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Deep Learning for Safer School Infrastructure: An Interdisciplinary and Cross-organizational Collaboration

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Architectural Engineering Division Technical Session 2

Tagged Division

Architectural Engineering

Page Count

28

DOI

10.18260/1-2--36897

Permanent URL

https://peer.asee.org/36897

Download Count

253

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Paper Authors

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Sydney Nguyen California Polytechnic State University, San Luis Obispo

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Sydney is a research assistant of Cal Poly San Luis Obispo with degrees in Architecture and Ethnic Studies, concentrating on Sustainable Environments. Her academic research explores the intersections of design, technology, digital innovation, and community engagement. She has received 30 Under 30 Cal Poly's Most Influential Women and Thesis Research Award Recipient.

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Gabriel Medina-Kim Rensselaer Polytechnic Institute Orcid 16x16 orcid.org/0000-0002-0282-288X

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Gabriel Medina-Kim is a PhD student studying the intersections of computing and feminist & anti-racist STS in the program of Science and Technology Studies at Rensselaer Polytechnic Institute. His research interests center critical participation, good intentions, and imagining anti-oppressive futures in computing by mobilizing cultural and sociotechnical systems lenses using anti-racist, feminist, and decolonial thinking. His research extends his undergraduate training, teaching, and research assistantships at California Polytechnic State University in San Luis Obispo, where he received a B.S. in Computer Science. Currently, Medina-Kim researches how undergraduate students negotiate commitments to social justice throughout their participation in co-curricular humanitarian engineering projects.

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Franz J. Kurfess California Polytechnic State University, San Luis Obispo Orcid 16x16 orcid.org/0000-0003-1418-7198

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Franz J. Kurfess is a professor in the Computer Science and Software Engineering Department, California Polytechnic State University, San Luis Obispo, where he teaches mostly courses in Artificial Intelligence, Human-Computer Interaction, and User-Centered Design. Before joining Cal Poly, he was with Concordia University in Montreal, Canada, the New Jersey Institute of Technology, the University of Ulm, Germany, the International Computer Science Institute in Berkeley, CA, and the Technical University in Munich, where he obtained his M.S. and Ph.D. in Computer Science.

His main areas of research are Artificial Intelligence and Human-Computer Interaction, with particular interest in the intersection of the two fields.

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Elise St. John California Polytechnic State University, San Luis Obispo

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Dr. St. John specializes in applied, mixed-methods research, and has extensive experience with interdisciplinary collaborations within and across education, non-profit, government and intergovernmental organizations. Her research agenda focuses on the political and organizational dynamics of educational reform, particularly with regard to issues of equity. She earned a Ph.D. in Educational Policy, Organizations and Leadership from the University of Washington. Her dissertation won the 2015 Outstanding Dissertation Award from the Mixed Methods Research group of the American Educational Research Association (AERA).

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Jingzhe Wu The World Bank

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Jingzhe Wu is a consultant in the unit of Urban, Disaster Risk Management, Resilience and Land at the World Bank. She received her Ph.D. degree in Civil Engineering from the University of Maryland College Park, and her M.S. degree in Civil Engineering from Iowa State University. She obtained her B.S. degree from Hefei University of Technology, China. Her work focuses on disaster risk management, with research interests on disaster risk assessment, prioritization and reduction, machine learning, artificial intelligence and data analytics.

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Gudrun Socher Hochschule München University of Applied Sciences Orcid 16x16 orcid.org/0000-0001-7211-7724

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Since 2006 professor at Hochschule München University of Applied Sciences in Munich (Germany) with a focus on software engineering and human-computer interaction. Prior to that software developer at tech companies including Yahoo! Inc. PhD from Bielefeld University (Germany) with doctoral research at the California Institute of Technology, graduated in computer science from Karlsruhe University (Germany) and Grenoble University (France).

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Anurag Uppuluri California Polytechnic State University, San Luis Obispo Orcid 16x16 orcid.org/0000-0003-4841-5048

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Computer Science Master's student working on helping to contribute to advancing the state-of-the-art of Deep Learning and Computer Vision, and looking for related opportunities after graduation.

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Angie Paola Garcia Arevalo The World Bank

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Angie Paola Garcia is a consultant for the Global Program for Safer Schools from The World Bank. In 2015, she received her bachelor's degree in civil engineering and in 2017 her Master’s degree in Structural Engineering from Universidad de los Andes in Colombia. Angie has supported country engagements at the World Bank in East and Central Asia, and Africa to address disaster risk mitigation in school infrastructure.

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Erin Sheets California Polytechnic State University, San Luis Obispo

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I’m an experience designer currently teaching human-centered design and human-computer interaction at Cal Poly in San Luis Obispo.

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Abstract

Interdisciplinary and cross-organizational collaborations can be educationally transformative. As part of such partnerships, students are expected to work innovatively across disciplinary boundaries, bringing their diverse perspectives to bear on complex, real-world problems. In this paper, we explore the outcomes of such a collaborative effort among teams of university students and the World Bank to develop a technical solution to the long-standing problem of identifying the most vulnerable school building infrastructures in hard-to-reach areas of developing countries. Worldwide, natural disasters like earthquakes and cyclones put more than a million school buildings at risk of collapse, and an estimated 875 million children and teachers at risk of harm. Together with the Global Program for Safer Schools of the World Bank, the student teams worked across classrooms and disciplines to design a tool that can save time and money in determining the structural type of school buildings to assess their vulnerability. Under this collaboration, students felt empowered working on such a highly impactful international development project involving real-world challenges, and considered it a transformative learning experience.

Nguyen, S., & Medina-Kim, G., & Kurfess, F. J., & St. John, E., & Wu, J., & Socher, G., & Uppuluri, A., & Garcia Arevalo, A. P., & Sheets, E. (2021, July), Deep Learning for Safer School Infrastructure: An Interdisciplinary and Cross-organizational Collaboration Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. 10.18260/1-2--36897

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