Architecture and Technology in Contested Terrain: An Application of Machine Learning in Interactive Spaces
(2018) AAHM01 20181Department of Architecture and Built Environment
- Abstract
- This thesis investigates the potential application of Machine Learning in architecture to help mitigate contested terrain.
The process is defined by research and insights retrieved from it. The initial analysis includes a historic overview of Mostar, as well as a status analysis of the current socio-political climate in the town, after which a brief introduction of Machine Learning lays the groundwork for the potential application in architecture, in order to achieve the objective of mitigating contested terrain.
The final result is a design project in the shape of a Center for Contemporary Art that hosts an exhibition space that, with the help of Machine Learning, aims to take people out of their filter bubbles by exposing them to... (More) - This thesis investigates the potential application of Machine Learning in architecture to help mitigate contested terrain.
The process is defined by research and insights retrieved from it. The initial analysis includes a historic overview of Mostar, as well as a status analysis of the current socio-political climate in the town, after which a brief introduction of Machine Learning lays the groundwork for the potential application in architecture, in order to achieve the objective of mitigating contested terrain.
The final result is a design project in the shape of a Center for Contemporary Art that hosts an exhibition space that, with the help of Machine Learning, aims to take people out of their filter bubbles by exposing them to art/messages that they would not have been inclined to take part of on their own. (Less) - Popular Abstract
- This thesis investigates the potential application of Machine Learning in architecture to help mitigate contested terrain.
The process is defined by research and insights retrieved from it. The initial analysis includes a historic overview of Mostar, as well as a status analysis of the current socio-political climate in the town, after which a brief introduction of Machine Learning lays the groundwork for the potential application in architecture, in order to achieve the objective of mitigating contested terrain.
The final result is a design project in the shape of a Center for Contemporary Art that hosts an exhibition space that, with the help of Machine Learning, aims to take people out of their filter bubbles by exposing them to... (More) - This thesis investigates the potential application of Machine Learning in architecture to help mitigate contested terrain.
The process is defined by research and insights retrieved from it. The initial analysis includes a historic overview of Mostar, as well as a status analysis of the current socio-political climate in the town, after which a brief introduction of Machine Learning lays the groundwork for the potential application in architecture, in order to achieve the objective of mitigating contested terrain.
The final result is a design project in the shape of a Center for Contemporary Art that hosts an exhibition space that, with the help of Machine Learning, aims to take people out of their filter bubbles by exposing them to art/messages that they would not have been inclined to take part of on their own. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8992398
- author
- Logo, Malka LU
- supervisor
- organization
- course
- AAHM01 20181
- year
- 2018
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- Architecture, Artificial Intelligence, Machine Learning
- language
- English
- id
- 8992398
- date added to LUP
- 2019-08-27 09:18:17
- date last changed
- 2019-08-27 09:18:17
@misc{8992398,
abstract = {{This thesis investigates the potential application of Machine Learning in architecture to help mitigate contested terrain.
The process is defined by research and insights retrieved from it. The initial analysis includes a historic overview of Mostar, as well as a status analysis of the current socio-political climate in the town, after which a brief introduction of Machine Learning lays the groundwork for the potential application in architecture, in order to achieve the objective of mitigating contested terrain.
The final result is a design project in the shape of a Center for Contemporary Art that hosts an exhibition space that, with the help of Machine Learning, aims to take people out of their filter bubbles by exposing them to art/messages that they would not have been inclined to take part of on their own.}},
author = {{Logo, Malka}},
language = {{eng}},
note = {{Student Paper}},
title = {{Architecture and Technology in Contested Terrain: An Application of Machine Learning in Interactive Spaces}},
year = {{2018}},
}