To develop an FLW Datahub (Chorizo FLW Insighter),
which will incorporate the results of the evidence-based
analysis of previous/ongoing
FLW actions, new empirical case study evidence on social norms,
consumer behaviour, economic actor behaviour and charity
behaviour in relation to FLW.

To develop a modelling &
predictive analytics backbone
based on data from the CSs, and
use it to discover and explain
the correlations between social norms,
business practices, consumer behaviour
and food waste.

To foster change in
social norms and behaviours,
by embedding the new evidence
and understanding gained on
FLW-related social norms
and behaviours.

To manage the project’s
innovation upscaling effectively,
by a strategy for the exploitation
of the project results and
implementing responsible innovation
management practices that guide
the project to exploitable and
sustainable outcomes.

To undertake appropriate
dissemination, exploitation
and communication actions
to maximise the project’s
impact outside the consortium.