Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row
This paper investigates the application of machine learning in urban and architectural education, with a focus on addressing homelessness in Skid Row, Los Angeles. It presents a case study of an urban design studio utilizing data-driven methods to propose transitional housing solutions, emphasizing...
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Format: | Article |
Language: | English |
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MDPI AG
2024-02-01
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Series: | Architecture |
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Online Access: | https://www.mdpi.com/2673-8945/4/1/8 |
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author | Taraneh Meshkani |
author_facet | Taraneh Meshkani |
author_sort | Taraneh Meshkani |
collection | DOAJ |
description | This paper investigates the application of machine learning in urban and architectural education, with a focus on addressing homelessness in Skid Row, Los Angeles. It presents a case study of an urban design studio utilizing data-driven methods to propose transitional housing solutions, emphasizing the importance of design in the context of social justice. The study explores the use of machine learning and digital cartography for a detailed analysis of Skid Row’s dense homeless population, offering students a thorough insight into urban challenges. The research also identifies the complexities involved in integrating these technologies into educational frameworks, including issues with data accuracy, technical hurdles, and ethical considerations. The paper concludes by advocating for an interdisciplinary, data-informed, and socially conscious approach in architectural and urban design education, highlighting its necessity in preparing students to effectively tackle contemporary urban problems. |
first_indexed | 2024-04-24T18:34:10Z |
format | Article |
id | doaj.art-309c7f93dafe4881ac1878d1d5338e04 |
institution | Directory Open Access Journal |
issn | 2673-8945 |
language | English |
last_indexed | 2024-04-24T18:34:10Z |
publishDate | 2024-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Architecture |
spelling | doaj.art-309c7f93dafe4881ac1878d1d5338e042024-03-27T13:20:26ZengMDPI AGArchitecture2673-89452024-02-014111212310.3390/architecture4010008Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid RowTaraneh Meshkani0College of Architecture and Environmental Design, Kent State University, Kent, OH 44240, USAThis paper investigates the application of machine learning in urban and architectural education, with a focus on addressing homelessness in Skid Row, Los Angeles. It presents a case study of an urban design studio utilizing data-driven methods to propose transitional housing solutions, emphasizing the importance of design in the context of social justice. The study explores the use of machine learning and digital cartography for a detailed analysis of Skid Row’s dense homeless population, offering students a thorough insight into urban challenges. The research also identifies the complexities involved in integrating these technologies into educational frameworks, including issues with data accuracy, technical hurdles, and ethical considerations. The paper concludes by advocating for an interdisciplinary, data-informed, and socially conscious approach in architectural and urban design education, highlighting its necessity in preparing students to effectively tackle contemporary urban problems.https://www.mdpi.com/2673-8945/4/1/8machine learningurban designarchitecturepedagogyhomelessnessSkid Row |
spellingShingle | Taraneh Meshkani Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row Architecture machine learning urban design architecture pedagogy homelessness Skid Row |
title | Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row |
title_full | Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row |
title_fullStr | Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row |
title_full_unstemmed | Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row |
title_short | Integrating Machine Learning in Urban Pedagogy: Addressing Homelessness in Skid Row |
title_sort | integrating machine learning in urban pedagogy addressing homelessness in skid row |
topic | machine learning urban design architecture pedagogy homelessness Skid Row |
url | https://www.mdpi.com/2673-8945/4/1/8 |
work_keys_str_mv | AT taranehmeshkani integratingmachinelearninginurbanpedagogyaddressinghomelessnessinskidrow |