9780472128631.pdf

In Theater as Data, Miguel Escobar Varela explores the use of computational methods and digital data in theater research. He considers the implications of these new approaches, and explains the roles that statistics and visualizations play. Reflecting on recent debates in the humanities, the author...

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Γλώσσα:English
Έκδοση: University of Michigan Press 2021
id oapen-20.500.12657-49733
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spelling oapen-20.500.12657-497332021-07-02T00:35:31Z Theater as Data Escobar Varela, Miguel Theatre studies Acting techniques bic Book Industry Communication::A The arts::AN Theatre studies bic Book Industry Communication::A The arts::AN Theatre studies::ANC Acting techniques In Theater as Data, Miguel Escobar Varela explores the use of computational methods and digital data in theater research. He considers the implications of these new approaches, and explains the roles that statistics and visualizations play. Reflecting on recent debates in the humanities, the author suggests that there are two ways of using data, both of which have a place in theater research. Data-driven methods are closer to the pursuit of verifiable results common in the sciences; and data-assisted methods are closer to the interpretive traditions of the humanities. The book surveys four major areas within theater scholarship: texts (not only playscripts but also theater reviews and program booklets); relationships (both the links between fictional characters and the collaborative networks of artists and producers); motion (the movement of performers and objects on stage); and locations (the coordinates of performance events, venues, and touring circuits). Theater as Data examines important contributions to theater studies from similar computational research, including in classical French drama, collaboration networks in Australian theater, contemporary Portuguese choreography, and global productions of Ibsen. This overview is complemented by short descriptions of the author’s own work in the computational analysis of theater practices in Singapore and Indonesia. The author ends by considering the future of computational theater research, underlining the importance of open data and digital sustainability practices, and encouraging readers to consider the benefits of learning to code. A web companion offers illustrative data, programming tutorials, and videos. 2021-07-01T15:10:56Z 2021-07-01T15:10:56Z 2021 book ONIX_20210701_9780472128631_10 9780472128631 9780472074792 9780472054794 https://library.oapen.org/handle/20.500.12657/49733 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9780472128631.pdf University of Michigan Press University of Michigan Press 10.3998/mpub.11667458 10.3998/mpub.11667458 e07ce9b5-7a46-4096-8f0c-bc1920e3d889 e8e5852d-89d6-469e-a421-5474e29678cf 9780472128631 9780472074792 9780472054794 University of Michigan Press 231 [grantnumber unknown] National University of Singapore NUS open access
institution OAPEN
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language English
description In Theater as Data, Miguel Escobar Varela explores the use of computational methods and digital data in theater research. He considers the implications of these new approaches, and explains the roles that statistics and visualizations play. Reflecting on recent debates in the humanities, the author suggests that there are two ways of using data, both of which have a place in theater research. Data-driven methods are closer to the pursuit of verifiable results common in the sciences; and data-assisted methods are closer to the interpretive traditions of the humanities. The book surveys four major areas within theater scholarship: texts (not only playscripts but also theater reviews and program booklets); relationships (both the links between fictional characters and the collaborative networks of artists and producers); motion (the movement of performers and objects on stage); and locations (the coordinates of performance events, venues, and touring circuits). Theater as Data examines important contributions to theater studies from similar computational research, including in classical French drama, collaboration networks in Australian theater, contemporary Portuguese choreography, and global productions of Ibsen. This overview is complemented by short descriptions of the author’s own work in the computational analysis of theater practices in Singapore and Indonesia. The author ends by considering the future of computational theater research, underlining the importance of open data and digital sustainability practices, and encouraging readers to consider the benefits of learning to code. A web companion offers illustrative data, programming tutorials, and videos.
title 9780472128631.pdf
spellingShingle 9780472128631.pdf
title_short 9780472128631.pdf
title_full 9780472128631.pdf
title_fullStr 9780472128631.pdf
title_full_unstemmed 9780472128631.pdf
title_sort 9780472128631.pdf
publisher University of Michigan Press
publishDate 2021
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