AitF: Collaborative Research: Fair and Efficient Societal Decision Making via Collaborative Convex Optimization
AitF: Collaborative Research: Fair and Efficient Societal Decision Making via Collaborative Convex Optimization
批准号:
1637418
负责人:
Ashish Goel
金额:
$47.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-08-31
中文摘要
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英文摘要
YouTube competes with Hollywood as an entertainment channel, and also supplements Hollywood by acting as a distribution mechanism. Twitter has a similar relationship to news media, and Coursera to Universities. But there are no online alternatives for making democratic decisions at large scale as a society. As opposed to building consensus and compromise, public discussion boards often devolve into flame wars when dealing with contentious socio-political issues. This project aims to develop algorithms and platforms for collaborative decision making at scale. These platforms will be deployed in real decision-making processes, resulting in substantial broad impact.Much of the work will be informed by participatory budgeting, where a group of users collectively produce a budget. Since budgetary constraints can be modeled as convex constraints, the insights from participatory budgeting will then be applied to more general convex decision spaces.On the algorithmic side, the PIs propose to develop algorithms and mechanisms for consensus that go beyond simple voting. In complex decision spaces, the normal voting methodology of ranking a set of candidates breaks down, and we need new mechanisms. For example, for participatory budgeting, the users might be asked to solve a knapsack problem, providing a complete budget. This leads to exciting directions in incentive compatibility, opinion dynamics, fairness, and convex optimization. Indeed, the PIs believe that this is the natural next step in the evolution of social choice theory, and would represent a substantial intellectual advance in both algorithms and mechanism design.On the experimental and evaluation side, this work will take the deliberative polling methodology developed by Co-PI Fishkin, and design tools for extending it to participatory budgeting. This project will also evaluate how deliberative polling can scale to large online communities. This is a natural next step in the evolution of deliberative democracy.On the deployment side, this project will advance our understanding of how to design interfaces for discussion, collaboration, and voting that lead to genuine deliberation and consensus on complex problems, as opposed to devolving into vitriol like many discussion boards and comment threads.
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Relating Metric Distortion and Fairness of Social Choice Rules
将度量扭曲与社会选择规则的公平性联系起来
DOI:
10.1145/3230654.3230658
发表时间:
2018
期刊:
Systems and Computation
影响因子:
--
作者:
[Goel, Ashish, Hulett, Reyna, Krishnaswamy, Anilesh K.]
通讯作者:
Krishnaswamy, Anilesh K.
DOI:
--
发表时间:
2018
期刊:
Web and Internet Economics - 14th International Conference
影响因子:
--
作者:
[Garg, Nikhil, Goel, Ashish, Plaut, Benjamin]
通讯作者:
Plaut, Benjamin
DOI:
--
发表时间:
2018-10
期刊:
ArXiv
影响因子:
--
作者:
[Ashish Goel;A. Krishnaswamy]
通讯作者:
Ashish Goel;A. Krishnaswamy
DOI:
10.1613/jair.1.11358
发表时间:
2019
期刊:
Journal of Artificial Intelligence Research
影响因子:
5
作者:
[Garg, Nikhil, Kamble, Vijay, Goel, Ashish, Marn, David, Munagala, Kamesh]
通讯作者:
Munagala, Kamesh
DOI:
10.1145/3340230
发表时间:
2019-08-01
期刊:
ACM TRANSACTIONS ON ECONOMICS AND COMPUTATION
影响因子:
1.2
作者:
[Goel, Ashish, Krishnaswamy, Anilesh K., Aitamurto, Tanja]
通讯作者:
Aitamurto, Tanja
共 8 条
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资助金额:$20.0万
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DC: Small: The Use of Ternary Associative Memories in Data Intensive Computing
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负责人:Ashish Goel
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SGER: Algorithmic Issues at the Nano Scale
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批准号:0650058
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资助金额:$13.0万
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财政年份:2006
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负责人:Ashish Goel
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依托单位:
NANO: Collaborative Research: Algorithmic error-correction in biologically inspired self-assembly and computation
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批准号:0524783
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项目类别:Continuing Grant
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资助金额:$22.5万
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财政年份:2005
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COLLABORATIVE RESEARCH: DNA Self-Assembly -- Experimentation and Theoretical Foundations
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资助金额:$20.0万
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负责人:Ashish Goel
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依托单位:
CAREER: Algorithms for Services - Oriented Communications Networks
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批准号:0339262
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项目类别:Continuing Grant
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资助金额:$27.96万
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财政年份:2003
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负责人:Ashish Goel
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依托单位:
CAREER: Algorithms for Services - Oriented Communications Networks
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负责人:Ashish Goel
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依托单位:
海外基金