Platforms and algorithms for decision making at scale

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Abstract/Contents

Abstract
The Internet is strengthening democracy by empowering individuals. Social media enables real-time dissemination of information. Online social networks enable people to come together in support of common causes. But despite the prevalence of Internet technologies, there has yet to be an online platform where large-scale democratic decision making occurs regularly as a society. Multiple obstacles remain in the way of building such platforms. For example, places where users can exercise free-form speech often degenerate into vitriol. The unstructured, large-scale nature of the Internet means that it is not obvious what the optimal way to aggregate opinions is and how to act on them. In this dissertation, we discuss our work on building platforms that tackle these issues from theoretical and practical perspectives. Specifically, - Participatory Budgeting (PB): PB is a democratic process where citizens vote on public budgets. We propose Knapsack Voting, a vote aggregation method in PB, and show that it is welfare-maximizing and strategy-proof under certain utility models. We also discuss the Participatory Budgeting Platform (pbstanford.org), our open-source platform for running online PB elections. It has been used throughout the United States, including Chicago, Boston, Seattle, and New York City, and has distributed over 60 million of public budgets. - Sequential Deliberation: Sequential deliberation is a vote aggregation method that uses rounds of small group interaction and can be used in decision spaces that are too complex for ordinal voting. We show that this method converges to the optimal point quickly under certain utility models. We also show how sequential deliberation can be used in PB to handle project interdependencies. - Online Deliberation Platform: We discuss our platform for conducting large-scale Deliberative Polls with an automated moderator that can support over 1,000 simultaneous participants (stanforddeliberate.org). The platform has been successfully deployed in the US, Canada, Chile, Hong Kong, and Japan, where people deliberated on complex issues such as health care, renewable energy, and foreign policy. We discuss the technical challenges and our study on the efficiency of the platform.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Sakshuwong, Sukolsak
Degree supervisor Goel, Ashish
Thesis advisor Goel, Ashish
Thesis advisor Ashlagi, Itai
Thesis advisor Fishkin, James S
Degree committee member Ashlagi, Itai
Degree committee member Fishkin, James S
Associated with Stanford University, Department of Management Science and Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Sukolsak Sakshuwong.
Note Submitted to the Department of Management Science & Engineering.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/ys577qk2513

Access conditions

Copyright
© 2021 by Sukolsak Sakshuwong
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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