Project Grant 2518373
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant awarded to the Regents of the University of Michigan in the amount of $574,681 will support research on informed, fair, efficient, and incentive-aware group decision making. The project aims to develop new models, mechanisms, and methods that can incentivize individuals to ensure group decisions achieve desired outcomes, particularly in fast-paced and increasingly online...
- This Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $106,000 to the Research Foundation of the City University of New York (RFCUNY) to conduct research on designing smart environments to enhance collective learning and creativity. The key products and services to be delivered under this 3-year award include: Developing large-scale online experiments and computational models to investigate how technological...
- This National Science Foundation (NSF) Division of Information and Intelligent Systems Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $299,214 over 4 years to Oberlin College to conduct collaborative research on decision-making methods for open multi-agent systems. The research investigates how autonomous agents can make optimal decisions under various types of uncertainty, including changes to the system composition, tasks,...
- This $286,178 Project Grant award, funded by the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research on how changes in information dissemination and consumption can impact strategic decision-making and the achievement of common goals. The project aims to develop new methodological tools to measure information similarity across individuals and analyze its effects on collective action problems, coordination games, and policy...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $225,974 to Cornell University to investigate how technological augmentations can enhance the learning and effectiveness of work teams, community groups, classrooms, and other collectives. The research examines the parameters that drive group-directed learning in areas such as cooperative behavior, collective intelligence, and collective creativity. The...
- This $272,750 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports fundamental research at the Massachusetts Institute of Technology (MIT) on how people make decisions and interact based on information. The key research focuses include: 1) understanding the long-term implications of people's limited or imperfect memory, which can lead to overconfidence and neglect of rare events; 2) examining how people decide...
- This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems, under the NSF CISE (Computer and Information Science and Engineering) program (CFDA 47.070), provides $424,916 to the Board of Regents of the University of Nebraska (dba University of Nebraska) from August 1, 2023 to July 31, 2027. The award supports collaborative research to investigate decision-making frameworks for open multiagent systems, where agents may enter/leave the...
- This $323,388 award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a collaborative research project to examine how smart technological environments can be optimized to augment collective learning and creativity. The research aims to investigate the parameters that drive group-directed learning in three key areas: cooperative behavior, collective intelligence, and collective creativity. The project involves large-scale...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research at Columbia University focused on developing incentive-driven algorithms and machine learning tools to improve the quality and representativeness of data used in high-stakes decision-making. The $575,000 award, with a project period from August 1, 2025 to July 31, 2028, aims to design data...
- The National Science Foundation (NSF) awarded a $360,000 Project Grant to the University of Illinois under the Engineering Program (CFDA 47.041) to support fundamental research and development on incentive design mechanisms. The 3-year project, commencing on September 1, 2024, aims to advance the theory of incentive design by removing stringent assumptions that limit its practical application. The research will explore how agents can learn each other's preferences, how behavioral traits...
COLLABORATIVE RESEARCH: RI: MEDIUM: INFORMED, FAIR, EFFICIENT, AND INCENTIVE-AWARE GROUP DECISION MAKING -IN OUR FAST-PACED AND INCREASINGLY ONLINE WORLD MAKING INFORMED DECISIONS IS BOTH MORE IMPORTANT AND HARDER THAN EVER. IN RESPONSE, THIS PROJECT WILL 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 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 CRITERIA FOR INFORMED GROUP DECISION MAKING, AND DESIGN NOVEL MECHANISMS TO ACHIEVE THEM. 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.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $535.8k | 5/15/25 |