Systematic experimentation and testing – how to pilot without pilot disease

Martin Brynskov will give examples on how the last decade of large-scale pilots of Internet of Things (IoT) and data-driven services have evolved our thinking about how to best bridge the gap from research to society. The focus is on building capacity for systematic experimentation, embedded in a trusted ecosystem of buyers, suppliers and regulators. This capacity to facilitate smart communities is central to a future where our societies rely more and more on decentralized and cross-sectorial service provisioning. Actually, like in the old days, with the same arguments: It’s safer, more resilient, and it can be based on local priorities.

 Martin Brynskov

Martin Brynskov, PhD, Senior Researcher at Technical University of Denmark (DTU) where he leads a portfolio of Smart Communities efforts focusing on interoperability in the context of data spaces and local digital twins.

Based in the Section for Dynamical Systems at DTU Compute, he leads, the European Testing and Experimentation Facility for AI and Robotics for Smart Cities and Communities, the European Data Space for Smart and Sustainable Cities and Communities, CommuniCity, which runs 100 AI pilots to learn with minorities and hard-to-reach communities, and is engaged in New European Bauhaus lighthouse project DESIRE – Designing the Irresistable Circular Society as lead of communication and engagement, the EU Mission on Climate-Neutral and Smart Cities as part of the NetZeroCities support platform, and the Preparatory actions of the AI-on-Demand Platform (Pre-PAI).