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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.
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.
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.
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.
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
Author: Ian Hacking Publisher: Cambridge University Press ISBN: 110726815X Category : Science Languages : en Pages : 304
Book Description
This 1983 book is a lively and clearly written introduction to the philosophy of natural science, organized around the central theme of scientific realism. It has two parts. 'Representing' deals with the different philosophical accounts of scientific objectivity and the reality of scientific entities. The views of Kuhn, Feyerabend, Lakatos, Putnam, van Fraassen, and others, are all considered. 'Intervening' presents the first sustained treatment of experimental science for many years and uses it to give a new direction to debates about realism. Hacking illustrates how experimentation often has a life independent of theory. He argues that although the philosophical problems of scientific realism can not be resolved when put in terms of theory alone, a sound philosophy of experiment provides compelling grounds for a realistic attitude. A great many scientific examples are described in both parts of the book, which also includes lucid expositions of recent high energy physics and a remarkable chapter on the microscope in cell biology.
Author: Rudolf Steiner Publisher: Rudolf Steiner Press ISBN: 1855843404 Category : Science Languages : en Pages : 260
Book Description
From pre-science to science; The origin of mathematics; The roots of physics and chemistry, and the urge to experiment; Are there limits to what science can know?; Understanding organisms: Goethe's method; The quest for archetypal phenomena; Light, darkness and colour; The rediscovery of the elements; What is warmth?; The scale of nature; The working of the ethers in the physical; Sub-nature; What are atoms?; Natural science and spiritual science.
Author: E. D. Klemke Publisher: ISBN: Category : Philosophy Languages : en Pages : 598
Book Description
This popular reader has been vastly updated with ten stimulating new selections on the natural and the social sciences: feminism; postmodernism, relativism, and science; confirmation, acceptance, and theory; explanatory unification; and science and values. Retaining the best essays from the previous editions, the editors have added important new pieces to maintain this influential text's relevance.
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.
Author: Ben Akpan Publisher: Springer Nature ISBN: 3030436209 Category : Science Languages : en Pages : 517
Book Description
This book provides a collection of applicable learning theories and their applications to science teaching. It presents a synthesis of historical theories while also providing practical implications for improvement of pedagogical practices aimed at advancing the field into the future. The theoretical viewpoints included in this volume span cognitive and social human development, address theories of learning, and describe approaches to teaching and curriculum development. The book presents and discusses humanistic, behaviourist, cognitivist, and constructivist theories. In addition, it looks at other theories, such as multiple intelligences theory, systems thinking, gender/sexuality theory and indigenous knowledge systems. Each chapter follows a reader-motivated approach anchored on a narrative genre. The book serves as a guide for those aiming to create optional learning experiences to prepare the next generation STEM workforce. Chapter “The Bildung Theory—From von Humboldt to Klafki and Beyond” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
Author: Adam Briggle
Author: Adam Briggle
Author: Luis M. A. Bettencourt
Author: Peter Godfrey-Smith
Author: Angela B. Shiflet
Author: Ian Hacking
Author: Rudolf Steiner
Author: E. D. Klemke
Author: Rafael A. Irizarry
Author: Andreas Schmittner
Author: Ben Akpan