Fr. 52.50

Computational Humanities

English · Paperback / Softback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more










"Computational Humanities brings together leading experts to consider what counts as digital humanities scholarship, offering nuanced discourse centered around theories of knowledge and power. Providing case studies of collaborations between humanities-centered and computation-centered researchers, this volume shows that data and computation are as much about power, prestige, and precarity as they are about p-values"--

About the author










Lauren Tilton is E. Claiborne Robins Professor of Liberal Arts and Digital Humanities at the University of Richmond. She is coauthor of Distant Viewing: Computational Exploration of Digital Images.
 
David Mimno is associate professor of information science at Cornell University.
 
Jessica Marie Johnson is associate professor of history at Johns Hopkins University and director of LifexCode: Digital Humanities Against Enclosure. She is author of Wicked Flesh: Black Women, Intimacy, and Freedom in the Atlantic World.


Summary

The first book to intervene in debates on computation in the digital humanities.

Product details

Authors Jessica Marie (EDT)/ Mimno Johnson, Jessica Marie Mimno Johnson
Assisted by Jessica Marie Johnson (Editor), David Mimno (Editor), Lauren Tilton (Editor)
Publisher University Of Minnesota Press
 
Languages English
Product format Paperback / Softback
Released 01.09.2024
 
EAN 9781517915988
ISBN 978-1-5179-1598-8
No. of pages 344
Series Debates in the Digital Humanities
Subjects Non-fiction book > Politics, society, business > Society
Social sciences, law, business > Media, communication > Media science

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.