HSI Summit Pt. 2 - Quantum Information Sciences
Session: QIS Faculty Development Panel
Length: 1 hr 3 min 11 sec
Moderator: Dr. Timothy A. Akers, Vice Present for Research Innovation and Advocacy, Morgan State University and PI, National Quantum Literacy Network
Panelists: Dr. Sophia Economou, Professor, Department of Physics, Virginia Tech; Dr. Christopher Gutiérrez, Assistant Professor, Physics and Astronomy, University of California, Los Angeles; Dr. Greg Kuperberg, Professor, Department of Mathematics, University of California, Davis
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This is
the video recording of part two of the HSI Strategic Innovation Summit
Series for Advanced Research and Instruction in Artificial Intelligence
and Quantum Information Sciences. The series is 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 second part, devoted to Quantum
Information Sciences, was held on April 26, 2022. 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.
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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.
