Thick Big Data

Thick Big Data
Author: Dariusz Jemielniak
Publisher: Oxford University Press, USA
Total Pages: 208
Release: 2020-02-20
Genre: Business & Economics
ISBN: 0198839707

Download Thick Big Data Book in PDF, Epub and Kindle

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Big Data

Big Data
Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
Total Pages: 257
Release: 2013
Genre: Business & Economics
ISBN: 0544002695

Download Big Data Book in PDF, Epub and Kindle

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Thick Big Data

Thick Big Data
Author: Dariusz Jemielniak
Publisher: Oxford University Press, USA
Total Pages: 208
Release: 2020-02
Genre: Business & Economics
ISBN: 9780198839712

Download Thick Big Data Book in PDF, Epub and Kindle

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Thick Big Data

Thick Big Data
Author: Dariusz Jemielniak
Publisher: Oxford University Press
Total Pages: 208
Release: 2020-03-25
Genre: Business & Economics
ISBN: 0192576054

Download Thick Big Data Book in PDF, Epub and Kindle

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Quantitative Ethnography

Quantitative Ethnography
Author: David Williamson Shaffer
Publisher: Lulu.com
Total Pages: 498
Release: 2017
Genre: Ethnology
ISBN: 0578191687

Download Quantitative Ethnography Book in PDF, Epub and Kindle

How can we make sense of make sense of the deluge of information in the digital age? The new science of Quantitative Ethnography dissolves the boundaries between quantitative and qualitative research to give researchers tools for studying the human side of big data: to understand not just what data says, but what it tells us about the people who created it. Thoughtful, literate, and humane, Quantitative Ethnography integrates data-mining, discourse analysis, psychology, statistics, and ethnography into a brand-new science for understanding what people do and why they do it. Packed with anecdotes, stories, and clear explanations of complex ideas, Quantitative Ethnography is an engaging introduction to research methods for students, an introduction to data science for qualitative researchers, and an introduction to the humanities for statisticians--but also a compelling philosophical and intellectual journey for anyone who wants to understand learning, culture and behavior in the age of big data.

Big Data in the Arts and Humanities

Big Data in the Arts and Humanities
Author: Giovanni Schiuma
Publisher: CRC Press
Total Pages: 361
Release: 2018-04-27
Genre: Business & Economics
ISBN: 1351172581

Download Big Data in the Arts and Humanities Book in PDF, Epub and Kindle

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it. Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences. Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.

Big Data Analytics with R and Hadoop

Big Data Analytics with R and Hadoop
Author: Vignesh Prajapati
Publisher:
Total Pages: 0
Release: 2013
Genre: Apache Hadoop
ISBN: 9781782163282

Download Big Data Analytics with R and Hadoop Book in PDF, Epub and Kindle

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.

Privacy in the Age of Big Data

Privacy in the Age of Big Data
Author: Theresa Payton
Publisher: Rowman & Littlefield
Total Pages: 277
Release: 2014-01-16
Genre: Computers
ISBN: 1442225467

Download Privacy in the Age of Big Data Book in PDF, Epub and Kindle

Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.

The Big Data Agenda

The Big Data Agenda
Author: Annika Richterich
Publisher: University of Westminster Press
Total Pages: 156
Release: 2018-04-13
Genre: Social Science
ISBN: 1911534734

Download The Big Data Agenda Book in PDF, Epub and Kindle

This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

Collaborative Futures in Qualitative Inquiry

Collaborative Futures in Qualitative Inquiry
Author: Norman K. Denzin
Publisher: Routledge
Total Pages: 170
Release: 2021-05-03
Genre: Education
ISBN: 1000389340

Download Collaborative Futures in Qualitative Inquiry Book in PDF, Epub and Kindle

Collaborative Futures in Qualitative Inquiry critically reflects on and explores the role of qualitative research amidst the global COVID-19 pandemic. Against this unprecedented backdrop, it asks what research means during a global pandemic and what it means to be an academic. Leading international scholars from the United States, Canada, Chile, New Zealand, Norway, and the United Kingdom wrestle with the changing dynamics of research in pandemic times. Collectively and collaboratively, contributors call for a critical, performative, social justice inquiry directed at the multiple crises of our historical present—a rethinking of where we have been, and, critically, where we are going. More specifically, contributors focus on such topics as: the emotional geographies of academic writing; assaults on science and truth; pedagogies of the imagination; indigenization and reconciliation; the search for our common humanity; and the relevance of qualitative inquiry in an era of big data and digital transformation. Collaborative Futures in Qualitative Inquiry is a must-read for faculty and students alike who are interested in imagining new ways to collaborate, to engage in research and activism, and represent and intervene into social life in pandemic times.