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.
![Figure 1: Block diagram of connecting different key topics and methods](/special-interest-groups/knowledge-discovery-in-architecture/sig-knowledge-discovery-in-architecture-3_hu869431e9729412919068decd646fd870_107717_770x550_fill_q80_bgffffff_lanczos_smart1_3.jpg)