Author: Ziauddin Sardar
Publisher: Icon Books Company
ISBN: 9781840463583
Category : Science
Languages : en
Pages : 0
Book Description
How do we reconcile the advantages of science with its perils? What do scientists actually do? Is science 'value-free'? How has science evolved through history? Where is science leading us? We now begin to see that uncertainty and ignorance tend to increase with changes in the production of knowledge. We have arrived at the threshold of post-normal science. Introducing Science is a clear and incisively illustrated anatomy of science. It is essential reading for students, ordinary citizens and scientists themselves.
Introducing Science
Author: Ziauddin Sardar
Publisher: Icon Books Company
ISBN: 9781840463583
Category : Science
Languages : en
Pages : 0
Book Description
How do we reconcile the advantages of science with its perils? What do scientists actually do? Is science 'value-free'? How has science evolved through history? Where is science leading us? We now begin to see that uncertainty and ignorance tend to increase with changes in the production of knowledge. We have arrived at the threshold of post-normal science. Introducing Science is a clear and incisively illustrated anatomy of science. It is essential reading for students, ordinary citizens and scientists themselves.
Publisher: Icon Books Company
ISBN: 9781840463583
Category : Science
Languages : en
Pages : 0
Book Description
How do we reconcile the advantages of science with its perils? What do scientists actually do? Is science 'value-free'? How has science evolved through history? Where is science leading us? We now begin to see that uncertainty and ignorance tend to increase with changes in the production of knowledge. We have arrived at the threshold of post-normal science. Introducing Science is a clear and incisively illustrated anatomy of science. It is essential reading for students, ordinary citizens and scientists themselves.
Science Literacy
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309447569
Category : Education
Languages : en
Pages : 167
Book Description
Science is a way of knowing about the world. At once a process, a product, and an institution, science enables people to both engage in the construction of new knowledge as well as use information to achieve desired ends. Access to scienceâ€"whether using knowledge or creating itâ€"necessitates some level of familiarity with the enterprise and practice of science: we refer to this as science literacy. Science literacy is desirable not only for individuals, but also for the health and well- being of communities and society. More than just basic knowledge of science facts, contemporary definitions of science literacy have expanded to include understandings of scientific processes and practices, familiarity with how science and scientists work, a capacity to weigh and evaluate the products of science, and an ability to engage in civic decisions about the value of science. Although science literacy has traditionally been seen as the responsibility of individuals, individuals are nested within communities that are nested within societiesâ€"and, as a result, individual science literacy is limited or enhanced by the circumstances of that nesting. Science Literacy studies the role of science literacy in public support of science. This report synthesizes the available research literature on science literacy, makes recommendations on the need to improve the understanding of science and scientific research in the United States, and considers the relationship between scientific literacy and support for and use of science and research.
Publisher: National Academies Press
ISBN: 0309447569
Category : Education
Languages : en
Pages : 167
Book Description
Science is a way of knowing about the world. At once a process, a product, and an institution, science enables people to both engage in the construction of new knowledge as well as use information to achieve desired ends. Access to scienceâ€"whether using knowledge or creating itâ€"necessitates some level of familiarity with the enterprise and practice of science: we refer to this as science literacy. Science literacy is desirable not only for individuals, but also for the health and well- being of communities and society. More than just basic knowledge of science facts, contemporary definitions of science literacy have expanded to include understandings of scientific processes and practices, familiarity with how science and scientists work, a capacity to weigh and evaluate the products of science, and an ability to engage in civic decisions about the value of science. Although science literacy has traditionally been seen as the responsibility of individuals, individuals are nested within communities that are nested within societiesâ€"and, as a result, individual science literacy is limited or enhanced by the circumstances of that nesting. Science Literacy studies the role of science literacy in public support of science. This report synthesizes the available research literature on science literacy, makes recommendations on the need to improve the understanding of science and scientific research in the United States, and considers the relationship between scientific literacy and support for and use of science and research.
Starting with Science
Author: Marcia Talhelm Edson
Publisher: Stenhouse Pub
ISBN: 9781571108074
Category : Education
Languages : en
Pages : 149
Book Description
Young children arrive at school with unrestrained curiosity and wonder about the world. A fact-based, hands-on activity approach to teaching science, however, is not enough to help them deepen their scientific thinking or discoveries. In Starting with Science: Strategies for Introducing Young Children to Inquiry, Marcia Talhelm Edson explores the big ideas surrounding inquiry-based science; she helps teachers thoughtfully plan for and implement a conceptual approach to teaching and learning science so students can engage in observation, questioning, predictions, collaboration, data collection, and a deeper understanding of topics important to their lives. Through numerous examples from classroom discussions, teacher commentary, and children's work samples, Starting with Science provides practical suggestions and models for beginning teachers as well as those who are fine-tuning their practice. Four key questions underlie the book: What is inquiry-based science? How can pre-K, kindergarten, and primary-grade teachers incorporate inquiry-based science when faced with limited science background, insufficient time, and lack of resources? What roles do the children, the teacher, and the environment play in an inquiry-based science program? What instructional strategies are effective in implementing inquiry-based science? In answering these questions, Edson provides a framework from which teachers can devise their own in-depth inquiry investigations based on district requirements and students' own interests. She also integrates literacy opportunities as well as explicit suggestions for effective assessment of inquiry-based science. Starting with Science shows us what inquiry looks like in an early childhood classroom and introduces strategies teachers can employ to confidently and competently teach science to students in grades pre-K-2. Children will gain skills for problem solving and an attitude about learning that they will carry with them not just to the next grade but throughout their lives.
Publisher: Stenhouse Pub
ISBN: 9781571108074
Category : Education
Languages : en
Pages : 149
Book Description
Young children arrive at school with unrestrained curiosity and wonder about the world. A fact-based, hands-on activity approach to teaching science, however, is not enough to help them deepen their scientific thinking or discoveries. In Starting with Science: Strategies for Introducing Young Children to Inquiry, Marcia Talhelm Edson explores the big ideas surrounding inquiry-based science; she helps teachers thoughtfully plan for and implement a conceptual approach to teaching and learning science so students can engage in observation, questioning, predictions, collaboration, data collection, and a deeper understanding of topics important to their lives. Through numerous examples from classroom discussions, teacher commentary, and children's work samples, Starting with Science provides practical suggestions and models for beginning teachers as well as those who are fine-tuning their practice. Four key questions underlie the book: What is inquiry-based science? How can pre-K, kindergarten, and primary-grade teachers incorporate inquiry-based science when faced with limited science background, insufficient time, and lack of resources? What roles do the children, the teacher, and the environment play in an inquiry-based science program? What instructional strategies are effective in implementing inquiry-based science? In answering these questions, Edson provides a framework from which teachers can devise their own in-depth inquiry investigations based on district requirements and students' own interests. She also integrates literacy opportunities as well as explicit suggestions for effective assessment of inquiry-based science. Starting with Science shows us what inquiry looks like in an early childhood classroom and introduces strategies teachers can employ to confidently and competently teach science to students in grades pre-K-2. Children will gain skills for problem solving and an attitude about learning that they will carry with them not just to the next grade but throughout their lives.
Ethics and Science
Author: Adam Briggle
Publisher: Cambridge University Press
ISBN: 0521878411
Category : Business & Economics
Languages : en
Pages : 389
Book Description
This book explores ethical issues at the interfaces of science, policy, religion and technology, cultivating the skills for critical analysis.
Publisher: Cambridge University Press
ISBN: 0521878411
Category : Business & Economics
Languages : en
Pages : 389
Book Description
This book explores ethical issues at the interfaces of science, policy, religion and technology, cultivating the skills for critical analysis.
Introducing Science through Images
Author: Maria E. Gigante
Publisher: Univ of South Carolina Press
ISBN: 1611178754
Category : Language Arts & Disciplines
Languages : en
Pages : 171
Book Description
An examination of how images can serve as communication tools to popularize science in the public eye As funding for basic scientific research becomes increasingly difficult to secure, public support becomes essential. Because of its promise for captivating nonexpert publics, the practice of merging art and imagery with science has been gaining traction in the scientific community. While images have been used with greater frequency in recent years, their value is often viewed as largely superficial. To the contrary, Maria E. Gigante posits in Introducing Science through Images, the value of imagery goes far beyond mere aesthetics—visual elements are powerful communication vehicles. The images examined in this volume, drawn from a wide range of historical periods, serve an introductory function—that is, they appear in a position of primacy relative to text and, like the introduction to a speech, have the potential to make audiences attentive and receptive to the forthcoming content. Gigante calls them "portal" images and explicates their utility in science communication, both to popularize and mystify science in the public eye. Gigante analyzes how science has been represented by various types of portal images: frontispieces, portraits of scientists, popular science magazine covers, and award-winning scientific images from Internet visualization competitions. Using theories of rhetoric and visual communication, she addresses the weak connection between scientific communities and the public and explores how visual elements can best be employed to garner public support for research.
Publisher: Univ of South Carolina Press
ISBN: 1611178754
Category : Language Arts & Disciplines
Languages : en
Pages : 171
Book Description
An examination of how images can serve as communication tools to popularize science in the public eye As funding for basic scientific research becomes increasingly difficult to secure, public support becomes essential. Because of its promise for captivating nonexpert publics, the practice of merging art and imagery with science has been gaining traction in the scientific community. While images have been used with greater frequency in recent years, their value is often viewed as largely superficial. To the contrary, Maria E. Gigante posits in Introducing Science through Images, the value of imagery goes far beyond mere aesthetics—visual elements are powerful communication vehicles. The images examined in this volume, drawn from a wide range of historical periods, serve an introductory function—that is, they appear in a position of primacy relative to text and, like the introduction to a speech, have the potential to make audiences attentive and receptive to the forthcoming content. Gigante calls them "portal" images and explicates their utility in science communication, both to popularize and mystify science in the public eye. Gigante analyzes how science has been represented by various types of portal images: frontispieces, portraits of scientists, popular science magazine covers, and award-winning scientific images from Internet visualization competitions. Using theories of rhetoric and visual communication, she addresses the weak connection between scientific communities and the public and explores how visual elements can best be employed to garner public support for research.
Introducing Data Science
Author: Davy Cielen
Publisher: Simon and Schuster
ISBN: 1638352496
Category : Computers
Languages : en
Pages : 475
Book Description
Summary Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. About the Book Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science. What’s Inside Handling large data Introduction to machine learning Using Python to work with data Writing data science algorithms About the Reader This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. About the Authors Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors. Table of Contents Data science in a big data world The data science process Machine learning Handling large data on a single computer First steps in big data Join the NoSQL movement The rise of graph databases Text mining and text analytics Data visualization to the end user
Publisher: Simon and Schuster
ISBN: 1638352496
Category : Computers
Languages : en
Pages : 475
Book Description
Summary Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Many companies need developers with data science skills to work on projects ranging from social media marketing to machine learning. Discovering what you need to learn to begin a career as a data scientist can seem bewildering. This book is designed to help you get started. About the Book Introducing Data ScienceIntroducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels. After reading this book, you’ll have the solid foundation you need to start a career in data science. What’s Inside Handling large data Introduction to machine learning Using Python to work with data Writing data science algorithms About the Reader This book assumes you're comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. About the Authors Davy Cielen, Arno D. B. Meysman, and Mohamed Ali are the founders and managing partners of Optimately and Maiton, where they focus on developing data science projects and solutions in various sectors. Table of Contents Data science in a big data world The data science process Machine learning Handling large data on a single computer First steps in big data Join the NoSQL movement The rise of graph databases Text mining and text analytics Data visualization to the end user
Science for the Curious Photographer
Author: Charles Johnson, Jr.
Publisher: Routledge
ISBN: 135181186X
Category : Photography
Languages : en
Pages : 305
Book Description
While there are many books that teach the "how-to" of photography, Science for the Curious Photographer is a book for those who also want to understand how photography works. Beginning with an introduction to the history and science of photography, Charles S. Johnson, Jr. addresses questions about the principles of photography, such as why a camera needs a lens, how lenses work, and why modern lenses are so complicated. Addressing the complex aspects of digital photography, the book discusses color management, resolution, "noise" in images, and the limits of human perception. The creation and appreciation of art in photography is discussed from the standpoint of modern cognitive science. A crucial read for those seeking the scientific context to photographic practice, this second edition has been comprehensively updated, including discussion of DSLRs, mirror-less cameras, and a new chapter on the limits of human vision and perception.
Publisher: Routledge
ISBN: 135181186X
Category : Photography
Languages : en
Pages : 305
Book Description
While there are many books that teach the "how-to" of photography, Science for the Curious Photographer is a book for those who also want to understand how photography works. Beginning with an introduction to the history and science of photography, Charles S. Johnson, Jr. addresses questions about the principles of photography, such as why a camera needs a lens, how lenses work, and why modern lenses are so complicated. Addressing the complex aspects of digital photography, the book discusses color management, resolution, "noise" in images, and the limits of human perception. The creation and appreciation of art in photography is discussed from the standpoint of modern cognitive science. A crucial read for those seeking the scientific context to photographic practice, this second edition has been comprehensively updated, including discussion of DSLRs, mirror-less cameras, and a new chapter on the limits of human vision and perception.
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.
Introducing Food Science, Second Edition
Author: Robert L. Shewfelt
Publisher: CRC Press
ISBN: 9781482209747
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
The second edition of a bestseller, this textbook introduces the basics of food science, then building on this foundation, explores it sub-disciplines. This format has been retained to provide students with a well-rounded understanding of the field. The new edition contains revised or additional information on sustainability, molecular gastronomy, culinology, My Plate replacing My Pyramid, clean labels, the assault on processed foods and food scientists by several authors, the new food-safety regulations. It also provides additional pedagogical features, including end-of-chapter questions and a glossary while retaining the popular Looking Back, Remember This!, and Looking Ahead sections.
Publisher: CRC Press
ISBN: 9781482209747
Category : Technology & Engineering
Languages : en
Pages : 0
Book Description
The second edition of a bestseller, this textbook introduces the basics of food science, then building on this foundation, explores it sub-disciplines. This format has been retained to provide students with a well-rounded understanding of the field. The new edition contains revised or additional information on sustainability, molecular gastronomy, culinology, My Plate replacing My Pyramid, clean labels, the assault on processed foods and food scientists by several authors, the new food-safety regulations. It also provides additional pedagogical features, including end-of-chapter questions and a glossary while retaining the popular Looking Back, Remember This!, and Looking Ahead sections.
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.