Skip to Main Content
MIT Press Direct, home
header search
Search
Advanced Search
Skip Nav Destination
Critical Perspectives on Open Development: Empirical Interrogation of Theory Construction
International Development Research Centre
Critical Perspectives on Open Development: Empirical Interrogation of Theory Construction
Edited by
Arul Chib
Arul Chib

Arul Chib is Associate Professor at the Wee Kim Wee School of Communication and Information at Nanyang Technological University, Singapore.

Search for other works by this author on:
This Site
Google Scholar
Caitlin M. Bentley
Caitlin M. Bentley

Caitlin M. Bentley is a Lecturer at the Information School at the University of Sheffield and an Honorary Fellow at Australian National University's 3A Institute.

Search for other works by this author on:
This Site
Google Scholar
Matthew L. Smith
Matthew L. Smith

Matthew L. Smith is Senior Program Specialist at the International Development Research Centre in Ottawa and coeditor of Open Development: Networked Innovations in International Development (MIT Press and IDRC).

Search for other works by this author on:
This Site
Google Scholar
The MIT Press
DOI:
https://doi.org/10.7551/mitpress/11480.001.0001
ISBN electronic:
9780262363327
Publication date:
2021
Chapter Contents
Book Chapter

I: Pragmatic Approaches to Open Development

  • Published:
    2021
Creative Commons Attribution 4.0 International Public License
This work is licensed under a Creative Commons Attribution 4.0 International License .
Attribution

A Stewardship Approach to Theorizing Open Data for Development

Creative Commons Attribution 4.0 International Public License
This work is licensed under a Creative Commons Attribution 4.0 International License .
Attribution

Trust and Open Development

Creative Commons Attribution 4.0 International Public License
This work is licensed under a Creative Commons Attribution 4.0 International License .
Attribution

Learning as Participation: Open Practices and the Production of Identities

Creative Commons Attribution 4.0 International Public License
This work is licensed under a Creative Commons Attribution 4.0 International License .
Attribution
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2024 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept