Details
Title | Knowledge machines. Digital transformations of the sciences and humanities: digital transformations of the sciences and humanities |
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Creators | Meyer Eric T.; Schroeder Ralph |
Organization | IEEE Xplore (Online Service); MIT Press |
Imprint | Cambridge, Massachusetts London, England: MIT Press, 2015 |
Collection | Электронные книги зарубежных издательств; Общая коллекция |
Subjects | Интернет; Информационные технологии; Информация — Обработка на вычислительных машинах; междисциплинарные исследования; технологические инновации; MIT Press eBooks Library |
UDC | 004 |
Document type | Other |
File type | Other |
Language | English |
Rights | Доступ по паролю из сети Интернет (чтение, печать) |
Record key | 7109386 |
Record create date | 12/29/2015 |
In Knowledge Machines, Eric Meyer and Ralph Schroeder argue that digital technologies have fundamentally changed research practices in the sciences, social sciences, and humanities. Meyer and Schroeder show that digital tools and data, used collectively and in distributed mode -- which they term e-research -- have transformed not just the consumption of knowledge but also the production of knowledge. Digital technologies for research are reshaping how knowledge advances in disciplines that range from physics to literary analysis. Meyer and Schroeder map the rise of digital research and offer case studies from many fields, including biomedicine, social science uses of the Web, astronomy, and large-scale textual analysis in the humanities. They consider such topics as the challenges of sharing research data and of big data approaches, disciplinary differences and new forms of interdisciplinary collaboration, the shifting boundaries between researchers and their publics, and the ways that digital tools promote openness in science.This book considers the transformations of research from a number of perspectives, drawing especially on the sociology of science and technology and social informatics. It shows that the use of digital tools and data is not just a technical issue; it affects research practices, collaboration models, publishing choices, and even the kinds of research and research questions scholars choose to pursue. Knowledge Machines examines the nature and implications of these transformations for scholarly research.
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