HSI Summit Pt. 1 - A Cal to Action + AI Education
Session: Overcoming Administrative Barriers
Length: 1 hr 0 min 36 sec
Moderator: Dr. Enrico Pontelli, Dean, College of Arts and Sciences, New Mexico State University
Panelists: Dr. Ann Gates, Vice Provost for Faculty Affairs, University of Texas-El Paso, Lead CAHSI; Dr. Naoki Saito, Director, UC Davis TETRAPODS Institute of Data Science, UC Davis; Dr. Anne-Marie Nuñez, Professor, Department Educational Studies, The Ohio State University
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This is the video recording of part one of a two-part summit series focused on growing undergraduate education in two areas of national concern--artificial intelligence (AI) and quantum information sciences (QIS)--at Hispanic Serving Institutions (HSIs). The first part, titled Called to Action + AI Education, was held on June 21, 2021. It introduced the aim of the conference series and brought together
educators, scholars, and industry leaders from the field of AI to
discuss teaching, faculty development, and institutional barriers within
the field. The second part, to be held in early 2022, will center QIS and feature related panels
on pedagogy and workforce development.
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Funded by the Improving Undergraduate STEM Education:
Hispanic-Serving Institutions (HSI Program) and the Division of Graduate
Education (EHR Award No. 2042655), this conference project
aims to bring together professors, senior university officials,
industry experts, and government sponsors, to explore ways to accelerate
research in AI and QIS, and introduce learning activities in AI and QIS early in
the education of students at Hispanic-Serving Institutions (HSIs).
Data science (DS), AI, and QIS will have long term and
cross-cutting influence on future technologies, education, the
workforce, and our lives. HSIs are colleges and universities with more
than 25% Hispanic student enrollment, educating more than two-thirds of
America’s Hispanic students. Connecting faculty and senior leadership at
HSIs, and minority-serving institutions in general, to the networks and
resources to support national needs, is expected to increase the number
of underrepresented science and engineering students who will
contribute to the future STEM workforce. The expected outcomes of this
conference will be roadmaps that define pressing research questions and
create educational initiatives in AI and QIS for the institutions in
attendance.
