The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $300,000 Project Grant to the Massachusetts Institute of Technology (MIT) under the NSF Engineering program (CFDA 47.041) to advance the field of engineering design. The project aims to develop a framework for accurately evaluating the novelty and quality of diverse design artifacts, such as CAD drawings, text, sketches, and prototypes, using a combination of human experts and machine learning (ML) methods. The research will investigate three distinct approaches: (1) human expert and crowd-sourced ratings, (2) pure ML-based methods, and (3) expert-assisted ML techniques. The goal is to better understand how design representation impacts the reliability of crowd-based design evaluations, establish multi-modal representation learning methods for design assessment, and create scalable crowd-ML collaboration methods for design evaluation. The project will also establish an open-source website and workshops to enhance broader impacts on the engineering design community.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $300.0k | 7/31/23 |