Author: Sönke Bartling
Publisher: Springer
ISBN: 3319000268
Category : Science
Languages : en
Pages : 325
Book Description
Modern information and communication technologies, together with a cultural upheaval within the research community, have profoundly changed research in nearly every aspect. Ranging from sharing and discussing ideas in social networks for scientists to new collaborative environments and novel publication formats, knowledge creation and dissemination as we know it is experiencing a vigorous shift towards increased transparency, collaboration and accessibility. Many assume that research workflows will change more in the next 20 years than they have in the last 200. This book provides researchers, decision makers, and other scientific stakeholders with a snapshot of the basics, the tools, and the underlying visions that drive the current scientific (r)evolution, often called ‘Open Science.’
Opening Science
Author: Sönke Bartling
Publisher: Springer
ISBN: 3319000268
Category : Science
Languages : en
Pages : 325
Book Description
Modern information and communication technologies, together with a cultural upheaval within the research community, have profoundly changed research in nearly every aspect. Ranging from sharing and discussing ideas in social networks for scientists to new collaborative environments and novel publication formats, knowledge creation and dissemination as we know it is experiencing a vigorous shift towards increased transparency, collaboration and accessibility. Many assume that research workflows will change more in the next 20 years than they have in the last 200. This book provides researchers, decision makers, and other scientific stakeholders with a snapshot of the basics, the tools, and the underlying visions that drive the current scientific (r)evolution, often called ‘Open Science.’
Publisher: Springer
ISBN: 3319000268
Category : Science
Languages : en
Pages : 325
Book Description
Modern information and communication technologies, together with a cultural upheaval within the research community, have profoundly changed research in nearly every aspect. Ranging from sharing and discussing ideas in social networks for scientists to new collaborative environments and novel publication formats, knowledge creation and dissemination as we know it is experiencing a vigorous shift towards increased transparency, collaboration and accessibility. Many assume that research workflows will change more in the next 20 years than they have in the last 200. This book provides researchers, decision makers, and other scientific stakeholders with a snapshot of the basics, the tools, and the underlying visions that drive the current scientific (r)evolution, often called ‘Open Science.’
Science and Technology in World History
Author: James Edward McClellan
Publisher: JHU Press
ISBN: 9780801883590
Category : History
Languages : en
Pages : 504
Book Description
Publisher description
Publisher: JHU Press
ISBN: 9780801883590
Category : History
Languages : en
Pages : 504
Book Description
Publisher description
Introduction to Computational Science
Author: Angela B. Shiflet
Publisher: Princeton University Press
ISBN: 140085055X
Category : Computers
Languages : en
Pages : 857
Book Description
The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors
Publisher: Princeton University Press
ISBN: 140085055X
Category : Computers
Languages : en
Pages : 857
Book Description
The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors
Introductory Book of the Sciences
Theory and Reality
Author: Peter Godfrey-Smith
Publisher: University of Chicago Press
ISBN: 022677113X
Category : Philosophy
Languages : en
Pages : 412
Book Description
How does science work? Does it tell us what the world is “really” like? What makes it different from other ways of understanding the universe? In Theory and Reality, Peter Godfrey-Smith addresses these questions by taking the reader on a grand tour of more than a hundred years of debate about science. The result is a completely accessible introduction to the main themes of the philosophy of science. Examples and asides engage the beginning student, a glossary of terms explains key concepts, and suggestions for further reading are included at the end of each chapter. Like no other text in this field, Theory and Reality combines a survey of recent history of the philosophy of science with current key debates that any beginning scholar or critical reader can follow. The second edition is thoroughly updated and expanded by the author with a new chapter on truth, simplicity, and models in science.
Publisher: University of Chicago Press
ISBN: 022677113X
Category : Philosophy
Languages : en
Pages : 412
Book Description
How does science work? Does it tell us what the world is “really” like? What makes it different from other ways of understanding the universe? In Theory and Reality, Peter Godfrey-Smith addresses these questions by taking the reader on a grand tour of more than a hundred years of debate about science. The result is a completely accessible introduction to the main themes of the philosophy of science. Examples and asides engage the beginning student, a glossary of terms explains key concepts, and suggestions for further reading are included at the end of each chapter. Like no other text in this field, Theory and Reality combines a survey of recent history of the philosophy of science with current key debates that any beginning scholar or critical reader can follow. The second edition is thoroughly updated and expanded by the author with a new chapter on truth, simplicity, and models in science.
Introduction to Data Science
Author: Rafael A. Irizarry
Publisher: CRC Press
ISBN: 1000708039
Category : Mathematics
Languages : en
Pages : 836
Book Description
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Publisher: CRC Press
ISBN: 1000708039
Category : Mathematics
Languages : en
Pages : 836
Book Description
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Surface Science
Author: K. Oura
Publisher: Springer Science & Business Media
ISBN: 3662051796
Category : Science
Languages : en
Pages : 443
Book Description
The most important aspects of modern surface science are covered. All topics are presented in a concise and clear form accessible to a beginner. At the same time, the coverage is comprehensive and at a high technical level, with emphasis on the fundamental physical principles. Numerous examples, references, practice exercises, and problems complement this remarkably complete treatment, which will also serve as an excellent reference for researchers and practitioners. The textbook is idea for students in engineering and physical sciences.
Publisher: Springer Science & Business Media
ISBN: 3662051796
Category : Science
Languages : en
Pages : 443
Book Description
The most important aspects of modern surface science are covered. All topics are presented in a concise and clear form accessible to a beginner. At the same time, the coverage is comprehensive and at a high technical level, with emphasis on the fundamental physical principles. Numerous examples, references, practice exercises, and problems complement this remarkably complete treatment, which will also serve as an excellent reference for researchers and practitioners. The textbook is idea for students in engineering and physical sciences.
Philosophy of Science
Author: Samir Okasha
Publisher: Oxford University Press
ISBN: 0198745583
Category : Philosophy
Languages : en
Pages : 161
Book Description
What is science? -- Scientific inference -- Explanation in science -- Realism and anti-realism -- Scientific change and scientific revolutions -- Philosophical problems in physics, biology, and psychology -- Science and its critics.
Publisher: Oxford University Press
ISBN: 0198745583
Category : Philosophy
Languages : en
Pages : 161
Book Description
What is science? -- Scientific inference -- Explanation in science -- Realism and anti-realism -- Scientific change and scientific revolutions -- Philosophical problems in physics, biology, and psychology -- Science and its critics.
Introduction to Urban Science
Author: Luis M. A. Bettencourt
Publisher: MIT Press
ISBN: 0262366436
Category : Political Science
Languages : en
Pages : 497
Book Description
A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns. Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information. Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not "zero-sum games" and that knowledge, human cooperation, and collective action can build a better future.
Publisher: MIT Press
ISBN: 0262366436
Category : Political Science
Languages : en
Pages : 497
Book Description
A novel, integrative approach to cities as complex adaptive systems, applicable to issues ranging from innovation to economic prosperity to settlement patterns. Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information. Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not "zero-sum games" and that knowledge, human cooperation, and collective action can build a better future.
Essential Neuroscience
Author: Allan Siegel
Publisher: LWW
ISBN: 9781496382405
Category : Autonomic nervous system
Languages : en
Pages : 0
Book Description
Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Essential Neuroscience integrates must-have neuroscience information with clinical and physiological considerations to help readers master the fundamentals of neuroscience and prepare for board and course exams. Acclaimed for its concise, clinically relevant coverage, this student-friendly book uses a stepwise approach that starts with the basic building blocks of neural anatomy and expands to cover structures and functions, the interaction of systems, and the science of clinical disorders. A well-balanced mix of anatomy, physiology, biology, and biochemistry helps students increase their conceptual understanding of the subject matter and prepare for practice. Vividly illustrated and rich with clinical case studies, summary tables, a glossary of key terms, and comprehensive USMLE-style review questions, this accessible resource fosters the understanding essential to students' success on their exams and in clinical practice. Updated coverage familiarizes you with the latest clinical practices and approaches. Full-color illustrations clarify anatomic structures and complex processes. CT images and MRIs demonstrate radiologic anatomy and present conditions in a clinically relevant context. Clinical Cases enhance your clinical application capabilities and help you confidently manage commonly encountered conditions. Chapter Outlines and Summary Tables emphasize essential content and maximize your study time. Glossary defines bolded key terms at a glance. USMLE-style Review Questions with detailed explanations challenge your understanding and prepare you to excel on course and board exams.
Publisher: LWW
ISBN: 9781496382405
Category : Autonomic nervous system
Languages : en
Pages : 0
Book Description
Publisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Essential Neuroscience integrates must-have neuroscience information with clinical and physiological considerations to help readers master the fundamentals of neuroscience and prepare for board and course exams. Acclaimed for its concise, clinically relevant coverage, this student-friendly book uses a stepwise approach that starts with the basic building blocks of neural anatomy and expands to cover structures and functions, the interaction of systems, and the science of clinical disorders. A well-balanced mix of anatomy, physiology, biology, and biochemistry helps students increase their conceptual understanding of the subject matter and prepare for practice. Vividly illustrated and rich with clinical case studies, summary tables, a glossary of key terms, and comprehensive USMLE-style review questions, this accessible resource fosters the understanding essential to students' success on their exams and in clinical practice. Updated coverage familiarizes you with the latest clinical practices and approaches. Full-color illustrations clarify anatomic structures and complex processes. CT images and MRIs demonstrate radiologic anatomy and present conditions in a clinically relevant context. Clinical Cases enhance your clinical application capabilities and help you confidently manage commonly encountered conditions. Chapter Outlines and Summary Tables emphasize essential content and maximize your study time. Glossary defines bolded key terms at a glance. USMLE-style Review Questions with detailed explanations challenge your understanding and prepare you to excel on course and board exams.