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Serious Games for Food Waste Reduction

Authors: França dos Santos, Ezequiel; Ribeiro, Claudia; Carvalho, Vítor;

Serious Games for Food Waste Reduction

Abstract

This doctoral project explores the potential of serious games to reduce household food waste, integrating behavioral change theory and digital sustainability. It proposes the development of an evidence-based digital game, applied to two demographically matched groups: members and non-members of the Fruta Feia cooperative. The research aims to contribute to scientific discussions on food policy, sustainability, and behavioral assessment methods, while aligning with the Sustainable Development Goals (SDGs 2, 12, 13 and 15).

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green