Architecture and Technology in Contested Terrain: An Application of Machine Learning in Interactive Spaces
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 ground
