Leader: Navid Nobani (UNIMIB); Other contributors: Sandro Locati (Beta80)
We have been witnessing the increasing production of data, useful to support users and decision makers to support the decision process. This WP aims to collect, organise, and analyse both historical and real-time data to support policy and decision making about ageing and its consequences by contributing to:
- deliver data and indicators on individuals and families at a fine territorial level for the planning of services and the recovery of internal areas;
- use data and analytics to estimate the housing needs resulting from demographic transformations at the territorial level to support the identification of new housing needs;
- provide a working prototype to monitor the ageing phenomenon and the effectiveness of the identified policies through AI and Big Data Analytics techniques;
- put web data into official statistics to go towards trusted, smart statistics, and
- perform derived forecasts related to households, care needs, and labour force participation.
- Web-app for smart statistics and demographic forecasts at disposal of local policy makers, professionals and citizen (M30),
- Laymen summary of main findings (M34).