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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Main Author: Taraneh Meshkani
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Architecture
Subjects:
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.
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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