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| from the reading innovation risk mathematical modeling: Using Applied Mathematical Models for Business Transformation Trad, Antoine, Kalpi?, Damir, 2019-12-20 Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology. |
| from the reading innovation risk mathematical modeling: Mathematical Modeling in Economics, Ecology and the Environment N.V. Hritonenko, Yuri P. Yatsenko, 2013-04-17 The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ... |
| from the reading innovation risk mathematical modeling: Third International Handbook of Mathematics Education M.A. (Ken) Clements, Alan Bishop, Christine Keitel-Kreidt, Jeremy Kilpatrick, Frederick Koon-Shing Leung, 2012-11-15 The four sections in this Third International Handbook are concerned with: (a) social, political and cultural dimensions in mathematics education; (b) mathematics education as a field of study; (c) technology in the mathematics curriculum; and (d) international perspectives on mathematics education. These themes are taken up by 84 internationally-recognized scholars, based in 26 different nations. Each of section is structured on the basis of past, present and future aspects. The first chapter in a section provides historical perspectives (“How did we get to where we are now?”); the middle chapters in a section analyze present-day key issues and themes (“Where are we now, and what recent events have been especially significant?”); and the final chapter in a section reflects on policy matters (“Where are we going, and what should we do?”). Readership: Teachers, mathematics educators, ed.policy makers, mathematicians, graduate students, undergraduate students. Large set of authoritative, international authors. |
| from the reading innovation risk mathematical modeling: Booms and Busts: An Encyclopedia of Economic History from the First Stock Market Crash of 1792 to the Current Global Economic Crisis Mehmet Odekon, 2015-03-17 This timely and authoritative set explores three centuries of good times and hard times in major economies throughout the world. More than 400 signed articles cover events from Tulipmania during the 1630s to the U.S. federal stimulus package of 2009, and introduce readers to underlying concepts, recurring themes, major institutions, and notable figures. Written in a clear, accessible style, Booms and Busts provides vital insight and perspective for students, teachers, librarians, and the general public - anyone interested in understanding the historical precedents, causes, and effects of the global economic crisis. Special features include a chronology of major booms and busts through history, a glossary of economic terms, a guide to further research, an appendix of primary documents, a topic finder, and a comprehensive index. It features 1,050 pages; three volumes; 8-1/2 X 11; topic finder; photos; chronology; glossary; primary documents; bibliography; and, index. |
| from the reading innovation risk mathematical modeling: The Engineering Design of Systems Dennis M. Buede, William D. Miller, 2024-05-07 Comprehensive resource covering methods to design, verify, and validate systems with a model-based approach, addressing engineering of current software-centric systems The newly revised and updated Fourth Edition of The Engineering Design of Systems includes content addressing model-based systems engineering, digital engineering, digital threads, AI, SysML 1.0 and 2.0, digital twins, and GENESYS software. The authors explore system and software-centric architecture, allocations, and logical and physical architecture development, including revised terminologies for a variety of subsections throughout. Composed of 15 chapters, this book includes important new sections on modeling approaches for middle-out engineering, reverse engineering, and agile systems engineering, with a separate section on emerging trends within systems engineering to explore the most update-to-date methods. The authors include comprehensive diagrams and a separate chapter on a complete exercise of the System Engineering process, ranging from the operational concept to integration and qualification. To aid in reader comprehension and retention of concepts, the text is embedded with problems at the end of each chapter, along with relevant case studies. Sample topics covered in The Engineering Design of Systems include: Structural system models to executable models, verification and validation on systems of systems, and external systems and context modeling Digital engineering, digital threads, artificial/augmented intelligence (AI), stakeholder requirements, and scientific foundations for systems engineering Quantifying a context and external systems’ model, including intended and unintended inputs, both deterministic and non-deterministic Functional architecture development, logical and physical architecture development, allocated architecture development, interface design, and decision analysis for design trades The Engineering Design of Systems is highly suitable as a main text for undergraduate and graduate students studying courses in system engineering design, systems architecture, and systems integration. The text is also valuable as a reference for practicing system architects, systems engineers, industrial engineers, engineering management professionals, and systems integrators. |
| from the reading innovation risk mathematical modeling: Sustainability and Innovation in Manufacturing Enterprises Anca Draghici, Larisa Ivascu, 2022-01-01 This book informs and educates readers about sustainable development management, approaches and applications in manufacturing processes and presents the trends to the next economic and social paradigm: the Industry 5.0 and Society 5.0. Educational aspects, case studies from various companies, together with the analysis and synthesis of the literature and empirical experiences, define the content of the eleven chapters. Thus, this material could be considered as a starting point and foundation for researchers and practitioners interested in the present state and the evolution of the manufacturing systems. The book offers various points of view regarding the actual digital transformation of the manufacturing system. |
| from the reading innovation risk mathematical modeling: China's Quest for Innovation Shuanping Dai, Markus Taube, 2019-11-06 The transition from a catching-up style economy to an innovation-driven economy poses a major challenge for China. This book examines the major issues at stake, outlines developments in crucial business fields and industries, and discusses the roles of top-down politics and bottom-up entrepreneurship. It focuses in particular on the institutional foundations of innovation, arguing that successful innovation relies on the favourable interplay of business, politics, and society, and that comprehensive institutional and organizational changes will be required in China in order for innovation to succeed. Overall, the book assesses how far China will be able to depart from the Western paradigm of successful innovation regimes and create its own innovation system with Chinese characteristics. |
| from the reading innovation risk mathematical modeling: Resources in Education , 1997 |
| from the reading innovation risk mathematical modeling: School-Based Curriculum in China Yunhuo Cui, Hao Lei, Wenye Zhou, 2020-12-07 This book first develops a framework to understand the curriculum administration system in China. It describes the historical process of localizing school-based curricula as well as the significance and positioning of school-based curricula, and presents in detail cases of how three types of school-based curriculum were developed and implemented in Chinese schools. The book outlines for the first time best practices in school-based curriculum development in China, i.e. how to make a holistic curriculum plan, how to design a curriculum, and how to develop a course in the context of a school-based curriculum. By discussing these three aspects, it clearly summarizes the strategies and technologies for school-based curriculum development, which are applicable across contexts. Although the concept originated outside China, school-based curriculum development in China differs from that in other countries both in theory and practice. This book equips readers with theoretical and practical knowledge of how to develop school-based curricula and how to generate experiences for new curriculum development. This timely book is a valuable resource for researchers, curriculum designers, school teachers and others who are interested in school-based curriculum development. |
| from the reading innovation risk mathematical modeling: The Guidance of an Enterprise Economy Martin Shubik, Eric Smith, 2022-11-01 A rigorous theory of money, credit, and bankruptcy in the context of a mixed economy, uniting Walrasian general equilibrium with macroeconomic dynamics and Schumpeterian innovation. This book offers a rigorous study of control, guidance, and coordination problems of an enterprise economy, with attention to the roles of money and financial institutions. The approach is distinctive in drawing on game theory, methods of physics and experimental gaming, and, more generally, a broader evolutionary perspective from the biological and behavioral sciences. The proposed theory unites Walrasian general equilibrium with macroeconomic dynamics and Schumpeterian innovation utilizing strategic market games. Problems concerning the meaning of rational economic behavior and the concept of solution are noted. The authors argue that process models of the economy can be built that are consistent with the general equilibrium system but become progressively more complex as new functions are added. Explicit embedding of the economy within the framework of government and society provides a natural, both formal and informal, control system. The authors describe how to build and analyze multistate models with simple assumptions about behavior, and develop a general modeling methodology for the construction of models as playable games. |
| from the reading innovation risk mathematical modeling: Innovation as a Basis for Competitiveness Alexander Chursin, Yuri Vlasov, Yury Makarov, 2016-08-16 This book focuses on the theory and practice involved in the management of innovative activities that enhance the competitiveness of enterprises, industries and economies. It presents a multi-criteria approach to the problem of selecting effective innovative projects and innovative technologies that increase competitiveness in high-tech industries. Further, the book develops a mathematical risk assessment model, and proposes new approaches for systematically identifying and assessing the probability of risk emergence. Lastly, it demonstrates how simulation models can be used to assess the impact of innovative technologies on the competitiveness of high-tech products. |
| from the reading innovation risk mathematical modeling: The Cumulative Book Index , 1998 A world list of books in the English language. |
| from the reading innovation risk mathematical modeling: Quantitative Methods Paolo Brandimarte, 2012-01-03 An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills. |
| from the reading innovation risk mathematical modeling: The Evaluation of Risk in Business Investment J.C. Hull, 2014-06-28 Provides finance specialists in industry and students of management with a comprehensive set of practical procedures for evaluating the total risk in the major capital investment decisions facing a business. It discusses in detail how companies can make effective use of sensitivity analyses, risk simulations and other techniques, and deals in depth with important issues, such as: How should the results of a sensitivity analysis be interpreted?; How can adequate subjective probability distributions be obtained? How can dependencies between variables be dealt with in a practical way?; The emphasis throughout is on 'how to do it' and the reader needs only a slight knowledge of statistics. A particularly important feature of the book is the FORTRAN subroutines in Appendices A and B which the author prepared for calculating risk evaluations |
| from the reading innovation risk mathematical modeling: International Encyclopedia of Geography, 15 Volume Set Noel Castree, Michael F. Goodchild, Audrey Kobayashi, Weidong Liu, Richard A. Marston, 2017-03-20 Zweifelsohne das Referenzwerk zu diesem weitgefächerten und dynamischen Fachgebiet. The International Encyclopedia of Geograph ist das Ergebnis einer einmaligen Zusammenarbeit zwischen Wiley und der American Association of Geographers (AAG), beleuchtet und definiert Konzepte, Forschung und Techniken in der Geographie und zugehörigen Fachgebieten. Die Enzyklopädie ist als Online-Ausgabe und 15-bändige farbige Printversion erhältlich. Unter der Mitarbeit einer Gruppe von Experten aus aller Welt ist ein umfassender und fundierter Überblick über die Geographie in allen Erdteilen entstanden. - Enthält mehr als 1.000 Einträge zwischen 1.000 und 10.000 Wörtern, die verständlich in grundlegende Konzepte einführen, komplexe Themen erläutern und Informationen zu geographischen Gesellschaften aus aller Welt enthalten. - Entstanden unter der Mitarbeit von mehr als 900 Wissenschaftlern aus über 40 Ländern und bietet damit einen umfassenden und fundierten Überblick über die Geographie in allen Erdteilen. - Deckt das Fachgebiet umfassend ab und berücksichtigt auch die Richtungen Humangeographie, Physikalische Geographie, geographische Informationswissenschaften und -systeme, Erdwissenschaften und Umweltwissenschaften. - Führt interdisziplinäre Sichtweisen zu geographischen Themen und Verfahren zusammen, die auch für die Sozialwissenschaften, Geisteswissenschaften, Naturwissenschaften und Medizin von Interesse sind. - Printausgabe durchgängig in Farbe mit über 1.000 Illustrationen und Fotos. - Online-Ausgabe wird jährlich aktualisiert. |
| from the reading innovation risk mathematical modeling: Math Instruction for Students with Learning Difficulties Susan Perry Gurganus, 2021-11-29 This richly updated third edition of Math Instruction for Students with Learning Difficulties presents a research-based approach to mathematics instruction designed to build confidence and competence in preservice and inservice PreK- 12 teachers. Referencing benchmarks of both the National Council of Teachers of Mathematics and Common Core State Standards for Mathematics, this essential text addresses teacher and student attitudes towards mathematics as well as language issues, specific mathematics disabilities, prior experiences, and cognitive and metacognitive factors. Chapters on assessment and instruction precede strands that focus on critical concepts. Replete with suggestions for class activities and field extensions, the new edition features current research across topics and an innovative thread throughout chapters and strands: multi-tiered systems of support as they apply to mathematics instruction. |
| from the reading innovation risk mathematical modeling: Powering Industry 5.0 and Sustainable Development Through Innovation Bansal, Rohit, Rabby, Fazla, Gandhi, Meenakshi, Pruthi, Nishita, Saini, Shweta, 2024-05-28 Industries face the challenge of incorporating technological innovations while ensuring sustainable development in a constantly changing landscape. This struggle is complicated by the need to address societal and environmental concerns, and thus, there is a critical need for guidance and expertise to navigate these difficulties. Powering Industry 5.0 and Sustainable Development Through Innovation unveils a roadmap for industry stakeholders, offering insights into the role of technological innovations in driving Industry 5.0 while advancing sustainable development goals. By dissecting key elements such as artificial intelligence, big data analytics, and blockchain technology, readers understand how these tools can be harnessed to foster innovation and inclusivity. Moreover, the book explores emerging trends and challenges, equipping readers with the foresight needed to navigate the dynamic landscape of Industry 5.0. |
| from the reading innovation risk mathematical modeling: The Routledge Companion to Banking Regulation and Reform Ismail Ertürk, Daniela Gabor, 2016-10-04 The Routledge Companion to Banking Regulation and Reform provides a prestigious cutting edge international reference work offering students, researchers and policy makers a comprehensive guide to the paradigm shift in banking studies since the historic financial crisis in 2007. The transformation in banking over the last two decades has not been authoritatively and critically analysed by the mainstream academic literature. This unique collection brings together a multi-disciplinary group of leading authorities in the field to analyse and investigate post-crisis regulation and reform. Representing the wide spectrum of non-mainstream economics and finance, topics range widely from financial innovation to misconduct in banking, varieties of Eurozone banking to reforming dysfunctional global banking as well as topical issues such as off-shore financial centres, Libor fixing, corporate governance and the Dodd-Frank Act. Bringing together an authoritative range of international experts and perspectives, this invaluable body of heterodox research work provides a comprehensive compendium for researchers and academics of banking and finance as well as regulators and policy makers concerned with the global impact of financial institutions. |
| from the reading innovation risk mathematical modeling: Innovation and Research – Smart Technologies & Systems Marcelo Zambrano Vizuete, |
| from the reading innovation risk mathematical modeling: Resources in Education , 1997 |
| from the reading innovation risk mathematical modeling: Research in Education , 1972 |
| from the reading innovation risk mathematical modeling: STEM Road Map Carla C. Johnson, Erin E. Peters-Burton, Tamara J. Moore, 2015-07-03 STEM Road Map: A Framework for Integrated STEM Education is the first resource to offer an integrated STEM curricula encompassing the entire K-12 spectrum, with complete grade-level learning based on a spiraled approach to building conceptual understanding. A team of over thirty STEM education professionals from across the U.S. collaborated on the important work of mapping out the Common Core standards in mathematics and English/language arts, the Next Generation Science Standards performance expectations, and the Framework for 21st Century Learning into a coordinated, integrated, STEM education curriculum map. The book is structured in three main parts—Conceptualizing STEM, STEM Curriculum Maps, and Building Capacity for STEM—designed to build common understandings of integrated STEM, provide rich curriculum maps for implementing integrated STEM at the classroom level, and supports to enable systemic transformation to an integrated STEM approach. The STEM Road Map places the power into educators’ hands to implement integrated STEM learning within their classrooms without the need for extensive resources, making it a reality for all students. |
| from the reading innovation risk mathematical modeling: Evolvability Thomas F. Hansen, David Houle, Mihaela Pavlicev, Christophe Pélabon, 2023-06-27 Essays on evolvability from the perspectives of quantitative and population genetics, evolutionary developmental biology, systems biology, macroevolution, and the philosophy of science. Evolvability—the capability of organisms to evolve—wasn’t recognized as a fundamental concept in evolutionary theory until 1990. Though there is still some debate as to whether it represents a truly new concept, the essays in this volume emphasize its value in enabling new research programs and facilitating communication among the major disciplines in evolutionary biology. The contributors, many of whom were instrumental in the development of the concept of evolvability, synthesize what we have learned about it over the past thirty years. They focus on the historical and philosophical contexts that influenced the emergence of the concept and suggest ways to develop a common language and theory to drive further evolvability research. The essays, drawn from a workshop on evolvability hosted in 2019–2020 by the Center of Advanced Study at the Norwegian Academy of Science and Letters, in Oslo, provide scientific and historical background on evolvability. The contributors represent different disciplines of evolutionary biology, including quantitative and population genetics, evolutionary developmental biology, systems biology and macroevolution, as well as the philosophy of science. This pl[urality of approaches allows researchers in disciplines as diverse as developmental biology, molecular biology, and systems biology to communicate with those working in mainstream evolutionary biology. The contributors also discuss key questions at the forefront of research on evolvability. Contributors: J. David Aponte, W. Scott Armbruster, Geir H. Bolstad, Salomé Bourg, Ingo Brigandt, Anne Calof, James M. Cheverud, Josselin Clo, Frietson Galis, Mark Grabowski, Rebecca Green, Benedikt Hallgrímsson, Thomas F. Hansen, Agnes Holstad, David Houle, David Jablonski, Arthur Lander, Arnaud LeRouzic, Alan C. Love, Ralph Marcucio, Michael B. Morrissey, Laura Nuño de la Rosa, Øystein H. Opedal, Mihaela Pavličev, Christophe Pélabon, Jane M. Reid, Heather Richbourg, Jacqueline L. Sztepanacz, Masahito Tsuboi, Cristina Villegas, Marta Vidal-García, Kjetil L. Voje, Andreas Wagner, Günter P. Wagner, Nathan M. Young |
| from the reading innovation risk mathematical modeling: Handbook of Healthcare Analytics Tinglong Dai, Sridhar Tayur, 2018-07-30 How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century? Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers a wide range of macro-, meso- and micro-level thrusts—such as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among others—and structures what has been a highly fragmented research area into a coherent scientific discipline. The handbook also provides an easy-to-comprehend introduction to five essential research tools—Markov decision process, game theory and information economics, queueing games, econometric methods, and data science—by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts. The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective—a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable—can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately. Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose. The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course. |
| from the reading innovation risk mathematical modeling: Person-Centered Outcome Metrology William P. Fisher, Jr., Stefan J. Cano, 2022-12-02 This unique collection of chapters from world experts on person-centered outcome (PCO) measures addresses the following critical questions: Can individual experiences be represented in measurements that do not reduce unique differences to meaningless uniformity? How person-centric are PCO measures? Are PCO measurements capable of delivering the kind of quality assured quantification required for high-stakes decision making? Are PCO measures likely to support improved health care delivery? Have pivotal clinical studies failed to deliver treatments for diseases because of shortcomings in the PCO measures used? Are these shortcomings primarily matters of precision and meaningfulness? Or is the lack of common languages for communicating outcomes also debilitating to quality improvement, research, and the health care economy? Three key issues form an urgent basis for further investigation. First, the numbers generated by PCO measures are increasingly used as the central dependent variables upon which high stakes decisions are made. The rising profile of PCO measures places new demands for higher quality information from scale and test construction, evaluation, selection, and interpretation. Second, PCO measurement science has well-established lessons to be learned from those who have built and established the science over many decades. Finally, the goal in making a PCO measurement is to inform outcome management. As such, it is vitally important that key stakeholders understand that, over the last half century, developments in psychometrics have refocused measurement on illuminating clinically important individual differences in the context of widely reproduced patterns of variation in health and functioning, comparable scale values for quality improvement, and practical explanatory models. This book’s audience includes anyone interested in person-centered care, including healthcare researchers and practitioners, policy makers, pharmaceutical industry representatives, clinicians, patient advocates, and metrologists. This is an open access book. |
| from the reading innovation risk mathematical modeling: Building Thinking Classrooms in Mathematics, Grades K-12 Peter Liljedahl, 2020-09-28 A thinking student is an engaged student Teachers often find it difficult to implement lessons that help students go beyond rote memorization and repetitive calculations. In fact, institutional norms and habits that permeate all classrooms can actually be enabling non-thinking student behavior. Sparked by observing teachers struggle to implement rich mathematics tasks to engage students in deep thinking, Peter Liljedahl has translated his 15 years of research into this practical guide on how to move toward a thinking classroom. Building Thinking Classrooms in Mathematics, Grades K–12 helps teachers implement 14 optimal practices for thinking that create an ideal setting for deep mathematics learning to occur. This guide Provides the what, why, and how of each practice and answers teachers’ most frequently asked questions Includes firsthand accounts of how these practices foster thinking through teacher and student interviews and student work samples Offers a plethora of macro moves, micro moves, and rich tasks to get started Organizes the 14 practices into four toolkits that can be implemented in order and built on throughout the year When combined, these unique research-based practices create the optimal conditions for learner-centered, student-owned deep mathematical thinking and learning, and have the power to transform mathematics classrooms like never before. |
| from the reading innovation risk mathematical modeling: Tail Risk Killers: How Math, Indeterminacy, and Hubris Distort Markets Jeffrey McGinn, 2012-01-06 Reshape your investing strategy for an increasingly uncertain world “An engrossing, fast-paced, terrific read for anyone interested in the financial imbalances due to too much reliance on math and too little respect for indeterminacy.” —Tyler Durden, ZeroHedge.com The world does not unfold according to a fixed set of rules. It is a dynamical system whose evolution looks like a bell curve with fat “tails.” The same is true of financial markets. However, every day we rely on the certainty and precision of mathematical strategies that assume the contrary to control and grow wealth in markets. Tail Risk Killers shows you how the rigidity of model-based thinking has led to the fragility of today’s global financial marketplace, and it explains how to use adaptive trading strategies to mitigate risk in impending market conditions. Risk management veteran Jeff McGinn pokes holes in prevalent assumptions about how financial markets act that tend to underestimate the likelihood of occurrence of extreme events. Through clear, conversational writing, real-world anecdotes, and easy-tofollow formulas, he provides a glimpse into the way tomorrow’s successful traders are viewing financial markets—with an eye for probability distributions. While illustrating how to protect your assets from tail risk, he shows you how to: Implement the six axioms for risk management Prepare for the unintended consequences of central banks suppressing tail risk Identify and avoid the dark risks hidden in today’s derivative-laden financial system Anticipate the fate of credit default swaps that may not face extinction McGinn argues that the intervention of central banks has robbed global markets of their opportunities to adapt, but this highly relevant book shows you that it is not too late to adapt your portfolio to survive the extreme events that happen more often than popular financial models suggest. Tail Risk Killers helps you discover useful information and processes beyond the focus of industry standards, helps you connect the dots of evolving trading strategies and time your next trade for maximum profitability. |
| from the reading innovation risk mathematical modeling: The Oxford Handbook of Financial Regulation Niamh Moloney, Eilís Ferran, Jennifer Payne, 2015-08-27 The financial system and its regulation have undergone exponential growth and dramatic reform over the last thirty years. This period has witnessed major developments in the nature and intensity of financial markets, as well as repeated cycles of regulatory reform and development, often linked to crisis conditions. The recent financial crisis has led to unparalleled interest in financial regulation from policymakers, economists, legal practitioners, and the academic community, and has prompted large-scale regulatory reform. The Oxford Handbook of Financial Regulation is the first comprehensive, authoritative, and state of the art account of the nature of financial regulation. Written by an international team of leading scholars in the field, it takes a contextual and comparative approach to examine scholarly, policy, and regulatory developments in the past three decades. The first three parts of the Handbook address the underpinning horizontal themes which arise in financial regulation: financial systems and regulation; the organization of financial system regulation, including regional examples from the EU and the US; and the delivery of outcomes and regulatory techniques. The final three Parts address the perennial objectives of financial regulation, widely regarded as the anchors of financial regulation internationally: financial stability, market efficiency, integrity, and transparency; and consumer protection. The Oxford Handbook of Financial Regulation is an invaluable resource for scholars and students of financial regulation, economists, policy-makers and regulators. |
| from the reading innovation risk mathematical modeling: Gifted Students and Inclusion Sarah Schaffer, 1996 Contains journal articles and excerpts from books published between 1993 and 1996. |
| from the reading innovation risk mathematical modeling: Dynamics of Markets Joseph L. McCauley, 2004-05-06 Text introducing a new empirically-based model of financial market dynamics. |
| from the reading innovation risk mathematical modeling: Ensuring Global Food Safety Christine Boisrobert, Sangsuk Oh, Aleksandra Stjepanovic, Huub Lelieveld, 2009-11-11 Taking into account toxicity levels at normal consumption levels, intake per kg bodyweight and other acknowledged considerations, each chapter in this book will be based on one or more proven examples. It is intended to provide specific examples and potential improvements to the safety of the world's food supply, while also increasing the amount of food available to those in undernourished countries. This book is designed to to provide science-based tools for improving legislation and regulation. - Reduce amount of food destroyed due to difference in regulations between nations - Positively impact the time-to-market of new food products by recognizing benefit of one rule that applies to all - Use the comparison of regulations and resulting consequences to make appropriate, fully-informed decisions - Employ proven science to obtain global consensus for regulations - Understand how to harmonize test protocols and analytical methods for accurate measurement and evaluation - Take advantage of using a risk/benefit based approach rather than risk/avoidance to maximize regulatory decisions |
| from the reading innovation risk mathematical modeling: Handbook of Economic Organization Anna Grandori, 2013-01-01 ÔThis excellent volume brings together some of the most interesting writings on economic organization. It covers a vast range of topics that fall under the heading of economic organization, and most if not all aspects of a variety of organizational economics and organization theories are presented. Interestingly, this book also extends beyond the more traditional approaches informed by economics and organization theory as it broadens the horizon of the field by including relevant contributions from economic sociology, cognitive psychology, law, and strategic management. Given its breadth and depth, this volume will become one of the standard reference books that will inspire both theoretical and empirical research.Õ Ð John Hagedoorn, Maastricht University, The Netherlands ÔThis important new Handbook of Economic Organization is a highly successful attempt to integrate economic and organization theory. Anna Grandori, who is herself a leading scholar located at the boundaries of economics and organization theory, is to be congratulated on doing a superb job bringing together such a high profile group of internationally acknowledged scholars. Each of the essays in the book are original and contribute to demonstrating the valuable insights that economics can make to our understanding of organization and organizational design. Anna GrandoriÕs introductory and concluding chapters are not only excellent audits of the current state of our knowledge in this field but they also give a strong sense of direction for the possible futures of the discipline. Anna Grandori is not afraid to face head on some of the more philosophical issues relating to ÒorganizationÓ as an object of study and is to be commended for doing so. The economics of organization is a new, exciting and developing field and the essays in this book will help to shape the research agenda that will take this emergent discipline to its next stage.Õ Ð Peter M. Jackson, University of Leicester, UK ÔThis sweeping, comprehensive volume is a signal effort in building bridges between economics and organization theory. With a stellar cast of contributors, it will both inspire and provoke scholars with its grand amibitions, and generate considerable attention and debate. A remarkable effort by Anna Grandori.Õ Ð Walter W. Powell, Stanford University, US ÔAnna Grandori has astutely organized the commissioned chapters of an intellectually diverse set of scholars into an absolutely outstanding contribution that both defines the current state of organizational economics and points the perceptive reader toward an exciting intellectual future. From traditional research areas to the newest topics of interest, the chapters chart the current boundaries of the field. The chapters are filled with gems of insight across several distinct levels of analysis, whether it is a discussion of organizational design, or psychological economics or innovation or the organization as language, the discussions are contemporary, comprehensive and challenging. No serious scholar of organizational economics should be without this book.Õ Ð Richard N. Osborn, Wayne State University, US This comprehensive and groundbreaking Handbook integrates economic and organization theories to help elucidate the design and evolution of economic organization. Economic organization is regarded both as a subject of inquiry and as an emerging disciplinary field in its own right, integrating insights from economics, organization theory, strategy and management, economic sociology and cognitive psychology. The contributors, who share this integrated approach, are distinguished scholars at the productive peak in their fields. Each original, state-of-the art chapter not only addresses foundational issues, but also identifies key issues for future research. This original and wide-ranging Handbook will be a useful and thought-provoking read for academics, students and researchers in the fields of organization, management and economics. |
| from the reading innovation risk mathematical modeling: Handbook of Digital Homecare Kanagasingam Yogesan, Peter Brett, Michael Christopher Gibbons, 2009-10-01 Digital Homecare is a collection of services to deliver, maintain and improve care in the home environment using the latest ICT technology and devices. It is important to recognize the wide range of issues that are covered by digital homecare. This book shows a good selection of related issues, be it experience, technologies, managerial issues or standardization. A very diverse audience; elderly, people with chronic conditions, disabled, to name the most important groups, benefits from digital homecare, within the comfort and protection of their own homes. |
| from the reading innovation risk mathematical modeling: Networks of Echoes Bruce J. West, Malgorzata Turalska, Paolo Grigolini, 2014-04-03 Networks of Echoes: Imitation, Innovation and Invisible Leaders is a mathematically rigorous and data rich book on a fascinating area of the science and engineering of social webs. There are hundreds of complex network phenomena whose statistical properties are described by inverse power laws. The phenomena of interest are not arcane events that we encounter only fleetingly, but are events that dominate our lives. We examine how this intermittent statistical behavior intertwines itself with what appears to be the organized activity of social groups. The book is structured as answers to a sequence of questions such as: How are decisions reached in elections and boardrooms? How is the stability of a society undermined by zealots and committed minorities and how is that stability re-established? Can we learn to answer such questions about human behavior by studying the way flocks of birds retain their formation when eluding a predator? These questions and others are answered using a generic model of a complex dynamic network—one whose global behavior is determined by a symmetric interaction among individuals based on social imitation. The complexity of the network is manifest in time series resulting from self-organized critical dynamics that have divergent first and second moments, are non-stationary, non-ergodic and non-Poisson. How phase transitions in the network dynamics influence such activity as decision making is a fascinating story and provides a context for introducing many of the mathematical ideas necessary for understanding complex networks in general. The decision making model (DMM) is selected to emphasize that there are features of complex webs that supersede specific mechanisms and need to be understood from a general perspective. This insightful overview of recent tools and their uses may serve as an introduction and curriculum guide in related courses. |
| from the reading innovation risk mathematical modeling: Econophysics and Data Driven Modelling of Market Dynamics Frédéric Abergel, Hideaki Aoyama, Bikas K. Chakrabarti, Anirban Chakraborti, Asim Ghosh, 2015-01-27 This book presents the works and research findings of physicists, economists, mathematicians, statisticians, and financial engineers who have undertaken data-driven modelling of market dynamics and other empirical studies in the field of Econophysics. During recent decades, the financial market landscape has changed dramatically with the deregulation of markets and the growing complexity of products. The ever-increasing speed and decreasing costs of computational power and networks have led to the emergence of huge databases. The availability of these data should permit the development of models that are better founded empirically, and econophysicists have accordingly been advocating that one should rely primarily on the empirical observations in order to construct models and validate them. The recent turmoil in financial markets and the 2008 crash appear to offer a strong rationale for new models and approaches. The Econophysics community accordingly has an important future role to play in market modelling. The Econophys-Kolkata VIII conference proceedings are devoted to the presentation of many such modelling efforts and address recent developments. A number of leading researchers from across the globe report on their recent work, comment on the latest issues, and review the contemporary literature. |
| from the reading innovation risk mathematical modeling: Exceptional Child Education Resources , 1994 |
| from the reading innovation risk mathematical modeling: Investing in Science Massimo Florio, 2019-10-15 A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines. Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments. In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects. The core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information. Florio develops a simple framework for such accounting in the research infrastructure context and then offers a systematic analysis of the benefits in terms of the social agents involved. He measures the benefits to scientists, students, and postdoctoral researchers; the effect on firms of knowledge spillovers; the benefits to users of information technology and science-based innovation; the welfare effects on the general public of cultural services provided by RIs; and the willingness of taxpayers to fund scientific knowledge creation. Finally, Florio shows how these costs and benefits can be expressed in the form of stochastic net present value and other summary indicators. |
| from the reading innovation risk mathematical modeling: Modeling Human and Organizational Behavior National Research Council, Division of Behavioral and Social Sciences and Education, Board on Human-Systems Integration, Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations, 1998-08-31 Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior. |
| from the reading innovation risk mathematical modeling: A First Course in Systems Biology Eberhard Voit, 2017-09-05 A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection. |
| from the reading innovation risk mathematical modeling: Thesaurus of ERIC Descriptors , 1980 |
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