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.

在我们这个快节奏和日益网络化的世界里，做出公平、公平和知情的决定比以往任何时候都更加重要和困难。在一个群体必须达成共识的情况下，在各种快速变化的信息面前，实现公平和公平变得更加困难。作为回应，本项目将结合社会选择理论和信息诱导的研究，创建一个新的研究方向，称为知情群体决策。这一新的研究领域通过明确考虑信息对代理人最终决策的作用，扩展了现有的群体决策模型和机制。最终目标是开发新的模式和方法，用来激励个人确保群体决策达到预期的结果。这项研究承诺了跨机构、教育和社会影响，并将扩大代表性不足群体在计算研究中的参与，培养高素质的专业人员，并吸引代表性不足群体的学生在计算相关领域继续学习。这项研究包括基础研究的三个维度和理论与实践的一个桥梁方向。维度1：表示旨在开发新的模型，用于结合代理的主观和客观偏好、信息和对查询的响应。维度2：聚集旨在为知情的群体决策引入新的效率和公平标准，并为诚实、合作的代理设计新的机制来实现这些标准。维度3：激励旨在通过提出新的均衡概念、对代理的行为进行分析以及设计新的激励感知机制来解决代理在知情群体决策中的激励问题。为了在理论和实践之间架起桥梁，本项目中开发的模型、算法和机制将通过各种教育和推广活动在开源在线偏好报告和汇总(OPRA)系统中进行部署、验证和改进。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。