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International projects source: SICRIS

Changing practices and Habits through Open, Responsible, and social Innovation towards ZerΟ fοod waste

Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  3906  ITC - Inovacijsko tehnološki grozd Murska Sobota (Slovene)  Murska Sobota  6028896000  153 
Abstract
CHORIZO aims to improve the understanding of how social norms (rules or expectations that are socially enforced) influence behaviour related to FLW generation. To significantly accelerate progress towards zero food waste, CHORIZO aims to use this knowledge to increase the effectiveness of decision-making and engagement of food chain actors, in changing social norms towards zero food waste. To achieve its aim, the project will provide evidence on the role of existing social norms in actors’ FLW behaviours through translating results from previous FLW actions into evidence and generate new evidence on social norms & FLW behaviours. Second, CHORIZO will embed these research results into innovation products that can foster change of FLW-related social norms. These products include more effective (sector-based) guidance, communication & science education packages and capacity building actions. CHORIZO employs real-life Case Studies (CSs) to serve its three interlinked purposes: (i) to provide information and data on the context and impact of previous FLW prevention/reduction actions undertaken by the Case Study members, thus enriching the evidence-based analysis on previous FLW actions; (ii) to generate new evidence on the interaction between social norms, behaviour and food waste, to feed into the project’s FW models and innovation products; (iii) to validate the communication & science education packages of the project. Moreover, on the technical side, CHORIZO will utilise advanced modelling techniques to produce solutions that integrate behavioural and economic theories and integrate gender and intersectional analysis to interpret social norm and behavioural data and to effectively engineer innovation processes and outputs.
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