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Computational History and Data-Driven Humanities

2016-11-07 Computers
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Release : 2016-11-07
Genre : Computers
Kind : eBook
Book Rating : 245/5 ( reviews)

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Book Synopsis Computational History and Data-Driven Humanities by : Bojan Bozic

Download or read book Computational History and Data-Driven Humanities written by Bojan Bozic. This book was released on 2016-11-07. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-proceedings of the Second IFIP WG 12.7 International Workshop on Computational History and Data-Driven Humanities, held in Dublin, Ireland, in May 2016. The 7 full papers presented together with 2 invited talks and 4 lightning talks were carefully reviewed and selected from 14 submissions. The papers focus on the challenge and opportunities of data-driven humanities and cover topics at the interface between computer science, social science, humanities, and mathematics.

Computation and the Humanities

2016-11-23 Computers
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Release : 2016-11-23
Genre : Computers
Kind : eBook
Book Rating : 700/5 ( reviews)

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Book Synopsis Computation and the Humanities by : Julianne Nyhan

Download or read book Computation and the Humanities written by Julianne Nyhan. This book was released on 2016-11-23. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the application of computing to cultural heritage and the discipline of Digital Humanities that formed around it. Digital Humanities research is transforming how the Human record can be transmitted, shaped, understood, questioned and imagined and it has been ongoing for more than 70 years. However, we have no comprehensive histories of its research trajectory or its disciplinary development. The authors make a first contribution towards remedying this by uncovering, documenting, and analysing a number of the social, intellectual and creative processes that helped to shape this research from the 1950s until the present day. By taking an oral history approach, this book explores questions like, among others, researchers’ earliest memories of encountering computers and the factors that subsequently prompted them to use the computer in Humanities research. Computation and the Humanities will be an essential read for cultural and computing historians, digital humanists and those interested in developments like the digitisation of cultural heritage and artefacts. This book is open access under a CC BY-NC 2.5 license

Big Data in Computational Social Science and Humanities

2018-11-21 Computers
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Release : 2018-11-21
Genre : Computers
Kind : eBook
Book Rating : 652/5 ( reviews)

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Book Synopsis Big Data in Computational Social Science and Humanities by : Shu-Heng Chen

Download or read book Big Data in Computational Social Science and Humanities written by Shu-Heng Chen. This book was released on 2018-11-21. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Companion to Digital Humanities

2008-03-03 Literary Criticism
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Release : 2008-03-03
Genre : Literary Criticism
Kind : eBook
Book Rating : 064/5 ( reviews)

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Book Synopsis A Companion to Digital Humanities by : Susan Schreibman

Download or read book A Companion to Digital Humanities written by Susan Schreibman. This book was released on 2008-03-03. Available in PDF, EPUB and Kindle. Book excerpt: This Companion offers a thorough, concise overview of the emerging field of humanities computing. Contains 37 original articles written by leaders in the field. Addresses the central concerns shared by those interested in the subject. Major sections focus on the experience of particular disciplines in applying computational methods to research problems; the basic principles of humanities computing; specific applications and methods; and production, dissemination and archiving. Accompanied by a website featuring supplementary materials, standard readings in the field and essays to be included in future editions of the Companion.

The Shape of Data in Digital Humanities

2018-11-02 Language Arts & Disciplines
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Release : 2018-11-02
Genre : Language Arts & Disciplines
Kind : eBook
Book Rating : 149/5 ( reviews)

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Book Synopsis The Shape of Data in Digital Humanities by : Julia Flanders

Download or read book The Shape of Data in Digital Humanities written by Julia Flanders. This book was released on 2018-11-02. Available in PDF, EPUB and Kindle. Book excerpt: Data and its technologies now play a large and growing role in humanities research and teaching. This book addresses the needs of humanities scholars who seek deeper expertise in the area of data modeling and representation. The authors, all experts in digital humanities, offer a clear explanation of key technical principles, a grounded discussion of case studies, and an exploration of important theoretical concerns. The book opens with an orientation, giving the reader a history of data modeling in the humanities and a grounding in the technical concepts necessary to understand and engage with the second part of the book. The second part of the book is a wide-ranging exploration of topics central for a deeper understanding of data modeling in digital humanities. Chapters cover data modeling standards and the role they play in shaping digital humanities practice, traditional forms of modeling in the humanities and how they have been transformed by digital approaches, ontologies which seek to anchor meaning in digital humanities resources, and how data models inhabit the other analytical tools used in digital humanities research. It concludes with a glossary chapter that explains specific terms and concepts for data modeling in the digital humanities context. This book is a unique and invaluable resource for teaching and practising data modeling in a digital humanities context.

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