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FAIR4WISE

FAIR4WISE: Future AI and Robotics for Women in Smart Engineering

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Increasing Inclusivity in Construction Through Technology

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Inclusive Robotic Teleoperation

Teleoperation could enable safe and remote work away from hazardous construction sites but may result in significant productivity decline by 40%. Women teleoperation workers can be disproportionally affected because the design and development of the teleoperation interface has never considered the gender-related worker characteristics. We will develop a “gender-diverse” teleoperation interface, meaning it adapts to the cognitive and ergonomic preference of different women and men workers to substantially improve robot control productivity, thereby achieving inclusive and adaptive teleoperation. 

Robot Federated Learning 

Existing construction robots are unable to learn how to better collaborate with women teleoperation workers because of lacking data describing the interactions among robots and the 2.3% women workers in this occupation. Our robotic intelligence is fueled by federated learning (FL) that aggregates sparse data related to women workers across the industry with privacy guarantees to train the “gender-diverse” robots, and thus mitigate the biased data and unbalanced usage in the male-dominated construction industry.  

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Blockchain Certification

The gender stereotype has unfairly position women in career development and performance evaluation. We will utilize blockchain technology and integrate with the robot teleoperation to automatically and accurately certify the work performance, and consistently tracing workers’ competence regardless of gender, race, ethnicity, age, and disability, and therefore promoting person-job fit and equal career development opportunities, and addressing the long-standing bias and untrust in women workers from the gender stereotype.  

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Learning-Adaptive Platform for STEM and Workforce Training  

Considering women learning characteristics, future technologies, and future work designs, we will develop a virtual reality (VR) based platform to connect STEM students, adult learners, and practitioners to transform the current paradigms of learning, training, recruiting, retaining, and reskilling.  

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This project has been made possible by National Science Foundation Funding

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