Diggin Discussions with John Wibrand from Swegon on the topic ”How does AI innovation in the real estate industry differ from ordinary innovation?˝ The discussion also focuses on what we learn from each other. https://kth-se.zoom.us/j/62890318386
In this seminar, Professor Zhaoyang Dong from the City University of Hong Kong discusses cyber-attacks on smart grids – including supply chain compromises and false data injection. He will present blockchain-enabled solutions and real-world risk mitigation examples. Cyber-attacks—including supply chain compromises and false data injection—pose a critical threat to smart grids, targeting components, services, and […]
Photo: Toronto Metropolitan University.
Welcome to the Dig-IT Lab international online summer school. This extensive learning package provides an interdisciplinary introduction to the digitalisation of the built environment, addressing technical, societal, ethical, and business dimensions.
The ZEB Laboratory is an office living lab and national research infrastructure for studying building performance under real operating conditions. This seminar introduces the laboratory and presents its energy and indoor environmental performance based on ongoing monitoring and performance follow-up. Examples of research activities will show how monitoring data, experiments and control strategies are used […]
What does it take to turn building data into meaningful innovation? As artificial intelligence becomes increasingly accessible, the limiting factor is often no longer the AI itself, but access to high-quality data, semantic context, documentation, and industry expertise. In this session, Schneider Electric and FrostLogic share the story of how an ecosystem partnership transformed open […]
Dig-IT Lab is a competence centre, jointly founded by Vinnova, KTH and industry, aiming at reducing the environmental impact of buildings through digitalisation. We promote collaboration with academia, industry, and related research centres worldwide to accelerate the transformation of data collected from buildings into tangible impact.
Dig-IT Lab 2024