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Not a zero sum game : how to simultaneously maximize efficiency and privacy in data-driven urban governance

Author(s)
Kodali,Nikita Krishna.
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Download1129456313-MIT.pdf (6.149Mb)
Alternative title
How to simultaneously maximize efficiency and privacy in data-driven urban governance
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Karen Sollins.
Terms of use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
India has been striving towards digitization of citizen data and government services using e-governance platforms to improve accountability, transparency, and efficiency. Accordingly, India launched the world's largest biometric ID system, Aadhaar, in 2009 and the "100 Smart Cities Mission" in 2015. However, with the immense wealth of personal data being digitized, guarantees on personal privacy were subsequently called into question. In August of 2017, the Supreme Court of India declared that privacy is a fundamental right. To examine the juxtaposition of governmental efficiency and personal privacy through rapid digitization, we investigate and collect city metadata by examining the architecture of the products of eGovernments Foundation, one of the leading providers of digital tools for ULBs, and by directly by interacting with cities.
 
In this particular study, we investigate New Property Tax Assessment applications, New Water Tap Connection applications, and Public Grievance Redressals for 112 Urban Local Bodies (ULBs) in the state of Andhra Pradesh. Through field work, collection of data, and further analysis, we observe which data fields are collected how they are used. We define a Government Efficiency Index (GEI) and Information Privacy Index (IPI) in order to provide a standard for understanding and analyzing the trade-offs between government efficiency and citizen privacy for these services across all ULBs. This thesis examines how ULBs perform on GEI and IPI axes through multiple lenses. Using real data, we demonstrate that both efficiency and privacy are measurable concepts in the context of urban governance.
 
Furthermore, the methodology of identifying top-performing cities outlined in this thesis allows us to conclude that there exist exemplar cases of ULBs that have high impact on both the GEI and IPI axes. Thus, this methodology for comparing efficiency and privacy provides a structure to understanding, evaluating, and comparing governmental processes.
 
Description
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 96-98).
 
Date issued
2019
URI
https://hdl.handle.net/1721.1/123175
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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