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Download or read book Large Scale Data Resources for the Social Sciences written by and published by . This book was released on 1986 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 1498751431
Total Pages : 493 pages
Book Rating : 4.4/5 (987 download)
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.
Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 100020863X
Total Pages : 320 pages
Book Rating : 4.0/5 (2 download)
Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2020-11-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as the field of data science provide a unique perspective on how to apply modern social science research principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science methods and tools to the data, and recognize and respond to data errors, biases, and limitations. Features: Takes an accessible, hands-on approach to handling new types of data in the social sciences Presents the key data science tools in a non-intimidating way to both social and data scientists while keeping the focus on research questions and purposes Illustrates social science and data science principles through real-world problems Links computer science concepts to practical social science research Promotes good scientific practice Provides freely available workbooks with data, code, and practical programming exercises, through Binder and GitHub New to the Second Edition: Increased use of examples from different areas of social sciences New chapter on dealing with Bias and Fairness in Machine Learning models Expanded chapters focusing on Machine Learning and Text Analysis Revamped hands-on Jupyter notebooks to reinforce concepts covered in each chapter This classroom-tested book fills a major gap in graduate- and professional-level data science and social science education. It can be used to train a new generation of social data scientists to tackle real-world problems and improve the skills and competencies of applied social scientists and public policy practitioners. It empowers you to use the massive and rapidly growing amounts of available data to interpret economic and social activities in a scientific and rigorous manner.
Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309037492
Total Pages : 301 pages
Book Rating : 4.3/5 (9 download)
Download or read book The Behavioral and Social Sciences written by National Research Council and published by National Academies Press. This book was released on 1988-02-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
Author : Craig A. Hill
Publisher : John Wiley & Sons
ISBN 13 : 1118976320
Total Pages : 784 pages
Book Rating : 4.1/5 (189 download)
Download or read book Big Data Meets Survey Science written by Craig A. Hill and published by John Wiley & Sons. This book was released on 2020-09-29 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.
Author : Elena Llaudet
Publisher : Princeton University Press
ISBN 13 : 0691199434
Total Pages : 256 pages
Book Rating : 4.6/5 (911 download)
Download or read book Data Analysis for Social Science written by Elena Llaudet and published by Princeton University Press. This book was released on 2022-11-29 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
Author : R. Duncan Luce
Publisher : Russell Sage Foundation
ISBN 13 : 1610443705
Total Pages : 714 pages
Book Rating : 4.6/5 (14 download)
Download or read book Leading Edges in Social and Behavioral Science written by R. Duncan Luce and published by Russell Sage Foundation. This book was released on 1990-02-01 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reach of the social and behavioral sciences is currently so broad and interdisciplinary that staying abreast of developments has become a daunting task. The thirty papers that constitute Leading Edges in Social and Behavioral Science provide a unique composite picture of recent findings and promising new research opportunities within most areas of social and behavioral research. Prepared by expert scholars under the auspices of the National Academy of Sciences, these timely and well-documented reports define research priorities for an impressive range of topics: Part I: Mind and Brain Part II: Behavior in Social Context Part III: Choice and Allocation Part IV: Evolving Institutions Part V: Societies and International Orders Part VI: Data and Analysis
Author : Anol Bhattacherjee
Publisher : CreateSpace
ISBN 13 : 9781475146127
Total Pages : 156 pages
Book Rating : 4.1/5 (461 download)
Download or read book Social Science Research written by Anol Bhattacherjee and published by CreateSpace. This book was released on 2012-04-01 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author : Jo Guldi
Publisher : Cambridge University Press
ISBN 13 : 1316165256
Total Pages : 177 pages
Book Rating : 4.3/5 (161 download)
Download or read book The History Manifesto written by Jo Guldi and published by Cambridge University Press. This book was released on 2014-10-02 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should historians speak truth to power – and why does it matter? Why is five hundred years better than five months or five years as a planning horizon? And why is history – especially long-term history – so essential to understanding the multiple pasts which gave rise to our conflicted present? The History Manifesto is a call to arms to historians and everyone interested in the role of history in contemporary society. Leading historians Jo Guldi and David Armitage identify a recent shift back to longer-term narratives, following many decades of increasing specialisation, which they argue is vital for the future of historical scholarship and how it is communicated. This provocative and thoughtful book makes an important intervention in the debate about the role of history and the humanities in a digital age. It will provoke discussion among policymakers, activists and entrepreneurs as well as ordinary listeners, viewers, readers, students and teachers. This title is also available as Open Access.
Author : Kosuke Imai
Publisher : Princeton University Press
ISBN 13 : 0691191093
Total Pages : 464 pages
Book Rating : 4.6/5 (911 download)
Download or read book Quantitative Social Science written by Kosuke Imai and published by Princeton University Press. This book was released on 2021-03-16 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
Author : Paul B. Slater
Publisher :
ISBN 13 :
Total Pages : 153 pages
Book Rating : 4.:/5 (964 download)
Download or read book Large Scale Data Analytic Studies in the Social Science written by Paul B. Slater and published by . This book was released on 1986 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mark Solovey
Publisher : MIT Press
ISBN 13 : 0262358751
Total Pages : 409 pages
Book Rating : 4.2/5 (623 download)
Download or read book Social Science for What? written by Mark Solovey and published by MIT Press. This book was released on 2020-07-07 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.
Author : Otto N. Larsen
Publisher : Routledge
ISBN 13 : 1351316389
Total Pages : 183 pages
Book Rating : 4.3/5 (513 download)
Download or read book Milestones and Millstones written by Otto N. Larsen and published by Routledge. This book was released on 2019-01-22 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the 1960s onwards, the clothing industry in the Netherlands and elsewhere in the European Union, experienced a deep crisis. Numerous went bankrupt and, even more so, workers lost their jobs. Imports from low wage countries started providing the bulk of retailers' collections.
Author : Nils B. Weidmann
Publisher : Cambridge University Press
ISBN 13 : 1108845673
Total Pages : 243 pages
Book Rating : 4.1/5 (88 download)
Download or read book Data Management for Social Scientists written by Nils B. Weidmann and published by Cambridge University Press. This book was released on 2023-03-09 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
Author : Aris Gkoulalas-Divanis
Publisher : Springer Science & Business Media
ISBN 13 : 1461492424
Total Pages : 276 pages
Book Rating : 4.4/5 (614 download)
Download or read book Large-Scale Data Analytics written by Aris Gkoulalas-Divanis and published by Springer Science & Business Media. This book was released on 2014-01-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases, data mining, supercomputing, hardware architecture, data visualization, statistics, and privacy. There is increasing need for new approaches and technologies that can analyze and synthesize very large amounts of data, in the order of petabytes, that are generated by massively distributed data sources. This requires new distributed architectures for data analysis. Additionally, the heterogeneity of such sources imposes significant challenges for the efficient analysis of the data under numerous constraints, including consistent data integration, data homogenization and scaling, privacy and security preservation. The authors also broaden reader understanding of emerging real-world applications in domains such as customer behavior modeling, graph mining, telecommunications, cyber-security, and social network analysis, all of which impose extra requirements for large-scale data analysis. Large-Scale Data Analytics is organized in 8 chapters, each providing a survey of an important direction of large-scale data analytics or individual results of the emerging research in the field. The book presents key recent research that will help shape the future of large-scale data analytics, leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data. Students, researchers, professionals and practitioners will find this book an authoritative and comprehensive resource.
Author : Elinor Scarbrough
Publisher : Oxford University Press
ISBN 13 : 0198292384
Total Pages : 333 pages
Book Rating : 4.1/5 (982 download)
Download or read book Research Strategies in the Social Sciences written by Elinor Scarbrough and published by Oxford University Press. This book was released on 1998-07-30 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume, a team of experts sets out various analytic tools available to social scientists from social science methodology. It guides them through the maze of advanced techniques applicable across the range of the social sciences.
Author : William H. Dutton
Publisher : MIT Press
ISBN 13 : 0262288311
Total Pages : 403 pages
Book Rating : 4.2/5 (622 download)
Download or read book World Wide Research written by William H. Dutton and published by MIT Press. This book was released on 2010-05-21 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts examine ways in which the use of increasingly powerful and versatile digital information and communication technologies are transforming research activities across all disciplines. Advances in information and communication technology are transforming the way scholarly research is conducted across all disciplines. The use of increasingly powerful and versatile computer-based and networked systems promises to change research activity as profoundly as the mobile phone, the Internet, and email have changed everyday life. This book offers a comprehensive and accessible view of the use of these new approaches—called “e-Research”—and their ethical, legal, and institutional implications. The contributors, leading scholars from a range of disciplines, focus on how e-Research is reshaping not only how research is done but also, and more important, its outcomes. By anchoring their discussion in specific examples and case studies, they identify and analyze a promising set of practical developments and results associated with e-Research innovations. The contributors, who include Geoffrey Bowker, Christine Borgman, Paul Edwards, Tim Berners-Lee, and Hal Abelson, explain why and how e-Research activity can reconfigure access to networks of information, expertise, and experience, changing what researchers observe, with whom they collaborate, how they share information, what methods they use to report their findings, and what knowledge is required to do this. They discuss both the means of e-Research (new research-centered computational networks) and its purpose (to improve the quality of world-wide research).
