Periodic Reporting for period 1 - CHORIZO (Changing practices and Habits through Open, Responsible, and social Innovation towards ZerΟ fοod waste)
Berichtszeitraum: 2022-10-01 bis 2024-03-31
To fight food waste (FW), more knowledge and action is needed on behavioural aspects influencing FLW generation. The CHORIZO project aims CHORIZO aims to improve the understanding of how social norms influence behaviour and FLW generation in different contexts and use this knowledge to improve the effectiveness of decision-making and engagement of food chain actors, towards zero food waste. Based on investigating previous FLW initiatives as well as on newly generated case study data, data is gathered and new evidence and insights is provided open access through a datahub. Innovative conceptual framework and modelling techniques are used for analysing results and creating new knowledge in this domain. The findings and their implicaitons are translated into guidelines and guidance for specific actor groups and will be (1) communicated and disseminated through various channels to reach all relevant food system stakeholders and (2) upscaled whereever of societal/business/industry/scientific value.
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. The CHORIZO project started with undertaking an evidence based analysis on previous and ongoing FLW interventions across different food supply chain sectors, to learn from previous work and inform and guide relevant food system actors in tackling food waste in an efficient, sustainable way. Subsequently, new evidence was generated through six own case studies, for which the findings are openly available in the CHORIZO insighter, an open access Datahub. An initial strategy for the post-project sustainance of this datahub has been initiated and will be further defined during the next period to improve the project outputs' innovation upscaling. Many C&D activities have already ensured that the project has become publicly visible, as well as several key findings and results that have been finalized during period 1.
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.
CHORIZO goes beyond the state of the art by supporting decision-making via a datahub with easily accessible, prioritised in terms of their relevance, and continuously updated evidence on FLW performance, which integrates the results and implementation characteristics of previous FLW actions and newly generated data under a common structure and includes an FLW composite index to guide food actors in prioritising actions that fit their context. CHORIZO goes beyond the state of the art by integrating previous empirical data with research on social norms and consumer & corporate behaviour in a comparative manner that acknowledges contextual influences, to provide clarity on the levers of behavioural change towards FLW reduction in relevant settings. CHORIZO goes beyond the state of the art by embedding more realistic socio-cognitive representations of different food chain actors in its FLW models through implementing: (i) social norms and other non-financial motives affecting company decisions; (ii) the interactions among food chain actors (including consumers, corporate entities, nonprofits and policy-makers), their direct & indirect influences and the evolution of these interactions and influences over time; (iii) uncertainty and bounded rationality in decision-making processes.
(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.
CHORIZO goes beyond the state of the art by supporting decision-making via a datahub with easily accessible, prioritised in terms of their relevance, and continuously updated evidence on FLW performance, which integrates the results and implementation characteristics of previous FLW actions and newly generated data under a common structure and includes an FLW composite index to guide food actors in prioritising actions that fit their context. CHORIZO goes beyond the state of the art by integrating previous empirical data with research on social norms and consumer & corporate behaviour in a comparative manner that acknowledges contextual influences, to provide clarity on the levers of behavioural change towards FLW reduction in relevant settings. CHORIZO goes beyond the state of the art by embedding more realistic socio-cognitive representations of different food chain actors in its FLW models through implementing: (i) social norms and other non-financial motives affecting company decisions; (ii) the interactions among food chain actors (including consumers, corporate entities, nonprofits and policy-makers), their direct & indirect influences and the evolution of these interactions and influences over time; (iii) uncertainty and bounded rationality in decision-making processes.