Collaborative Research: RI: Medium: Informed, Fair, Efficient, and Incentive-Aware Group Decision Making

协作研究：RI：媒介：知情、公平、高效和具有激励意识的群体决策

• 批准号: 2313137
• 负责人: Grant Schoenebeck
• 金额: $ 57.47万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2313137&HistoricalAwards=false
• 关键词: Collaborative; Research; RI; Medium; Informed

In our fast-paced and increasingly online world making fair, equitable, and informed decisions is both more important and harder than ever. In situations where a group must come to a consensus, in the presence of varied and rapidly changing information, achieving fairness and equity becomes even more difficult. In response, this project will combine research from social choice theory and information elicitation to create a new research direction called informed group decision making. This new research area extends current models and mechanisms of group decision making by explicitly accounting for the role that information has on agents' final decisions. The final goal is to develop new models and methods that can be used to incentivize individuals to ensure group decisions achieve a desired outcome. This research promises cross-institutional, educational, and societal impacts and will broaden the participation of underrepresented groups in computing research, train highly qualified professionals, and engage students from underrepresented groups to pursue studies in computing-related fields.This research consists of three dimensions for foundational research and one direction for bridging theory and practice. Dimension 1: Representation aims to develop novel models for combining agents’ subjective and objective preferences, information, and responses to queries. Dimension 2: Aggregation aims to introduce novel efficiency and fairness criteria for informed group decision making, and design novel mechanisms to achieve them for truthful, cooperative agents. Dimension 3: Incentives aims to address agents’ incentives in informed group decision making by proposing novel equilibrium concepts, conducting analysis of agents’ behavior, and designing novel incentive-aware mechanisms. To bridge theory and practice, the models, algorithms, and mechanisms developed in this project will be deployed, validated, and refined at the open-source Online Preference Reporting and Aggregation (OPRA) system via various educational and outreach activities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在我们快节奏和日益在线化的世界中，做出公平、公正和知情的决策比以往任何时候都更加重要和困难，在这种情况下，群体必须在多样化和快速变化的信息中达成共识，以实现公平和公正。为此，该项目将结合社会选择理论和信息启发的研究，创建一个新的研究方向，称为知情群体决策，这个新的研究领域通过明确地考虑来扩展当前的群体决策模型和机制。信息对代理人最终决策的作用是最终目标。开发可用于激励个人的新模型和方法，以确保群体决策实现预期结果。这项研究有望产生跨机构、教育和社会影响，并将扩大代表性不足的群体对计算机研究的参与，培养高素质的专业人员。维度 1：表征旨在开发新的模型来结合代理人的主观和维度 2：聚合旨在为知情群体决策引入新的效率和公平标准，并设计新的机制来实现诚实、合作的代理。维度 3：激励旨在解决代理的问题。通过提出新颖的概念、对代理人的行为进行分析以及设计新颖的激励感知机制来促进知情群体决策的激励。为了连接理论和实践，本项目中开发的模型、算法和机制将得到部署、验证和验证。精制通过各种教育和外展活动，参与开源在线偏好报告和聚合 (OPRA) 系统。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。