Approach & Solution
Policy choices guided by a biased view of the context risk to generate unexpected consequences. On a regional scale, in the medium to long term, inaccurate management of local development policies can generate consequences on health, environment and social system.
The increase in size and the diversity and complexity of data generated by the urban context require a paradigm shift in the way interdependencies between service infrastructures are studied, analysed and managed.
The project enables participatory knowledge production processes to create an efficient link between science, society and policy makers allowing the members of society to play an active role in research, innovation and evidence-informed policy development.
Engineering is the co-ordinator of the project and develops the digital twin's tools. The project has received funding from PO Puglia FESR 2014-2020-art. 17 del Regolamento del 30.09.2014 – Titolo II Capo 2
Data analysis and correlation tools and models
Activating and support new governance models
Creating participatory territorial knowledge
Planning and simulating actions in a conscious and planned manner
Supporting evidence-informed decision making processes
AI Advanced Analytics
Research & Innovation