Project Grant 2444572
- This National Science Foundation (NSF) Project Grant, awarded under the STEM Education (CFDA 47.076) program, aims to develop smart industrial robots that provide personalized support for autistic employees in manufacturing and STEM work environments. The $300,000 award, granted on August 15, 2024, will fund a five-year project led by the University of Notre Dame. The project focuses on two primary objectives: (1) co-creating support approaches based on self-determination theory to address the...
- This $819,984 federal Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) aims to develop smart industrial robots that provide personalized support for autistic employees in manufacturing and STEM work environments. The primary objectives are to: (1) co-create support approaches based on self-determination theory to address the fundamental psychological needs of autonomy, competence, and relatedness for autistic workers, and (2) enhance robot...
- This $250,000 Project Grant award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) will fund a study on the ethical and financial trade-offs of machine learning (ML) training methods used to develop large language models (LLMs) like ChatGPT. The study, conducted by Georgia Tech Research Corp, will: 1) Identify current practices among researchers for training LLMs using large datasets; 2) Examine the trade-offs of different data...
- This $200,000 Project Grant, awarded on September 15, 2023 by the National Science Foundation's Innovative Technology Experiences for Students and Teachers (ITEST) program (CFDA 47.076), supports research to develop a community-inclusive AI chatbot that will help K-12 STEM teachers create more culturally relevant and universally designed learning activities and environments. The project will convene focus groups to elicit training data for the AI chatbot, adopting a community-based participatory...
- This $380,000 federal Project Grant award from the National Science Foundation's (NSF) STEM Education program (CFDA 47.076) aims to develop intelligent industrial robots that provide personalized support for autistic employees in manufacturing and STEM work environments. The primary objectives are to: (1) co-create support approaches based on self-determination theory to address the fundamental psychological needs of autonomy, competence, and relatedness for autistic workers, and (2) enhance...
- This Project Grant award of $300,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a study at Georgetown University to develop an evaluation methodology for measuring the impacts of implementing large language model (LLM)-based tools to assist human experts working in federal, state, and local government programs. The project will compare the performance of LLM-only, human-only, and human-LLM hybrid responses across key metrics...
- This $414,995 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop personalized artificial intelligence (AI) systems that can tailor their responses to individual users based on their unique backgrounds and needs. Key objectives include: Gathering a diverse dataset to characterize the types of responses preferred by different people, particularly underrepresented groups. Using this data to...
- This $400,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The objective of the award is to leverage and evaluate large language models (LLMs) as "tools for thought" that can support creative, open-ended, and collaborative work across various applications such as scientific writing, text analysis, and design ideation. The key products and services to be developed and...
- This federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to study and improve how artificial intelligence (AI) chatbots evaluate job candidates. The $180,678 grant, awarded to William Marsh Rice University, will investigate how AI interview systems may unintentionally rely on irrelevant information, leading to inappropriate outcomes, and how people perceive the transparency and fairness of such AI-based hiring...
- This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop methods for creating personalized, safe Large Language Model (LLM)-based agents to assist job seekers, particularly those with autism. The $499,978 award to Georgia Tech Research Corp will analyze chatbot dialogue data and neurodivergent user profiles from an existing LLM-based job coaching platform. Insights from this analysis, combined with input from job seekers and coaches, will guide the development of job coaching guidelines, identify opportunities for strengths-based support, and address ethical risks associated with the use of LLMs. The ultimate goal is to increase employment prospects for individuals with autism and other neurodivergent populations by creating tailored LLM-based agents that effectively incorporate their unique strengths and needs.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/16/25 |