Chair: Asst. Prof. Dr. Milica Vujovic, TU Wien
Co-chair: Prof. Dr. Michael U. Hensel, TU Wien

Scientific Focus of the Group

This Special Interest Group examines the topic of knowledge discovery in the context of complex design and sustainability challenges in architecture and planning, involving critical environmental aspects. The focus is on multi-domain and multi-scale planning and design problems, and on the role that Artificial Intelligence and Machine Learning can play in enabling data-driven knowledge discovery and decision support.

An evidence-based and systems-oriented approach underpins effective decision-making in design by creating models of, and interpreting, the built environment using data (Figure 1). In this context, the SIG develops a framework for AI-aided knowledge discovery and decision support, together with data-driven planning and design workflows that operate across spatio-temporal scales.

Latest Activities

• 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.

• Participant in the CAIML Doctoral College

• 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.

• Symposium “AE8 - 8th International Architecture and Environment Symposium Decision Support in Urban Social-Ecological Systems.” that took place on February 2nd and 3rd 2023

Activities

Board Members