Urban data governance and policies : a comparison using case studies

Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020

Bibliographic Details
Main Author: Chan, Shelley (Shelley Claire)
Other Authors: Massachusetts Institute of Technology. Engineering and Management Program.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2021
Subjects:
Online Access:https://hdl.handle.net/1721.1/132808
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author Chan, Shelley (Shelley Claire)
author2 Massachusetts Institute of Technology. Engineering and Management Program.
author_facet Massachusetts Institute of Technology. Engineering and Management Program.
Chan, Shelley (Shelley Claire)
author_sort Chan, Shelley (Shelley Claire)
collection MIT
description Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020
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spelling mit-1721.1/1328082021-10-09T03:39:30Z Urban data governance and policies : a comparison using case studies Chan, Shelley (Shelley Claire) Massachusetts Institute of Technology. Engineering and Management Program. System Design and Management Program. Massachusetts Institute of Technology. Engineering and Management Program System Design and Management Program Engineering and Management Program. System Design and Management Program. Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020 Cataloged from the official version of thesis. Includes bibliographical references (pages 65-68). Due to increasing internet access and mobile phone usage, the collection of data has exploded globally in the past decade. At the same time, the processing power and storage capabilities have become cheap and prevalent, and sophistication and complexity of AI and machine learning algorithms have advanced and are widespread. Data is a new type of capital. Public governance has not yet caught up, and because of the specialized technical expertise required, the public sector has permitted and sometimes even invited private companies to make the rules. Caught up in these trends is a tension between cities wanting to be at the forefront of technology while needing to act in the public interest and protect the marginalized and underrepresented. This thesis utilizes a comparative analysis of two case studies, Toronto and New York, to examine the existing urban data governance models and identify some learnings from the comparison. Within each case study, the thesis employs systems architectural concepts such as stakeholder mapping and architectural decisions to illustrate differences and highlight shortcomings and potential recommendations to address in future policy proposals. by Shelley Chan. S.M. in Engineering and Management S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program 2021-10-08T16:48:14Z 2021-10-08T16:48:14Z 2020 2020 Thesis https://hdl.handle.net/1721.1/132808 1262990511 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 68 pages application/pdf Massachusetts Institute of Technology
spellingShingle Engineering and Management Program.
System Design and Management Program.
Chan, Shelley (Shelley Claire)
Urban data governance and policies : a comparison using case studies
title Urban data governance and policies : a comparison using case studies
title_full Urban data governance and policies : a comparison using case studies
title_fullStr Urban data governance and policies : a comparison using case studies
title_full_unstemmed Urban data governance and policies : a comparison using case studies
title_short Urban data governance and policies : a comparison using case studies
title_sort urban data governance and policies a comparison using case studies
topic Engineering and Management Program.
System Design and Management Program.
url https://hdl.handle.net/1721.1/132808
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