Knowledge Discovery in Architecture
Coordinator: Milica Vujovic
Chair: Asst. Prof. Dr. Milica Vujovic, TU Wien
Co-chair: Prof. Dr. Michael U. Hensel, TU Wien
Scientific Focus of the Group
The proposed SIG focuses on complex design and planning problems in architecture and spatial planning. Emphasis is placed on multi-domain and multiscale planning and design problems and the role of AI and ML in enabling data-driven knowledge discovery and decision support. An evidence-based approach aims to support the effectiveness of decision-making in design by creating models and interpreting the built environment using data (Figure 1). The SIG aims to create a framework where decision-making in architectural and spatial design of various scales are supported by AI and ML.
Latest Activities
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CAIML Symposium: “AI-supported Architecture: Shaping Spaces for Health, Education, and Sustainability in Vienna”. The symposium brought together local and international experts in architecture and artificial intelligence to explore the transformative potential of AI in architectural design, with a focus on sustainability. Organized in collaboration with Emanuel Sallinger (SIG Knowledge Graphs). A follow-up round table discussion is currently underway, with outcomes to be reported.
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Participant in the CAIML Doctoral College
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Member of the Initiation Board for the Doctoral College in Computational Sustainability, alongside CAIML members Ivona Brandic and Ezio Bartocci. The college is funded by TU Wien and organized in collaboration with JKU Linz, bringing together an interdisciplinary network of researchers across computer science, engineering, and sustainability.
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Symposium “AE8 - 8th International Architecture and Environment Symposium Decision Support in Urban Social-Ecological Systems.” that took place on February 2nd and 3rd 2023
