SOURCE-LINKED INTELLIGENCE

TealHelix: Building Resilience Through Inclusive and Personalized Food Labeling

CORDIS · observation · Publication date unknown

ciences, as well as in communication, retailing, and standard-setting industries. The project will generate multiple novel methods to study labeling approaches and original empirical evidence through machine learning-based 'big data' analysis, large-scale surveys, experience-sampling and micro-level experiments. Finally, we will integrate the findings into digital social innovations powered by AI tools to support labeling solutions. As a result, we will provide a deeper understanding of how various external environments shape attitudes and beliefs towards food sustainability labeling, how to motivate consumers to follow sustainable labeling guidelines, and how to include the ones who are in greatest need. Personalized Food Labeling, Food Sustainability Labeling

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recordType

award

status

SIGNED

region

EU

value

6500000

unit

EUR