Managing complexity in cities with predictive digital twins

Cities experience that the complexity of decision making is increasing, leading to inefficient policy making. With an interactive predictive digital twin, cities are able to run a large number of scenario’s in real-time and allow them to assess the effects over multiple domains. The city of Amsterdam, with technical support and expertise by and TNO (the applied R&D organization of The Netherlands) has deployed a predictive twin with remarkable results.  

As an innovation partnership manager, Bart Vuijk is responsible for setting up strategic partnerships and projects at TNO. He is part of the Mobility & Built Environment Unit, department Liveable and Resilient Cities. With the TNO expert team he searches for collaboration and solutions for cities and companies, in the Netherlands and internationally. He is responsible for the global scaling up of Urban Strategy, the TNO predictive digital twin platform. Urban Strategy provides cities and companies with a revolutionary new instrument to tackle complex urban issues with extreme speeds. Bart previously worked at Siemens in telecommunications and traffic technology, both in the Netherlands and Canada, and obtained his master’s degree in electrical engineering from TU Delft.