Big Data In The Arts And Humanities
Download Big Data In The Arts And Humanities full books in PDF, epub, and Kindle. Read online free Big Data In The Arts And Humanities ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Giovanni Schiuma |
Publisher | : CRC Press |
Total Pages | : 214 |
Release | : 2018-04-27 |
Genre | : Business & Economics |
ISBN | : 135117259X |
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.
Author | : Giovanni Schiuma |
Publisher | : CRC Press |
Total Pages | : 361 |
Release | : 2018-04-27 |
Genre | : Business & Economics |
ISBN | : 1351172581 |
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.
Author | : Giovanni Schiuma |
Publisher | : |
Total Pages | : 232 |
Release | : 2018 |
Genre | : Arts |
ISBN | : 9781498765855 |
This books sheds light on the unique and creative contributions that the arts and humanities can make to the development of approaches to use big data effectively. It also explores opportunities and challenges for research in the arts and humanities created by the development in the capability to handle, exploit, and use huge and complex datasets in more and more sophisticated ways. The book gives a clear understanding of the potential of big data in driving a step-change in the way the creative and cultural fields fruitfully engage with data to generate significant benefits and value.
Author | : |
Publisher | : |
Total Pages | : 72 |
Release | : 2015 |
Genre | : |
ISBN | : 9780852619438 |
Author | : Charles Travis |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-11-02 |
Genre | : Science |
ISBN | : 9783319409511 |
The case studies in this book illuminate how arts and humanities tropes can aid in contextualizing Digital Arts and Humanities, Neogeographic and Social Media activity and data through the creation interpretive schemas to study interactions between visualizations, language, human behaviour, time and place.
Author | : Shalin Hai-Jew |
Publisher | : Springer |
Total Pages | : 304 |
Release | : 2017-05-03 |
Genre | : Computers |
ISBN | : 3319544993 |
This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.
Author | : Charles Travis |
Publisher | : Springer |
Total Pages | : 206 |
Release | : 2016-10-25 |
Genre | : Science |
ISBN | : 3319409530 |
The case studies in this book illuminate how arts and humanities tropes can aid in contextualizing Digital Arts and Humanities, Neogeographic and Social Media activity and data through the creation interpretive schemas to study interactions between visualizations, language, human behaviour, time and place.
Author | : Meliha Handzic |
Publisher | : Springer |
Total Pages | : 259 |
Release | : 2019-03-28 |
Genre | : Business & Economics |
ISBN | : 3030109224 |
This book presents a series of studies that demonstrate the value of interactions between knowledge management with the arts and humanities. The carefully compiled chapters show, on the one hand, how traditional methods from the arts and humanities – e.g. theatrical improvisation, clay modelling, theory of aesthetics – can be used to enhance knowledge creation and evolution. On the other, the chapters discuss knowledge management models and practices such as virtual knowledge space (BA) design, social networking and knowledge sharing, data mining and knowledge discovery tools. The book also demonstrates how these practices can yield valuable benefits in terms of organizing and analyzing big arts and humanities data in a digital environment.
Author | : Matt Hayler |
Publisher | : Edinburgh University Press |
Total Pages | : 256 |
Release | : 2016-05-30 |
Genre | : Computers |
ISBN | : 1474409679 |
As all scholars increasingly use digital tools to support their research, and every internet user becomes used to data being available, elucidating, and engaging, the creative aspects of Digital Humanities work are coming under increasing scrutiny. This volume explores the practice of making new tools, new images, new collections, and new artworks in an academic environment, detailing who needs to be involved and what their roles might be, and how they come together to produce knowledge as a collective. The chapters presented here demonstrate that creation is never neutral with political and theoretical concerns intentionally or unavoidably always being written into the fabric of what is being made, even if that's the seeming neatness of computer code. In presenting their own creative research, the writers in this volume offer examples of practice that will be of use to anyone interested in learning more about contemporary Digital Humanities scholarship and its implications.
Author | : Miltiadis D. Lytras |
Publisher | : MDPI |
Total Pages | : 416 |
Release | : 2020-03-19 |
Genre | : Technology & Engineering |
ISBN | : 3039282204 |
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.