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:
1637397
负责人:
Kameshwar Munagala
金额:
$33.3万
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 2021-08-31
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.
期刊论文(15)
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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:
10.1145/3033274.3085138
发表时间:
2017
期刊:
EC '17 Proceedings of the 2017 ACM Conference on Economics and Computation
影响因子:
--
作者:
[Goel, Ashish, Krishnaswamy, Anilesh K., Munagala, Kamesh]
通讯作者:
Munagala, Kamesh
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice
扭曲的集中:随机社会选择中额外选民的价值
DOI:
10.24963/ijcai.2020/16
发表时间:
2020
期刊:
IJCAI 2020
影响因子:
--
作者:
[Fain, Brandon, Fan, William, Munagala, Kamesh]
通讯作者:
Munagala, Kamesh
Fair Allocation of Indivisible Public Goods
不可分割公共物品的公平分配
DOI:
10.1145/3219166.3219174
发表时间:
2018
期刊:
Proceedings of the 2018 ACM Conference on Economics and Computation
影响因子:
--
作者:
[Fain, B, Munagala, K, Shah, N.]
通讯作者:
Shah, N.
Approximately Stable Committee Selection
大致稳定的委员会选举
DOI:
--
发表时间:
2020
期刊:
STOC 2020
影响因子:
--
作者:
[Jiang, Zhihao and]
通讯作者:
Jiang, Zhihao and
共 14 条
AF: Small: Algorithm and Incentive Design for Modern Resource Allocation Platforms
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批准号:2113798
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项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2021
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负责人:Kameshwar Munagala
-
依托单位:
BIGDATA: F: DKA: Collaborative Research: Dealing Efficiently with Big Social Network Data
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批准号:1447554
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项目类别:Continuing Grant
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资助金额:$30.0万
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财政年份:2014
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负责人:Kameshwar Munagala
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依托单位:
AF: Medium: Collaborative Research: Multi-dimensional Scheduling and Resource Allocation in Data Centers
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批准号:1408784
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项目类别:Continuing Grant
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资助金额:$42.43万
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财政年份:2014
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负责人:Kameshwar Munagala
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依托单位:
CCF:AF:EAGER Algorithmic Paradigms for Computation on MapReduce
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批准号:1348696
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2013
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负责人:Kameshwar Munagala
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依托单位:
AF: Small: Auction Design in Constrained Settings
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批准号:1008065
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项目类别:Standard Grant
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资助金额:$50.0万
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财政年份:2010
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负责人:Kameshwar Munagala
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依托单位:
CAREER: Light-weight Near-optimal Stochastic Control Policies for Information Acquisition and Exploitation
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批准号:0745761
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2008
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负责人:Kameshwar Munagala
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依托单位:
海外基金