Big Data in the Arts and Humanities: Theory and Practice, 1st Edition (Hardback) book cover

Big Data in the Arts and Humanities

Theory and Practice, 1st Edition

By Giovanni Schiuma, Daniela Carlucci

Auerbach Publications

214 pages | 25 B/W Illus.

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pub: 2018-05-08
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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.

Table of Contents

I. Understanding Big Data in Arts and Humanities

1. Literature Review on Big Data: What Do We Know So Far?

Susanne Durst, Helio Aisenberg Ferenhof, and Bahram Hooshyar Yousefi

2. Toward a Data-Driven World: Challenges and Opportunities in Arts and Humanities

Daniela Carlucci, Giovanni Schiuma, and Francesco Santarsiero

3. "Never Mind the Quality, Feel the Width": Big Data for Quality and Performance Evaluation in the Arts and Cultural Sector and the Case of "Culture Metrics"

Abigail Gilmore, Kostas Arvanitis, and Alexandra Albert

4. Toward "Big Data" in Museum Provenance

Jeffrey Smith

5. From Big Data to Thick Data: Theory and Practice

Paul Moore

II. Digital Humanities

6. Big Data and the Coming Historical Revolution: From Black Boxes to Models

Ian Milligan and Robert Warren

7. Use of Big Data in Historical Research

Richard A. Hawkins

8. The Study of Networked Content: Five Considerations for Digital Research in the Humanities

Sabine Niederer

9. The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies

Federica Perazzini

III. Managing Big Data with and for Arts and Humanities

10. Toward a Data Culture in the Cultural and Creative Industries

Cimeon Ellerton

11. Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work

Carl Stevens

12. Visualization of Scientific Image Data as Art Data

Jo Berry

13. Museums, Archives, and Universities—Structuring Future Connections with Big Data

Jane Milosch, Michael J. Kurtz, Gregory J. Jansen, Andrea Hull, and Richard Marciano

14. Mobile Technology to Contribute Operatively to the Safeguard of Cultural Heritage

Fabrizio Terenzio Gizzi, Beniamino Murgante, Marilisa Biscione, Maria Danese, Maria Sileo, Maria Rosaria Potenza, and Nicola Masini

15. Artists, Data, and Agency in Smart Cities

Roz Stewart-Hall and Martha King

About the Authors

Giovanni Schiuma is professor of innovation management at the University of Basilicata (Italy) and visiting professor of Arts Based Management at University of the Arts London. He is widely recognized as one of the world’s leading experts in arts and business and has authored or coauthored more than 200 publications on a range of research topics particularly embracing strategic knowledge asset and intellectual capital management, strategic performance measurement and management, innovation systems, innovation management, and organizational development. He is an inspiring speaker and facilitator, with extensive research management expertise and excellent ability to coordinate complex projects and lead research teams. Giovanni holds a number of visiting professorships and research fellowship appointments with renowned international universities, and as a visiting lecturer, he regularly gives seminars, workshops, and master classes around the world.

Daniela Carlucci is an assistant professor at the University of Basilicata, Italy. She teaches business management, project management, and project evaluation and management. Her research interests focus mainly on knowledge assets management, performance measurement and management, decision support methods, and organizational development. She has been a visiting scholar at the Cranfield School of Management, visiting professor at the Tampere University of Technology, and visiting researcher at the University of Arts of London. She is author and coauthor of several publications, including chapters of books, articles, and research reports on a range of research topics. Her researches have been published in internationally recognized journals such as Expert Systems with Applications, Production Planning and Control, Healthcare Management Science, Measuring Business Excellence, Knowledge Management Research and Practice, and many others. She systematically carries out referee activities for international scientific journals. She is actively involved in relevant research and consultancy activities as researcher and has worked on research projects involving national organizations and institutions. Moreover, Daniela is systematically engaged in teaching activities in public and private institutions.

About the Series

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Government & Business
COMPUTERS / Database Management / Data Mining
COMPUTERS / Information Technology