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Creators/Authors contains: "Port, Daniel"

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  1. ; ; ; ; (, nternational Joint Conference on Neural Networks)
    There has been an explosion of growth in using AI, data science, and machine learning in all aspects of our daily life. There is a global competition among governments, industry, and academic institutions to lead research and development in this area. This paper discusses a novel multidisciplinary graduate education and research program at our institution to help develop a trained workforce to meet the demands required to understand and develop AI, data science and machine learning technologies. The program brings together faculty and students in engineering, computer science, and social science to build a traineeship program where cohort teams study fundamental and applied data science research, using compact modules across courses to personalize instruction and prepare each trainee with skills tailored to their prior experience and future career goals. 
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    Free, publicly-accessible full text available July 7, 2026