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Museums and Interactive Virtual Learning
Museums and Interactive Virtual Learning provides informal educators with practical resources that will help them to build dynamic digital engagement experiences within their own cultural organizations. Presenting vignettes from experienced museum educators and end users, as well as scientific data and practical resources, the book highlights the mutual benefits that Interactive Virtual Learning (IVL) programs offer to the museum and those visiting from a distance.Chapters mirror the step-by-step process of developing reputable IVL programs and emphasize how important it is for cultural organizations to encourage cross-departmental collaboration, if they wish to ensure that their programs align with the overall goals of the organization.Providing a thorough overview of the technologies, budget, marketing and staff requirements, the authors offer a realistic depiction of the work involved in building content for digital engagement.Emphasizing the importance of assessing existing programming, the book shows how institutions can adapt content to fit a virtual format and create inclusive digital engagement opportunities that reach local, national, and international audiences. Museums and Interactive Virtual Learning is an essential guide for professionals who are tasked with interpreting the content of a cultural organization and building lasting digital engagement opportunities.It will be particularly useful to those looking to reach diverse audiences.
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Take the Risk : Learning to Identify, Choose, and Live with Acceptable Risk
By avoiding risk, are you also avoiding your life's full potential?Join acclaimed neurosurgeon Dr. Ben Carson as he explores the life-changing power of taking the risk, even if you're afraid. In our risk-avoidant culture, we place a high premium on safety.We insure our vacations. We check crash tests on cars. We extend the warranties on our appliances. But by insulating ourselves from the unknown--the natural risks of life--we miss the great adventure of living our lives to their fullest potential. Dr. Ben Carson spent his childhood as an at-risk child on the streets of Detroit, and he took big risks in performing complex surgeries on the brain and the spinal cord.Now, offering inspiring personal examples, Dr. Carson invites us to embrace risk in our own lives. In Take the Risk, Dr. Carson examines our safety-at-all-costs culture and the meaning of risk and security in our lives.Take the Risk guides you through an extensive examination of risk, including:Risk-taking in historyAn assessment of the real costs and rewards of riskLearning how to assess and accept risksUnderstanding how risk reveals the purpose of your lifeFrom a man whose life dramatically portrays the connection between great risks and greater successes, the insights Dr. Carson shares in Take the Risk will help you dispel your fear of risk in order to dream big, aim high, move with confidence, and reap the rewards of wise risk-taking. Praise for Take the Risk:"Whether you are a world-renowned neurosurgeon, a CEO, or a teacher, this book applies to anyone who ever wondered about the difference between the pacesetters and those who struggle to keep up.It is the pacesetters who Take the Risk, and this book explains when and why to take risks to empower everyone to become a trailblazer rather than a mere spectator.For anyone who wants to rise above mediocrity, this book is a must-read."--Armstrong Williams, author and radio host, The Armstrong Williams Show
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Machine Learning for Financial Risk Management with Python : Algorithms for Modeling Risk
Financial risk management is quickly evolving with the help of artificial intelligence.With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning models for assessing financial risk.You'll learn how to compare results from ML models with results obtained by traditional financial risk models. Author Abdullah Karasan helps you explore the theory behind financial risk assessment before diving into the differences between traditional and ML models. Review classical time series applications and compare them with deep learning modelsExplore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learningRevisit and improve market risk models (VaR and expected shortfall) using machine learning techniquesDevelop a credit risk based on a clustering technique for risk bucketing, then apply Bayesian estimation, Markov chain, and other ML modelsCapture different aspects of liquidity with a Gaussian mixture modelUse machine learning models for fraud detectionIdentify corporate risk using the stock price crash metricExplore a synthetic data generation process to employ in financial risk
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Supply Chain Finance : Mechanisms, Risk Analytics, and Technology
As global supply chains become more complex, the need for expertise in their financial aspects grows.This book aims to equip students and professionals with the knowledge to navigate these complexities, ensuring efficient and resilient financial supply chain operations.It provides an in-depth exploration into the intricate and constantly evolving realm of supply chain finance.By merging key concepts, major mechanisms, hands-on risk analytics, and the latest technology trends, this book offers a seamless and comprehensive examination of the topic, grounded in the author's twenty years of academic research and hands-on experience.Students in supply chain management will gain a thorough understanding of the financial elements that are integral to modern supply chains, including the importance of liquidity, the role of financial institutions, and the optimization of cash flows within the supply chain ecosystem.Definitions will be used throughout the text to elucidate financial terminology that may be unfamiliar to management students.The instructor’s manual will include PowerPoint slides, exercises, and quizzes to assess student comprehension and progress. This textbook will serve as the primary resource for understanding the financial dimensions of supply chains.
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Risk
We are living in a world in which the existence of risk is constantly debated, misinformation and disinformation are rife and spread quickly and easily through online media, and where governments and institutions continue to avoid taking decisive action even when there is general agreement that a serious threat exists.Understanding how people, social groups and social organizations understand, respond to and act on threats, hazards and dangers is more important than ever.In Risk, Deborah Lupton asserts the ongoing importance of the analysis of risk in our age of permacrisis and mounting scepticism about experts and science, calling for a ‘re-turn’ to risk theory in the social sciences. The book outlines the three major approaches to risk in social and cultural theory, devoting a chapter to each.The first approach draws upon the work of Mary Douglas to articulate the cultural/symbolic perspective on risk.The second approach is that of the risk society perspective, based on the writings of Ulrich Beck and Anthony Giddens.The third approach covered is that of the governmentality perspective, which builds on Michel Foucault’s work.Three other chapters examine in detail the relationship between concepts of risk and concepts of selfhood and the body, the notion of Otherness and how this influences the ways in which people respond to and think about risk, and the pleasures of voluntary risk-taking, including discussion of edgework.An entirely new chapter has been added to this edition, focusing on the risks posed by misinformation and denial in the context of climate change and the COVID-19 pandemic.This chapter discusses the politics of post-truth cultures and the powerful networks of actor and organizations that together work to challenge science and manufacture dissent against attempts to tackle these crises. This new edition of Risk is an essential introduction to the topic of risk for students and academics in the social sciences and humanities.
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Reckoning with Risk : Learning to Live with Uncertainty
Gerd Gigerenzer's Reckoning with Risk: Learning to Live with Uncertainty illustrates how we can learn to make sense of statistics and turn ignorance into insight. However much we want certainty in our lives, it feels as if we live in an uncertain and dangerous world.But are we guilty of wildly exaggerating the chances of some unwanted event happening to us?Are we misled by our ignorance of the reality of risk? Far too many of us, argues Gerd Gigerenzer, are hampered by our own innumeracy, while statistics are often presented to us in highly confusing ways.With real world examples, such as the incidence of errors in tests for breast cancer or HIV, or in DNA fingerprinting, and the manipulation of statistics for evidence in court, he shows that our difficulty in thinking about numbers can easily be overcome. 'Indispensable ... The book will change the attentive reader's way of looking at the world' Sunday Telegraph 'An important book ... the reader is presented with a powerful set of tools for understanding statistics ... anyone who wants to take responsibility for their own medical choices should read it' New Scientist 'Gigerenzer makes clear thinking easier' Evening Standard 'More than ever, citizens need to know how to evaluate risk ...This book should be pressed into the palms of ' Independent Gerd Gigerenzer is Director of the Center for Adaptive Behavior and Cognition at the Max Planck Institute for Human Development in Berlin and former Professor of Psychology at the University of Chicago.He has published two academic books on heuristics, Simple Heuristics That Make Us Smart and Bounded Rationality: The Adaptive Toolbox as well as a popular science book, Gut Feelings: Short Cuts to Better Decision Making.
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Managing Risk in Virtual Enterprise Networks : Implementing Supply Chain Principles
Managing Risk in Virtual Enterprise Networks: Implementing Supply Chain Principles aspires to set a point-of-reference for scholars and researchers in the fields of Virtual Enterprises and Supply Chain Management who are interested in studying the Risk Management dimension in a cross-disciplinary fashion by applying new ideas and synthetic thinking in already well established concepts. Furthermore, this valuable reference aims to attract both graduate and post-graduate students studying the Risk Management discipline.
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Medical Risk Prediction Models : With Ties to Machine Learning
Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction model based on data.The subject of the book is the patient’s individualized probability of a medical event within a given time horizon.Gerds and Kattan describe the mathematical details of making and evaluating a statistical prediction model in a highly pedagogical manner while avoiding mathematical notation.Read this book when you are in doubt about whether a Cox regression model predicts better than a random survival forest. Features:All you need to know to correctly make an online risk calculator from scratch. Discrimination, calibration, and predictive performance with censored data and competing risks. R-code and illustrative examples. Interpretation of prediction performance via benchmarks. Comparison and combination of rival modeling strategies via cross-validation.
Price: 49.99 £ | Shipping*: 0.00 £
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