Project Grant 2419423

Award Date 1/1/24
Completion Date 8/31/26
Dollars Obligated $194K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Fountain Hill, PA 18015, USA
Similar Awards
The University of Texas at Austin was awarded a $282,698 Project Grant by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to investigate the impact of information uncertainty on design decision-making under competition between teams. The 3-year project aims to develop quantitative models, metrics, and experimental testbeds to study how bounded rationality and imperfect information exchange affect sequential design decisions in competitive team environments. The research...
This Project Grant award of $316,623 from the National Science Foundation's Engineering program (CFDA 47.041) funds research at Penn State University from August 2021 through July 2024 to characterize expert behavior during interactive parametric building design. The goal of the NSF Directorate for Engineering is to improve quality of life and economic strength through innovative engineering research and education. This award will further those goals by exploring expert interactions and...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $431,033 Project Grant to the University of Iowa on Sep 1, 2023 to conduct research on novel computational methods for design optimization under uncertainty with arbitrary dependent probability distributions. The research aims to develop efficient computational algorithms and practical tools for robust and reliability-based design optimization of high-dimensional complex engineering systems subject to...
Lehigh University received a $398,806 Project Grant award from the National Science Foundation on September 1, 2021 to support research titled "CAREER: COMPUTATIONAL DESIGN OF SUSTAINABLE HYDROGENATION SYSTEMS VIA A NOVEL COMBINATION OF DATA SCIENCE, OPTIMIZATION, AND AB INITIO METHODS." The award is part of the NSF's Engineering program (CFDA 47.041), which seeks to improve quality of life and economic strength through engineering research and education. Under the award, Lehigh...
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...
This National Science Foundation (NSF) Engineering Program (CFDA 47.041) $150,000 Project Grant award to the University of Wisconsin-Madison funds a 2-year exploratory research project titled "EAGER: Collaborative Research: Real-Time Heterogeneous Transfer Active Learning to Bridge Knowledge Gaps in System Integration Under Environmental Uncertainty." The project aims to develop a real-time transfer learning framework to enhance uncertainty quantification and quality control for...
The National Science Foundation awarded a $557,806 Faculty Early Career Development (CAREER) Program grant to Lehigh University to conduct research on how the allocation of design tasks between humans and artificial intelligence (AI) agents impacts engineering design outcomes. The 5-year project seeks to develop a systematic approach for defining optimal roles for AI within hybrid human-AI design teams. It will use computational modeling and experiments with a video game platform to assess how...
This $170,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports fundamental research on experimental design and uncertainty quantification frameworks for complex systems. The research aims to develop new statistical surrogate models and sequential experimental algorithms to enhance the efficiency and effectiveness of information collection and decision-making for complex systems in...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $299,662 Project Grant to The Pennsylvania State University, doing business as Penn State, for a project titled "COLLABORATIVE RESEARCH: LEVERAGING CROWD-AI TEAMS FOR SCALABLE NOVELTY RATINGS OF HETEROGENEOUS DESIGN REPRESENTATIONS". This research project will develop a framework to accurately evaluate the novelty and quality of complex, heterogeneous design artifacts using a combination of...
This $438,342 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to develop efficient and rigorous techniques for solving complex, multi-objective decision-making problems under uncertainty. The research aims to facilitate tradeoffs among multiple objectives while using statistically valid algorithms to achieve high efficiency. Key approaches include novel comparison techniques, data recycling, computer simulation, and parallel...

This $193,750 Project Grant award from the National Science Foundation's (NSF) Engineering program supports research at Lehigh University to investigate the impact of information uncertainty on design decision-making under competition within engineering teams. The key objectives are to develop theoretical and experimental models to computationally analyze how bounded rationality and competitive dynamics influence sequential design decisions by human designers when sharing incomplete information. The expected outcomes include new metrics, models, algorithms, and testbeds to better understand this phenomenon. The research findings will be validated through a real-world solar system design challenge involving competitive teams. This award also supports engaging diverse undergraduate students in the research activities through Lehigh's outreach programs.

Generated 12/10/24, 10:28 AM