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Reinventing The Social Scientist And Humanist In The Era Of Big Data

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Reinventing The Social Scientist And Humanist In The Era Of Big Data

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Author : Susan Brokensha
language : en
Publisher: UJ Press
Release Date : 2019-12-01

Reinventing The Social Scientist And Humanist In The Era Of Big Data written by Susan Brokensha and has been published by UJ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-01 with Social Science categories.

This book explores the big data evolution by interrogating the notion that big data is a disruptive innovation that appears to be challenging existing epistemologies in the humanities and social sciences. Exploring various (controversial) facets of big data such as ethics, data power, and data justice, the book attempts to clarify the trajectory of the epistemology of (big) data-driven science in the humanities and social sciences.

Reinventing The Social Scientist And Humanist In The Era Of Big Data A Perspective From South African Scholars

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Author : Susan Brokensha
language : en
Publisher: UJ Press
Release Date : 2019-12-01

Reinventing The Social Scientist And Humanist In The Era Of Big Data A Perspective From South African Scholars written by Susan Brokensha and has been published by UJ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-01 with Computers categories.

Big Data In Computational Social Science And Humanities

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Author : Shu-Heng Chen
language : en
Publisher: Springer
Release Date : 2018-11-21

Big Data In Computational Social Science And Humanities written by Shu-Heng Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-21 with Computers categories.

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications. The second part of the book provides a panoramic view of the development of big data in the fields of computational social sciences and humanities. The following questions are addressed: why is there a need for novel data governance for this new type of data?, why is big data important for social scientists?, and how will it revolutionize the way social scientists conduct research? With the advent of the information age and technologies such as Web 2.0, ubiquitous computing, wearable devices, and the Internet of Things, digital society has fundamentally changed what we now know as "data", the very use of this data, and what we now call "knowledge". Big data has become the standard in social sciences, and has made these sciences more computational. Big Data in Computational Social Science and Humanities will appeal to graduate students and researchers working in the many subfields of the social sciences and humanities.

Big Data Research For Social Sciences And Social Impact

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Author : Miltiadis D. Lytras
language : en
Publisher: MDPI
Release Date : 2020-03-19

Big Data Research For Social Sciences And Social Impact written by Miltiadis D. Lytras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-19 with Technology & Engineering categories.

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Big Data And Social Science

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Author : Ian Foster
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2020-11-18

Big Data And Social Science written by Ian Foster and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 with Big data categories.

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.

Big Data Research For Social Sciences And Social Impact

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Author : Kwok Tai Chui
language : en
Publisher:
Release Date : 2020

Big Data Research For Social Sciences And Social Impact written by Kwok Tai Chui and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Engineering (General). Civil engineering (General) categories.

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers--A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization's Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context-Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

The Digital Humanist

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Author : Domenico Fiormonte
language : en
Publisher: punctum books
Release Date : 2015

The Digital Humanist written by Domenico Fiormonte and has been published by punctum books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with COMPUTERS categories.

This book offers a critical introduction to the core technologies underlying the Internet from a humanistic perspective. It provides a cultural critique of computing technologies, by exploring the history of computing and examining issues related to writing, representing, archiving and searching. The book raises awareness of, and calls for, the digital humanities to address the challenges posed by the linguistic and cultural divides in computing, the clash between communication and control, and the biases inherent in networked technologies. A common problem with publications in the Digital Humanities is the dominance of the Anglo-American perspective. While seeking to take a broader view, the book attempts to show how cultural bias can become an obstacle to innovation both in the methodology and practice of the Digital Humanities. Its central point is that no technological instrument is culturally unbiased, and that all too often the geography that underlies technology coincides with the social and economic interests of its producers. The alternative proposed in the book is one of a world in which variation, contamination and decentralization are essential instruments for the production and transmission of digital knowledge. It is thus necessary not only to have spaces where DH scholars can interact (such as international conferences, THATCamps, forums and mailing lists), but also a genuine sharing of technological know-how and experience. "This is a truly exceptional work on the subject of the digital....Students and scholars new to the field of digital humanities will find in this book a gentle introduction to the field, which I cannot but think would be good and perhaps even inspirational for them....Its history of the development of machines and programs and communities bent on using computers to advance science and research merely sets the stage for an insightful analysis of the role of the digital in the way both scholars and everyday people communicate and conceive of themselves and "others" in written forms - from treatises to credit card transactions." Peter Shillingsburg The Digital Humanist is not simply a translation of the Italian book L'umanista digitale (il Mulino 2010), but a new version tailored to an international audience through the improvement and expansion of the sections on social, cultural and ethical problems of the most widely used methodologies, resources and applications. TABLE OF CONTENTS // Preface: Digital Humanities at a Political Turn? by Geoffrey Rockwell / PART I: The Socio-Historical Roots - Chap. 1: Technology and the Humanities: A History of Interaction - Chap. 2: Internet, or The Humanistic Machine / PART II: Theoretical and Practical Dimensions - Chap. 3: Writing and Content Production - Chap. 4: Representing and Archiving - Chap. 5: Searching and Organizing / Conclusions: DH in a Global Perspective

Reimagining Our Futures Together

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Author : International Commission on the Futures of Education
language : en
Publisher: UNESCO Publishing
Release Date : 2021-11-06

Reimagining Our Futures Together written by International Commission on the Futures of Education and has been published by UNESCO Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-06 with Political Science categories.

The interwoven futures of humanity and our planet are under threat. Urgent action, taken together, is needed to change course and reimagine our futures.

Dynamic Factor Models

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Author :
language : en
Publisher: Emerald Group Publishing
Release Date : 2016-01-08

Dynamic Factor Models written by and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-08 with Business & Economics categories.

This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.

Data Protection Law In Singapore

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Author : Simon Chesterman
language : en
Publisher: Academy Publishing
Release Date : 2014-01-15

Data Protection Law In Singapore written by Simon Chesterman and has been published by Academy Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with Data protection categories.

The adoption of the Personal Data Protection Act has transformed the legal regime for data protection in Singapore. This book explains the history and evolution of data protection in Singapore, highlights issues that will need to be worked out in practice as the new law is implemented and derives lessons that may be taken from other countries in the region and beyond. Bringing together leading scholars and practitioners in the field, the book will be of interest to the academic, legal and business communities. Key questions considered in the book include how to reconcile notions of privacy in an information age, and how national laws can regulate an increasingly interconnected world.

Reinventing The Social Scientist And Humanist In The Era Of Big Data

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