Advisor
Christof Teuscher, Portland State University
Document Type
Conference Proceeding
Publication Date
9-2024
Subjects
Machine learning, Computer science, Computation laboratories, Artificial intelligence
Abstract
How will computation evolve in the coming years? What problems can be tackled using artificial intelligence, in a world increasingly driven by data? And how can that data be used to better inform our decisions as a society? In this unique collection of research projects, each chapter represents a distinct work undertaken by a single individual or a group of students as part of the altREU program led by Christof Teuscher. The projects, rooted in applications of artificial intelligence and innovative computation techniques, examine impactful solutions to numerous pressing challenges affecting communities around the world.
Rights
© 2024, Portland State University, Teuscher Lab. All rights reserved.
Re-posted with permission.
Persistent Identifier
https://archives.pdx.edu/ds/psu/42556
Citation Details
Teuscher Group; Teuscher, Christof; Ogbede, Chelsea; Sanday, Lauren; Vargas, Sofia; and Arefev, Artem, "2024 Summer Proceedings Teuscher Lab" (2024). altREU Projects. 17.
https://archives.pdx.edu/ds/psu/42556
Description
The focus area of our Research Experiences for Undergraduates (REU) site is computational modeling to serve and enhance the Portland metropolitan region as it grows and evolves. Students will be involved in cutting-edge, multi-disciplinary research projects and trained in computational thinking across different disciplines and communities. In doing so, they will gain an understanding of the potential and limits of these tools and how they can serve diverse urban communities. Portland State University (PSU), with its newly-funded Portland Institute for Computational Science (PICS), has developed a reputation as a national model for urban universities that enhance their region by working with partners to solve problems. The activities of our REU site will involve a 2-week training to teach students the foundations of computational modeling, followed by an 8-week research project completed in a research lab under a mentor’s guidance and with the involvement of a community partner. The community-oriented aspect is aligned with PSU’s motto “Let knowledge serve the city."