For two days and a night (36 hours non-stop), 17 teams (70 people in all) from the public sector and with volunteer staff from Family Allowances Fund Offices worked on (open) data made available by the Family Allowances Fund to discover how this data could be used for the benefit of the public.

This collective intelligence exercise, which was carried out non-stop under time constraints, delivered high-quality results and met a wide variety of objectives.

• inform users about waiting times at Family Allowances Fund (Caisse des allocations familiales (CAF)) counters and propose group appointments;
   
• put family benefit recipients in touch with each other, in keeping with the principles of collaborative economics;
   
• map territories to better identify community project needs;
   
• measure the environmental impact of remote procedures to encourage users to submit their applications on-line;
   
• evaluate reception quality of newborns throughout towns and cities in France.

Certain particularly useful projects were supported by the National Family Allowances Fund (Caisse nationale des allocations familiales - CNAF) and developed in the context of a business incubator.