UniverCities is a new company founded in Eindhoven, Netherlands with a KvK number 66245931. It provides an autonomous on-line service in building and managing International Open Innovation 2.0 (IOI 2.0) for Urban and Regional planning. The service brings to the existing conventional model of city planning and management, a new tool which facilitates in the most cost-effective manner, the relevant use of big data available from publically open and proprietary data, in a combination with networked collective intelligence from urban and regional planning.
UniverCities will enable connected cities that provide intelligent, agile to climate, healthy and happy places, with economic prosperity, social balance and inclusiveness for all inhabitants.
UniverCities’ mission is by using cutting-edge technology to accelerate the emerging paradigm shift in urban & territorial planning, throughout innovating new linkages between science, society, industry/businesses and policy. This is achieved by creating International Open Innovation 2.0 which will connect cities’ (in/out) flows (goods, services, finance, people and data) in a virtual setting.
The business focus: The insights offered by our service are presented in a compatible format to be merged and/or combined with big data stabilized from ubiquitous and heterogeneous sensing, thus leading to better informed, valorized and evidence-based decision-making processes for planning strategies and design.
The service focus: The service is delivered via web based ICT platform that by the use of AI algorithms processes datasets and annotates data available from Urban (Data) Platforms.
How: The platform is focused on bringing intelligence in Smart Cities by building correlation and causal relationship of events in urban settings to assist urban decision-making processes, planning strategies and designs.
Why: The system is based on cutting-edge AI technology which uses artificial cognitive functions in reasoning, knowledge, planning, learning and problem solving techniques, to produce significant correlations and causal relationships to achieve evidence-based and constructive decisions, strategies and designs in urban and regional planning.