Author: David Kaldewey
Publisher: Berghahn Books
ISBN: 178533901X
Category : Science
Languages : en
Pages : 312
Book Description
The distinction between basic and applied research was central to twentieth-century science and policymaking, and if this framework has been contested in recent years, it nonetheless remains ubiquitous in both scientific and public discourse. Employing a transnational, diachronic perspective informed by historical semantics, this volume traces the conceptual history of the basic–applied distinction from the nineteenth century to today, taking stock of European developments alongside comparative case studies from the United States and China. It shows how an older dichotomy of pure and applied science was reconceived in response to rapid scientific progress and then further transformed by the geopolitical circumstances of the postwar era.
Basic and Applied Research
Author: David Kaldewey
Publisher: Berghahn Books
ISBN: 178533901X
Category : Science
Languages : en
Pages : 312
Book Description
The distinction between basic and applied research was central to twentieth-century science and policymaking, and if this framework has been contested in recent years, it nonetheless remains ubiquitous in both scientific and public discourse. Employing a transnational, diachronic perspective informed by historical semantics, this volume traces the conceptual history of the basic–applied distinction from the nineteenth century to today, taking stock of European developments alongside comparative case studies from the United States and China. It shows how an older dichotomy of pure and applied science was reconceived in response to rapid scientific progress and then further transformed by the geopolitical circumstances of the postwar era.
Publisher: Berghahn Books
ISBN: 178533901X
Category : Science
Languages : en
Pages : 312
Book Description
The distinction between basic and applied research was central to twentieth-century science and policymaking, and if this framework has been contested in recent years, it nonetheless remains ubiquitous in both scientific and public discourse. Employing a transnational, diachronic perspective informed by historical semantics, this volume traces the conceptual history of the basic–applied distinction from the nineteenth century to today, taking stock of European developments alongside comparative case studies from the United States and China. It shows how an older dichotomy of pure and applied science was reconceived in response to rapid scientific progress and then further transformed by the geopolitical circumstances of the postwar era.
Cycles of Invention and Discovery
Author: Venkatesh Narayanamurti
Publisher: Harvard University Press
ISBN: 0674974158
Category : Science
Languages : en
Pages : 177
Book Description
Cycles of Invention and Discovery offers an in-depth look at the real-world practice of science and engineering. It shows how the standard categories of “basic” and “applied” have become a hindrance to the organization of the U.S. science and technology enterprise. Tracing the history of these problematic categories, Venkatesh Narayanamurti and Toluwalogo Odumosu document how historical views of policy makers and scientists have led to the construction of science as a pure ideal on the one hand and of engineering as a practical (and inherently less prestigious) activity on the other. Even today, this erroneous but still widespread distinction forces these two endeavors into separate silos, misdirects billions of dollars, and thwarts progress in science and engineering research. The authors contrast this outmoded perspective with the lived experiences of researchers at major research laboratories. Using such Nobel Prize–winning examples as magnetic resonance imaging, the transistor, and the laser, they explore the daily micro-practices of research, showing how distinctions between the search for knowledge and creative problem solving break down when one pays attention to the ways in which pathbreaking research actually happens. By studying key contemporary research institutions, the authors highlight the importance of integrated research practices, contrasting these with models of research in the classic but still-influential report Science the Endless Frontier. Narayanamurti and Odumosu’s new model of the research ecosystem underscores that discovery and invention are often two sides of the same coin that moves innovation forward.
Publisher: Harvard University Press
ISBN: 0674974158
Category : Science
Languages : en
Pages : 177
Book Description
Cycles of Invention and Discovery offers an in-depth look at the real-world practice of science and engineering. It shows how the standard categories of “basic” and “applied” have become a hindrance to the organization of the U.S. science and technology enterprise. Tracing the history of these problematic categories, Venkatesh Narayanamurti and Toluwalogo Odumosu document how historical views of policy makers and scientists have led to the construction of science as a pure ideal on the one hand and of engineering as a practical (and inherently less prestigious) activity on the other. Even today, this erroneous but still widespread distinction forces these two endeavors into separate silos, misdirects billions of dollars, and thwarts progress in science and engineering research. The authors contrast this outmoded perspective with the lived experiences of researchers at major research laboratories. Using such Nobel Prize–winning examples as magnetic resonance imaging, the transistor, and the laser, they explore the daily micro-practices of research, showing how distinctions between the search for knowledge and creative problem solving break down when one pays attention to the ways in which pathbreaking research actually happens. By studying key contemporary research institutions, the authors highlight the importance of integrated research practices, contrasting these with models of research in the classic but still-influential report Science the Endless Frontier. Narayanamurti and Odumosu’s new model of the research ecosystem underscores that discovery and invention are often two sides of the same coin that moves innovation forward.
Applied Science and Technological Progress
Author: National Academy of Sciences (U.S.). Committee on Science and Public Policy
Publisher: National Academies
ISBN:
Category : Research, Industrial
Languages : en
Pages : 448
Book Description
Publisher: National Academies
ISBN:
Category : Research, Industrial
Languages : en
Pages : 448
Book Description
Applied Meta-Analysis for Social Science Research
Author: Noel A. Card
Publisher: Guilford Publications
ISBN: 1462525008
Category : Psychology
Languages : en
Pages : 401
Book Description
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ
Publisher: Guilford Publications
ISBN: 1462525008
Category : Psychology
Languages : en
Pages : 401
Book Description
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ
Applied Scientific Computing
Author: Peter R. Turner
Publisher: Springer
ISBN: 3319895753
Category : Computers
Languages : en
Pages : 280
Book Description
This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python. Topics and features: provides an accessible and applications-oriented approach, supported by working Python code for many of the methods; encourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications; introduces the main concepts in modeling, python programming, number representation, and errors; explains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method; discusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing. Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.
Publisher: Springer
ISBN: 3319895753
Category : Computers
Languages : en
Pages : 280
Book Description
This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python. Topics and features: provides an accessible and applications-oriented approach, supported by working Python code for many of the methods; encourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications; introduces the main concepts in modeling, python programming, number representation, and errors; explains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method; discusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing. Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.
An Adventure in Applied Science
Author: Robert Flint Chandler
Publisher: Int. Rice Res. Inst.
ISBN: 9711040638
Category : Agricultural innovations
Languages : en
Pages : 250
Book Description
Publisher: Int. Rice Res. Inst.
ISBN: 9711040638
Category : Agricultural innovations
Languages : en
Pages : 250
Book Description
Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2021)
Author: Aleksei Muratov
Publisher: Springer Nature
ISBN: 303091402X
Category : Technology & Engineering
Languages : en
Pages : 701
Book Description
This book contains new ideas on farming processes, describes new analytical methods that are applicable to a broad range of agricultural systems, and presents new technologies and solutions, which help agricultural systems to function in the modern conditions of digitalization and a changing climate. The results of scientific research presented within the framework of the conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2021)”, which took place in Ussuriysk, Russia are covering the following topics: precision livestock farming, farm management platforms, yield monitoring and estimation, IoTs in farming, water management, smart agriculture machines. These new ideas outlined in the book are future-oriented and are expected to stimulate community debate on determining future directions for advancing agricultural research worldwide. The book is focused on the study of interactions between the components of agricultural systems, between their hierarchical levels, between different types of land use systems, and between agricultural systems and the economic environment. The methods and tools for agricultural systems design, estimation and monitoring are proposed in this book. Studies presented here allow improving the environmental and economic performance of agricultural systems. This book is of particular importance for professionals, scholars, and researchers in the field of agriculture and livestock farming, as well as for the heads and top managers of agricultural enterprises, since materials described in the book will help them in making right decisions.
Publisher: Springer Nature
ISBN: 303091402X
Category : Technology & Engineering
Languages : en
Pages : 701
Book Description
This book contains new ideas on farming processes, describes new analytical methods that are applicable to a broad range of agricultural systems, and presents new technologies and solutions, which help agricultural systems to function in the modern conditions of digitalization and a changing climate. The results of scientific research presented within the framework of the conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE-2021)”, which took place in Ussuriysk, Russia are covering the following topics: precision livestock farming, farm management platforms, yield monitoring and estimation, IoTs in farming, water management, smart agriculture machines. These new ideas outlined in the book are future-oriented and are expected to stimulate community debate on determining future directions for advancing agricultural research worldwide. The book is focused on the study of interactions between the components of agricultural systems, between their hierarchical levels, between different types of land use systems, and between agricultural systems and the economic environment. The methods and tools for agricultural systems design, estimation and monitoring are proposed in this book. Studies presented here allow improving the environmental and economic performance of agricultural systems. This book is of particular importance for professionals, scholars, and researchers in the field of agriculture and livestock farming, as well as for the heads and top managers of agricultural enterprises, since materials described in the book will help them in making right decisions.
Research Methods in Applied Settings
Author: Jeffrey A. Gliner
Publisher: Psychology Press
ISBN: 1135677344
Category : Education
Languages : en
Pages : 474
Book Description
The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.
Publisher: Psychology Press
ISBN: 1135677344
Category : Education
Languages : en
Pages : 474
Book Description
The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.
Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Author: Chkoniya, Valentina
Publisher: IGI Global
ISBN: 1799869865
Category : Computers
Languages : en
Pages : 653
Book Description
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.
Publisher: IGI Global
ISBN: 1799869865
Category : Computers
Languages : en
Pages : 653
Book Description
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.
Confirmatory Factor Analysis for Applied Research, Second Edition
Author: Timothy A. Brown
Publisher: Guilford Publications
ISBN: 146251779X
Category : Science
Languages : en
Pages : 482
Book Description
This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...
Publisher: Guilford Publications
ISBN: 146251779X
Category : Science
Languages : en
Pages : 482
Book Description
This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...