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This books sheds light on the unique and creative contributions that the arts and humanities can make to the development of approaches to effectively use big data. It also looks at opportunities and challenges for research in the arts and humanities created by the capability to handle and use sophisticatedly very huge and complex data sets.
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This books sheds light on the unique and creative contributions that the arts and humanities can make to the development of approaches to effectively use big data. It also looks at opportunities and challenges for research in the arts and humanities created by the capability to handle and use sophisticatedly very huge and complex data sets.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 214
- Erscheinungstermin: 8. Mai 2018
- Englisch
- Abmessung: 239mm x 160mm x 23mm
- Gewicht: 517g
- ISBN-13: 9781498765855
- ISBN-10: 1498765858
- Artikelnr.: 52713122
- Verlag: CRC Press
- Seitenzahl: 214
- Erscheinungstermin: 8. Mai 2018
- Englisch
- Abmessung: 239mm x 160mm x 23mm
- Gewicht: 517g
- ISBN-13: 9781498765855
- ISBN-10: 1498765858
- Artikelnr.: 52713122
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.
I. Understanding Big Data in Arts and Humanities. 1. Literature Review on
Big Data: What Do We Know So Far? 2. Toward a Data-Driven World: Challenges
and Opportunities in Arts and Humanities. 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". 4. Toward "Big Data" in
Museum Provenance. 5. From Big Data to Thick Data: Theory and Practice.
Section II. Digital Humanities. 6. Big Data and the Coming Historical
Revolution: From Black Boxes to Models. 7. Use of Big Data in Historical
Research. 8. The Study of Networked Content: Five Considerations for
Digital Research in the Humanities. 9. The English Gothic Novel: Theories
and Praxis of Computer-Based Macroanalysis in Literary Studies. Section
III. Managing Big Data with and for Arts and Humanities. 10. Toward a Data
Culture in the Cultural and Creative Industries. 11. Arts Council England:
Using Big Data to Understand the Quality of Arts and Cultural Work. 12.
Visualization of Scienti¿c Image Data as Art Data. 13. Museums, Archives,
and Universities-Structuring Future Connections with Big Data. 14. Mobile
Technology to Contribute Operatively to the Safeguard of Cultural Heritage.
15. Artists, Data, and Agency in Smart Cities.
Big Data: What Do We Know So Far? 2. Toward a Data-Driven World: Challenges
and Opportunities in Arts and Humanities. 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". 4. Toward "Big Data" in
Museum Provenance. 5. From Big Data to Thick Data: Theory and Practice.
Section II. Digital Humanities. 6. Big Data and the Coming Historical
Revolution: From Black Boxes to Models. 7. Use of Big Data in Historical
Research. 8. The Study of Networked Content: Five Considerations for
Digital Research in the Humanities. 9. The English Gothic Novel: Theories
and Praxis of Computer-Based Macroanalysis in Literary Studies. Section
III. Managing Big Data with and for Arts and Humanities. 10. Toward a Data
Culture in the Cultural and Creative Industries. 11. Arts Council England:
Using Big Data to Understand the Quality of Arts and Cultural Work. 12.
Visualization of Scienti¿c Image Data as Art Data. 13. Museums, Archives,
and Universities-Structuring Future Connections with Big Data. 14. Mobile
Technology to Contribute Operatively to the Safeguard of Cultural Heritage.
15. Artists, Data, and Agency in Smart Cities.
I. Understanding Big Data in Arts and Humanities. 1. Literature Review on
Big Data: What Do We Know So Far? 2. Toward a Data-Driven World: Challenges
and Opportunities in Arts and Humanities. 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". 4. Toward "Big Data" in
Museum Provenance. 5. From Big Data to Thick Data: Theory and Practice.
Section II. Digital Humanities. 6. Big Data and the Coming Historical
Revolution: From Black Boxes to Models. 7. Use of Big Data in Historical
Research. 8. The Study of Networked Content: Five Considerations for
Digital Research in the Humanities. 9. The English Gothic Novel: Theories
and Praxis of Computer-Based Macroanalysis in Literary Studies. Section
III. Managing Big Data with and for Arts and Humanities. 10. Toward a Data
Culture in the Cultural and Creative Industries. 11. Arts Council England:
Using Big Data to Understand the Quality of Arts and Cultural Work. 12.
Visualization of Scienti¿c Image Data as Art Data. 13. Museums, Archives,
and Universities-Structuring Future Connections with Big Data. 14. Mobile
Technology to Contribute Operatively to the Safeguard of Cultural Heritage.
15. Artists, Data, and Agency in Smart Cities.
Big Data: What Do We Know So Far? 2. Toward a Data-Driven World: Challenges
and Opportunities in Arts and Humanities. 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". 4. Toward "Big Data" in
Museum Provenance. 5. From Big Data to Thick Data: Theory and Practice.
Section II. Digital Humanities. 6. Big Data and the Coming Historical
Revolution: From Black Boxes to Models. 7. Use of Big Data in Historical
Research. 8. The Study of Networked Content: Five Considerations for
Digital Research in the Humanities. 9. The English Gothic Novel: Theories
and Praxis of Computer-Based Macroanalysis in Literary Studies. Section
III. Managing Big Data with and for Arts and Humanities. 10. Toward a Data
Culture in the Cultural and Creative Industries. 11. Arts Council England:
Using Big Data to Understand the Quality of Arts and Cultural Work. 12.
Visualization of Scienti¿c Image Data as Art Data. 13. Museums, Archives,
and Universities-Structuring Future Connections with Big Data. 14. Mobile
Technology to Contribute Operatively to the Safeguard of Cultural Heritage.
15. Artists, Data, and Agency in Smart Cities.