protective forests be managed sustainably under constantly changing climate and socio-economic conditions.