Objective
Compared to meals prepared at home, meals eaten out tend to contain more calories, total fat and saturated fat and it is here where the consumer has very little control or knowledge of the nutrient profile of the food they are eating (Bohm and Quartuccio, 2008). The positive association between the rise in consumption of food prepared outside the home and the increasing prevalence of obesity has been described as a major health and wellbeing societal challenge. Attempts to increase public awareness of appropriate ways to eat more healthily unfortunately do not seem to have led to significant changes in patterns of food purchase and consumption especially from an eating ‘out-of-home’ situation. It has become obvious that the development of effective measures for improvement requires further systematic research and a radical approach. The aim of FoodSMART is to develop an innovative technical (ICT) menu solution that enables informed consumer choice when eating out that takes into account individual characteristics (such as culture, dietary requirements and age group) as well as product (specification) and environmental cues (choice architecture and consumption setting).
This aim will be achieved through the evaluation of consumer orientated intelligence (what information consumers require/trust i.e. information quality); the assessment of industry orientated intelligence (impact of customisation) and the subsequent development of data analytics and Quick Recognition (QR) coding for personalised food recommendation; thereby, facilitating the consumption of healthy and appropriate dishes. Results will be gathered and modelled to provide strategic intelligence for menu design and decision-making (by Industry) and for policy purposes (by the EU); further, this translational research will be disseminated both at scientific and consumer levels. Increasing the pace and scale of innovation within out-of-home eating is fundamental to this proposal.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences public health
- social sciences economics and business economics microeconomics
- natural sciences computer and information sciences data science data mining
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
- natural sciences computer and information sciences databases relational databases
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-RISE-2014
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
BH12 5BB POOLE
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.