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| economics and computer science: Mathematical Economics Kelvin Lancaster, 2012-10-10 Graduate-level text provides complete and rigorous expositions of economic models analyzed primarily from the point of view of their mathematical properties, followed by relevant mathematical reviews. Part I covers optimizing theory; Parts II and III survey static and dynamic economic models; and Part IV contains the mathematical reviews, which range fromn linear algebra to point-to-set mappings. |
| economics and computer science: Internet Economics Lee W. McKnight, Joseph P. Bailey, 1998 The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include architectural models and analyses of Internet usage, as well as alternative pricing policies. The book is organized into six sections: 1) Introduction to Internet Economics, 2) The Economics of the Internet, 3) Interconnection and Multicast Economics, 4) Usage Sensitive Pricing, 5) Internet Commerce, and 6) Internet Economics and Policy. Contributors Loretta Anania, Joseph P. Bailey, Nevil Brownlee, David Carver, David Clark, David W. Crawford, Ketil Danielsen, Deborah Estrin, Branko Gerovac, David Gingold, Jiong Gong, Alok Gupta, Shai Herzog, Clark Johnson, Martyne M. Hallgren, Frank P. Kelly, Charlie Lai, Alan K. McAdams, Jeffrey K. MacKie-Mason, Lee W. McKnight, Gennady Medvinsky, Liam Murphy, John Murphy, B. Clifford Neuman, Jon M. Peha, Joseph Reagle, Mitrabarun Sarkar, Scott Shenker, Marvin A. Sirbu, Richard Jay Solomon, Padmanabhan Srinagesh, Dale O. Stahl, Hal R. Varian, Qiong Wang, Martin Weiss, Andrew B. Whinston |
| economics and computer science: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| economics and computer science: Computational Economics David A. Kendrick, P. Ruben Mercado, Hans M. Amman, 2011-10-23 The ability to conceptualize an economic problem verbally, to formulate it as a mathematical model, and then represent the mathematics in software so that the model can be solved on a computer is a crucial skill for economists. Computational Economics contains well-known models--and some brand-new ones--designed to help students move from verbal to mathematical to computational representations in economic modeling. The authors' focus, however, is not just on solving the models, but also on developing the ability to modify them to reflect one's interest and point of view. The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance. The authors employ various software systems--including MATLAB, Mathematica, GAMS, the nonlinear programming solver in Excel, and the database systems in Access--to enable students to use the most advantageous system. The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program. The book is intended for use by advanced undergraduates and professional economists and even, as a first exposure to computational economics, by graduate students. Organized by economic topics Progresses from simple to more complex models Includes instructions on numerous software systems Encourages customization and creativity |
| economics and computer science: Economics and Computation Jörg Rothe, 2024 This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource (cake-cutting) and multiple indivisible and unshareable resources (multiagent resource allocation). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest. |
| economics and computer science: Computational Economics Oscar Afonso, Paulo B. Vasconcelos, 2015-08-27 Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics. |
| economics and computer science: Complexity Theory, Game Theory, and Economics Tim Roughgarden, 2020-03-02 This monograph comprises a series of ten lectures divided into two parts. Part 1 focuses on the communication and computational complexity of computing an (approximate) Nash equilibrium. Part 2 focuses on applications of computational complexity theory to game theory and economics. |
| economics and computer science: Data Science for Economics and Finance Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana, 2021 This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications. |
| economics and computer science: The Economics of Computers William F. Sharpe, 1969 |
| economics and computer science: Beyond the Worst-Case Analysis of Algorithms Tim Roughgarden, 2021-01-14 Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks. |
| economics and computer science: Economic Dynamics, second edition John Stachurski, 2022-08-16 The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems. This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field. New for the second edition: “Programming-language agnostic” presentation using pseudocode. New chapter 1 covering conceptual issues concerning Markov chains such as ergodicity and stability. New focus in chapter 2 on algorithms and techniques for program design and high-performance computing. New focus on household problems rather than optimal growth in material on dynamic programming. Solutions to many exercises, code, and other resources available on a supplementary website. |
| economics and computer science: Economics of Information Security L. Jean Camp, Stephen Lewis, 2006-04-11 Designed for managers struggling to understand the risks in organizations dependent on secure networks, this book applies economics not to generate breakthroughs in theoretical economics, but rather breakthroughs in understanding the problems of security. |
| economics and computer science: The Science of Economics Raymond Makewell, 2013-06-01 Based on a three-year course prepared by Leon MacLaren for the School of Economic Science in London in the late 1960s, this book reassesses the first principles of economics. Leon MacLaren (1910–1994) was a barrister, politician, philosopher, and the founder of the School of Economic Science. In his view, science is a study of laws that exist in nature, while economics is a study of the humanities with the interaction between human nature and the natural universe at its heart. With original subject matter from his economic course and introducing more recent examples and statistics from Australia, Canada, New Zealand, the UK, and the United States, the study examines the major characteristics of the modern economy—such as banking, taxation, and international trade—and considers the role of the government in economic affairs. It concludes with an examination of society's structure as a whole, the part economic activity plays in the bigger picture, and the social and cultural influences that shape the production and distribution of wealth. |
| economics and computer science: Science in the Age of Computer Simulation Eric Winsberg, 2010-10-30 Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Scrutinizing these issues with a philosophical lens, Eric Winsberg explores the impact of simulation on such issues as the nature of scientific evidence, the role of values in science, the nature and role of fictions in science, and the relationship between simulation and experiment, theories and data, and theories at different levels of description--Cover. |
| economics and computer science: Differential Equations and Numerical Analysis Valarmathi Sigamani, John J. H. Miller, Ramanujam Narasimhan, Paramasivam Mathiazhagan, Franklin Victor, 2016-08-18 This book offers an ideal introduction to singular perturbation problems, and a valuable guide for researchers in the field of differential equations. It also includes chapters on new contributions to both fields: differential equations and singular perturbation problems. Written by experts who are active researchers in the related fields, the book serves as a comprehensive source of information on the underlying ideas in the construction of numerical methods to address different classes of problems with solutions of different behaviors, which will ultimately help researchers to design and assess numerical methods for solving new problems. All the chapters presented in the volume are complemented by illustrations in the form of tables and graphs. |
| economics and computer science: The Economics of Attention Richard A. Lanham, 2006-04-21 If economics is about the allocation of resources, then what is the most precious resource in our new information economy? Certainly not information, for we are drowning in it. No, what we are short of is the attention to make sense of that information. With all the verve and erudition that have established his earlier books as classics, Richard A. Lanham here traces our epochal move from an economy of things and objects to an economy of attention. According to Lanham, the central commodity in our new age of information is not stuff but style, for style is what competes for our attention amidst the din and deluge of new media. In such a world, intellectual property will become more central to the economy than real property, while the arts and letters will grow to be more crucial than engineering, the physical sciences, and indeed economics as conventionally practiced. For Lanham, the arts and letters are the disciplines that study how human attention is allocated and how cultural capital is created and traded. In an economy of attention, style and substance change places. The new attention economy, therefore, will anoint a new set of moguls in the business world—not the CEOs or fund managers of yesteryear, but new masters of attention with a grounding in the humanities and liberal arts. Lanham’s The Electronic Word was one of the earliest and most influential books on new electronic culture. The Economics of Attention builds on the best insights of that seminal book to map the new frontier that information technologies have created. |
| economics and computer science: Dynamic Programming Eric V. Denardo, 2012-12-27 Designed both for those who seek an acquaintance with dynamic programming and for those wishing to become experts, this text is accessible to anyone who's taken a course in operations research. It starts with a basic introduction to sequential decision processes and proceeds to the use of dynamic programming in studying models of resource allocation. Subsequent topics include methods for approximating solutions of control problems in continuous time, production control, decision-making in the face of an uncertain future, and inventory control models. The final chapter introduces sequential decision processes that lack fixed planning horizons, and the supplementary chapters treat data structures and the basic properties of convex functions. 1982 edition. Preface to the Dover Edition. |
| economics and computer science: Linear Programming and Economic Analysis Robert Dorfman, Paul A. Samuelson, Robert M. Solow, 2012-10-10 Designed primarily for economists and those interested in management economics who are not necessarily accomplished mathematicians, this text offers a clear, concise exposition of the relationship of linear programming to standard economic analysis. The research and writing were supported by The RAND Corporation in the late 1950s. Linear programming has been one of the most important postwar developments in economic theory, but until publication of the present volume, no text offered a comprehensive treatment of the many facets of the relationship of linear programming to traditional economic theory. This book was the first to provide a wide-ranging survey of such important aspects of the topic as the interrelations between the celebrated von Neumann theory of games and linear programming, and the relationship between game theory and the traditional economic theories of duopoly and bilateral monopoly. Modern economists will especially appreciate the treatment of the connection between linear programming and modern welfare economics and the insights that linear programming gives into the determinateness of Walrasian equilibrium. The book also offers an excellent introduction to the important Leontief theory of input-output as well as extensive treatment of the problems of dynamic linear programming. Successfully used for three decades in graduate economics courses, this book stresses practical problems and specifies important concrete applications. |
| economics and computer science: The Computer Book Simson L Garfinkel, Rachel H. Grunspan, 2019-01-15 An illustrated journey through 250 milestones in computer science, from the ancient abacus to Boolean algebra, GPS, and social media. With 250 illustrated landmark inventions, publications, and events—encompassing everything from ancient record-keeping devices to the latest computing technologies—The Computer Book takes a chronological journey through the history and future of computer science. Two expert authors, with decades of experience working in computer research and innovation, explore topics including: the Sumerian abacus * the first spam message * Morse code * cryptography * early computers * Isaac Asimov’s laws of robotics * UNIX and early programming languages * movies * video games * mainframes * minis and micros * hacking * virtual reality * and more “What a delight! A fast trip through the computing landscape in the company of friendly tour guides who know the history.” —Harry Lewis, Gordon McKay Professor of Computer Science, Harvard University |
| economics and computer science: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Chkoniya, Valentina, 2021-06-25 The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students. |
| economics and computer science: Software Engineering Economics Barry W. Boehm, 1981 Software Engineering Economics is an invaluable guide to determining software costs, applying the fundamental concepts of microeconomics to software engineering, and utilizing economic analysis in software engineering decision making. |
| economics and computer science: Advances in Intelligent Systems, Computer Science and Digital Economics IV Zhengbing Hu, Yong Wang, Matthew He, 2023-01-28 This book comprises high-quality peer-reviewed research papers presented at the 4th International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2022), held in Wuhan, China, from November 11–13, 2022, organized jointly by the Wuhan University of Technology, Hubei University of Technology, Wuhan University of Science and Technology, the Polish Operational and Systems Society, and the International Center of Informatics and Computer Science (ICICS). The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and educational approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management. |
| economics and computer science: The Fourth Industrial Revolution Klaus Schwab, 2017-01-03 World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wearable sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manufacturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individuals. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frameworks that advance progress. |
| economics and computer science: Advances in Intelligent Systems, Computer Science and Digital Economics III Zhengbing Hu, Sergei Gavriushin, Sergey Petoukhov, Matthew He, 2022-03-10 The book comprises high-quality refereed research papers presented at the Third International Symposium on Computer Science, Digital Economy, and Intelligent Systems (CSDEIS2021), held in Moscow, Russia, on December 25-26, 2021, organized jointly by the Mechanical Engineering Research Institute of the Russian Academy of Sciences,Moscow State Technical University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book includes state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and methodological approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management. |
| economics and computer science: Selfish Routing and the Price of Anarchy Tim Roughgarden, 2005-05-06 An analysis of the loss in performance caused by selfish, uncoordinated behavior in networks. Most of us prefer to commute by the shortest route available, without taking into account the traffic congestion that we cause for others. Many networks, including computer networks, suffer from some type of this selfish routing. In Selfish Routing and the Price of Anarchy, Tim Roughgarden studies the loss of social welfare caused by selfish, uncoordinated behavior in networks. He quantifies the price of anarchy—the worst-possible loss of social welfare from selfish routing—and also discusses several methods for improving the price of anarchy with centralized control. Roughgarden begins with a relatively nontechnical introduction to selfish routing, describing two important examples that motivate the problems that follow. The first, Pigou's Example, demonstrates that selfish behavior need not generate a socially optimal outcome. The second, the counterintiuitve Braess's Paradox, shows that network improvements can degrade network performance. He then develops techniques for quantifying the price of anarchy (with Pigou's Example playing a central role). Next, he analyzes Braess's Paradox and the computational complexity of detecting it algorithmically, and he describes Stackelberg routing, which improves the price of anarchy using a modest degree of central control. Finally, he defines several open problems that may inspire further research. Roughgarden's work will be of interest not only to researchers and graduate students in theoretical computer science and optimization but also to other computer scientists, as well as to economists, electrical engineers, and mathematicians. |
| economics and computer science: Creating the Market University Elizabeth Popp Berman, 2012-01-08 Academic science in the U.S. once self-consciously avoided the market. But today it is seen as an economic engine that keeps the nation globally competitive. Creating the Market University compares the origins of biotech entrepreneurship, university patenting, and university-industry research centers to show how government decisions shaped by a new argument--that innovation drives the economy-transformed academic science-- Provided by publisher. |
| economics and computer science: Economics of Grids, Clouds, Systems, and Services Konstantinos Tserpes, Jörn Altmann, José Ángel Bañares, Orna Agmon Ben-Yehuda, Karim Djemame, Vlado Stankovski, Bruno Tuffin, 2021 Chapters AI Technologies and Motives for AI Adoption by Countries and Firms: A Systematic Literature Review; Knowledge Management Framework for Cloud Federation; Architecture for Orchestrating Containers in Cloud and Towards Software Compliance Specification and Enforcement using TOSCA are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| economics and computer science: Social and Economic Networks Matthew O. Jackson, 2010-11-01 Networks of relationships help determine the careers that people choose, the jobs they obtain, the products they buy, and how they vote. The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function. This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business. |
| economics and computer science: Mathematical Methods and Theory in Games, Programming, and Economics Samuel Karlin, 1959 V. 1 : Matrix games, programming, and mathematical economics. v. 2 : The theory of infinite games. |
| economics and computer science: Game Theoretic Problems in Network Economics and Mechanism Design Solutions Y. Narahari, Dinesh Garg, Ramasuri Narayanam, Hastagiri Prakash, 2009-04-03 This monograph focuses on exploring game theoretic modeling and mechanism design for problem solving in Internet and network economics. For the first time, the main theoretical issues and applications of mechanism design are bound together in a single text. |
| economics and computer science: Cloud Computing Service and Deployment Models: Layers and Management Bento, Al, 2012-10-31 This book presents a collection of diverse perspectives on cloud computing and its vital role in all components of organizations, improving the understanding of cloud computing and tackling related concerns such as change management, security, processing approaches, and much more--Provided by publisher. |
| economics and computer science: Twenty Lectures on Algorithmic Game Theory Tim Roughgarden, 2016-08-30 Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management. |
| economics and computer science: Advances in Intelligent Systems, Computer Science and Digital Economics II Zhengbing Hu, Sergey Petoukhov, Matthew He, 2021-06-23 This book comprises high-quality refereed research papers presented at The Second International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2020), held in Moscow, Russia, on December 18–20, 2020, organized jointly by Moscow State Technical University and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and methodological approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and management. |
| economics and computer science: Thinking Like an Economist Elizabeth Popp Berman, 2023-08-08 The story of how economic reasoning came to dominate Washington between the 1960s and 1980s—and why it continues to constrain progressive ambitions today For decades, Democratic politicians have frustrated progressives by tinkering around the margins of policy while shying away from truly ambitious change. What happened to bold political vision on the left, and what shrunk the very horizons of possibility? In Thinking like an Economist, Elizabeth Popp Berman tells the story of how a distinctive way of thinking—an “economic style of reasoning”—became dominant in Washington between the 1960s and the 1980s and how it continues to dramatically narrow debates over public policy today. Introduced by liberal technocrats who hoped to improve government, this way of thinking was grounded in economics but also transformed law and policy. At its core was an economic understanding of efficiency, and its advocates often found themselves allied with Republicans and in conflict with liberal Democrats who argued for rights, equality, and limits on corporate power. By the Carter administration, economic reasoning had spread throughout government policy and laws affecting poverty, healthcare, antitrust, transportation, and the environment. Fearing waste and overspending, liberals reined in their ambitions for decades to come, even as Reagan and his Republican successors argued for economic efficiency only when it helped their own goals. A compelling account that illuminates what brought American politics to its current state, Thinking like an Economist also offers critical lessons for the future. With the political left resurgent today, Democrats seem poised to break with the past—but doing so will require abandoning the shibboleth of economic efficiency and successfully advocating new ways of thinking about policy. |
| economics and computer science: Analytical Political Economy Roberto Veneziani, Luca Zamparelli, 2018-06-11 Offering a unique picture of recent developments in a range of non-conventional theoretical approaches in economics, this book introduces readers to the study of Analytical Political Economy and the changes within the subject. Includes a wide range of topics and theoretical approaches that are critically and thoroughly reviewed Contributions within the book are written according to the highest standards of rigor and clarity that characterize academic work Provides comprehensive and well-organized surveys of cutting-edge empirical and theoretical work covering an exceptionally wide range of areas and fields Topics include macroeconomic theories of growth and distribution; agent-based and stock-flow consistent models; financialization and Marxian price and value theory Investigates exploitation theory; trade theory; the role of expectations and ‘animal spirits’ on macroeconomic performance as well as empirical research in Marxian economics |
| economics and computer science: Cracking the PM Interview Gayle Laakmann McDowell, Jackie Bavaro, 2013 How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named PM (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important pitch. |
| economics and computer science: Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions Matt Taddy, 2019-08-23 Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling Understand how use ML tools in real world business problems, where causation matters more that correlation Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science. |
| economics and computer science: Introduction to Economic Analysis R. Preston McAfee, 2009-09-24 This book presents introductory economics material using standard mathematical tools, including calculus. It is designed for a relatively sophisticated undergraduate who has not taken a basic university course in economics. The book can easily serve as an intermediate microeconomics text. The focus of this book is on the conceptual tools. Contents: 1) What is Economics? 2) Supply and Demand. 3) The US Economy. 4) Producer Theory. 5) Consumer Theory. 6) Market Imperfections. 7) Strategic Behavior. |
| economics and computer science: MPI William Gropp, 1998 |
| economics and computer science: Narrative Economics Robert J. Shiller, 2020-09-01 From Nobel Prize–winning economist and New York Times bestselling author Robert Shiller, a groundbreaking account of how stories help drive economic events—and why financial panics can spread like epidemic viruses Stories people tell—about financial confidence or panic, housing booms, or Bitcoin—can go viral and powerfully affect economies, but such narratives have traditionally been ignored in economics and finance because they seem anecdotal and unscientific. In this groundbreaking book, Robert Shiller explains why we ignore these stories at our peril—and how we can begin to take them seriously. Using a rich array of examples and data, Shiller argues that studying popular stories that influence individual and collective economic behavior—what he calls narrative economics—may vastly improve our ability to predict, prepare for, and lessen the damage of financial crises and other major economic events. The result is nothing less than a new way to think about the economy, economic change, and economics. In a new preface, Shiller reflects on some of the challenges facing narrative economics, discusses the connection between disease epidemics and economic epidemics, and suggests why epidemiology may hold lessons for fighting economic contagions. |
Computer Science and Economics - Yale University
Computer Science and Economics (CSEC) is an interdepartmental major for students interested in the theoretical and practical connections between computer science and economics. The …
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ECSc - Massachusetts Institute of Technology
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The College of Arts & Sciences and the McKelvey School of Engineering have developed a major that allows students interested in both economics and computer science to combine these two …
ECONOMICS- COMPUTER SCIENCE JOINT MAJOR
4 Computer Science Foundation Courses. CS 170: Introduction to Computer Science. CS 171: Introduction to Computer Science II. CS 224: Foundation of Computer Science. CS 253: Data …
COMPUTER APPLICATIONS IN ECONOMICS - University of …
V Sem. BA Economics – Core course - Computer Applications in Economics Page 8 COMPUTER GENERATIONS Over the past five decades, digital computers have gone through five …
Computer Science + Economics (BS) - catalog.depaul.edu
Economic Reasoning and Analysis: Student can employ an economic theory or model to analyze the impact of changes in economic variables. Impact of Government Policies: Student can …
Economics Computer Science- - Brown University
The joint Computer Science-Economics concentration exposes students to the theoretical and practical connections between computer science and economics.
Computer Science, Economics, and Data Science (Course 6-14)
COMPUTER SCIENCE, ECONOMICS, AND DATA SCIENCE (COURSE 6-14) Economics Electives Select three of the following, including at least one subject from each group: 36 Dat a …
Computer Science and Economics, BS - Northeastern …
The combined major in computer science and economics integrates fundamental economics courses with a strong programming foundation. Studying both the behavior of individuals and …
Computer Science + Economics Major (CS+ECON) BSLAS …
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B2009 – Bachelor of Economics/Bachelor of Computer Science
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Computer Science, Economics, and Data Science
Computer science and data science provide tools for problem solving, and economics applies those tools to domains where there is rapidly growing intellectual, scholarly, and commercial …
Bachelor of Science in Computer Science + Economics
The College of Arts & Sciences and the McKelvey School of Engineering have developed a new major that allows students interested in both economics and computer science to combine …
Computer Science + Economics Major (CS+ECON) BSLAS …
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1. Introduction to Economics and Computation - UZH
Fundamental to economics is to understand what outcomes can be achieved in systems with multiple actors (e.g., what resource allocations, production decisions, actions) under incentive …
Computer Science, Economics, and Data Science (Course 6-14P)
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Economics, Computer Science, and Policy Cross-fertilization of ideas and techniques between economics and computer science is yielding fresh insights that can help inform policy …
Economics, Computer Science, and Policy - seas.upenn.edu
The computer science of economics The flow of ideas between computer science and eco-nomics is traveling in both directions, as some economists have begun to apply the insights and …
Computer Science and Game Theory - Stanford University
interaction between computer science and game theory could be around what might be called game theory pragmatics. 1 Introduction Game theory has influenced many fields, from …
Cornell University
ESSAYS ON ECONOMICS AND COMPUTER SCIENCE Tyler Matthew Porter, Ph.D. Cornell University 2021 This dissertation considers a number of problems in pure and applied game …
BS in Data Science - catalog.utoledo.edu
information science and technology, economics, computer science and engineering or physics also constitute concentrations; students interested in other areas should consult with their …
ANALYZING THE ROLE OF COMPUTER SCIENCE IN SHAPING …
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Data Science Major
computer science, with a deep emphasis on Machine Learning and Artificial Intelligence. The Economics track includes courses in microeconomics, macroeconomics, as well as other …
Introduction Main training areas (210 credit): BSc Computer
The program aims to qualify computer science engineers with solid engineering skills who are competent to ... o Management and Business Economics (BMEGT20A001) o Micro- and …
Curriculum Flow Chart for Computer Science + Economics
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What is Coordination Theory? - Massachusetts Institute of …
disciplines including computer science, organization theory, management science, economics, and psychology. Work in this new area will include developing a body of scientific theory, …
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Economics, Computer Science, and Policy - cis.upenn.edu
The computer science of economics The flow of ideas between computer science and eco-nomics is traveling in both directions, as some economists have begun to apply the insights and …
What is Coordination Theory? - Massachusetts Institute of …
Feb 19, 1988 · disciplines including computer science, organization theory, management science, economics, and psychology. Work in this new area will include developing a body of scientific …
Bachelor of Economics / Computer Science 3673 - UNSW …
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MASTER OF SCIENCE IN ECONOMICS (MS ECON) PROGRAM NOTES PROGRAM REQUIREMENTS ECONOMICS ... ECE, IE, or ME), Mathematics, Computer . Science, or …
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Introduction BSc Computer Engineering Curriculum - BME
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Inspira-Journal of Commerce, Economics & Computer …
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Majors & Minors at Marist - Marist College
topics in science, computer science, operations research, business, finance, or manufacturing is as the core of applied mathematics. The Bachelor of Science in Applied Mathematics is a …
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Economics, Computer Science, and Policy - JSTOR
MICHAEL KEARNS Economics, Computer Science, and Policy Cross-fertilization of ideas and techniques between economics and computer science is yielding fresh insights that can help
Cognitive Science - Columbia University
Cognitive Science is an interdisciplinary field: it draws on tools and ideas from psychology, neuroscience, linguistics, economics, computer science, and philosophy, with affiliated faculty …
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INSPIRA- JOURNAL OF COMMERCE, ECONOMICS
iii 28 Impact of Demonetization on Black Money Dr. Sonia Tiwari 142-144 29 An Impact of Product Packaging Towards Customers Buying Behaviour
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Cognitive Science - Barnard College
Cognitive science is the cross-disciplinary study of how the mind works, with a focus on perception, reasoning, memory, attention, language, decision-making, motor control, and …
Economics, Computer Science, and Policy - JSTOR
Economics, Computer Science, and Policy Cross-fertilization of ideas and techniques between economics and computer science is yielding fresh insights that can help inform policy …
BSc degree program in Computer Engineering - BME
Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics BSc degree program in Computer Engineering 7 semesters, 210 credits ... science …
M.S. Behavioral and Computational Economics - chapman.edu
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illustrative - Duke University
Example 3: good Computer Science and Economics background Fall 2019 Spring 2020 (plus Summer 2020 if relevant) Fall 2020 Spring 2021 Sample Core Courses Econ 601 MA …
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PROSPECTUS 2024-25
Quantitative Economics, Computer Science and other subjects related to Statistics as may be determined by the Institute from time to time. The headquarters of the Institute is located in …
Artificial Intelligence Empowered Reforms in Economics …
close integration of economics with fields such as computer science, big data, and machine learning. This trend towards interdisciplinary collaboration prompts economics education to …
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Journal of Commerce, Economics & Computer …
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Journal of Commerce, Economics & Computer …
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JAMHURI YA MUUNGANO WA TANZANIA OFISI YA RAIS …
7 History, Geography and Economics (HGE) 8 History, Geography and Fasihi ya Kiswahili (HGFa) 9 History, Geography and Literature in English (HGLi) ... 32 Physics, Mathematics and …
Economics and computer science of a radio spectrum …
procedures are embedded in computer code. That fact has encouraged closer study of how market rules affect outcomes and boosted the nascent field of market design. The introduction …
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