This three-year, $1,040,161 project grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities aims to develop an AI-driven learning platform to enable workforce participation among construction workers with neurodiversity, such as attention-deficit/hyperactivity disorder (ADHD). Specifically, the awardee, Purdue University, will build capabilities for distributing AI teammates in construction workplaces to support employment opportunities and safety outcomes for diverse workers.
The project also examines intended and unintended consequences of human-AI teaming in construction. A multidisciplinary team from Purdue University and sub-awardee George Mason University will integrate expertise in civil engineering, computer science, psychology, industrial engineering, and public policy to address questions around risk-taking behavior, barriers to technology adoption, and socioeconomic impacts of improved job access for ADHD-diagnosed workers through human-AI partnerships. Ultimately, the research under this NSF Engineering grant (CFDA #47.041) seeks to demonstrate how human-machine teams can augment human capabilities across industry sectors to the benefit of workers and society.
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