Algorithmic Bureaucracy-Reference-Cited by-同舟云学术

Algorithmic Bureaucracy

Published:2019-06-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th Annual International Conference on Digital Government Research
language:
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Author:

Vogl Thomas¹,Seidelin Cathrine²,Ganesh Bharath¹,Bright Jonathan¹

Affiliation:

1. University of Oxford

2. IT University of Copenhagen

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3325112.3325240

Reference37 articles.

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2. Forecasting Domestic Violence: A Machine Learning Approach to Help Inform Arraignment Decisions

3. Bright J. Ganesh B. Seidelin C. and Vogl T. 2019. Data Science for Local Government: Challenges and Opportunities. Oxford Internet Institute University of Oxford. Available from: https://smartcities.oii.ox.ac.uk/data-science-for-local-government-report/. Bright J. Ganesh B. Seidelin C. and Vogl T. 2019. Data Science for Local Government: Challenges and Opportunities. Oxford Internet Institute University of Oxford. Available from: https://smartcities.oii.ox.ac.uk/data-science-for-local-government-report/.

4. Catalyst Project - Improving community services for vulnerable people: https://www.essex.ac.uk/research/showcase/catalyst-project. Accessed: 2019-01-26. Catalyst Project - Improving community services for vulnerable people: https://www.essex.ac.uk/research/showcase/catalyst-project. Accessed: 2019-01-26.

5. E-government and organizational change: Reappraising the role of ICT and bureaucracy in public service delivery

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