About MS-Nutrition

Varied missions

We consume food, yet each person needs a variety of nutrients.
Our “quantitative” approach, based on Modeling and Statistics, allows us to translate these nutritional needs into food choices, integrating all environmental, economic, and cultural dimensions.

We specifically work in areas such as the development of scoring systems (at the level of food items, menus, or individual eating habits), analyzing the determinants of eating behaviors, compiling data on nutrition, and simulating dietary patterns.

Evaluation of the nutritional quality of foods and menus

We assess the nutritional quality of the offer (foods, menus) through the use and development of specific indices. While historically these indices focused heavily on the nutritional aspects of food, we are now able to integrate new dimensions (such as environmental factors). These efforts help consumers make informed choices.

Analysis of eating habits

Our statistical methods are used to analyze the eating habits of a given population. We are able to identify dietary trends, assess the risks of nutritional deficiencies, and understand the determinants of food preferences. This information, for example, helps design tailored public health programs.

Exploring the different dimensions of food sustainability

Our analyses allow us to combine data from various sources to assess the sustainability of food, understand the relationships between nutritional/health, socio-economic, and environmental dimensions, and identify more sustainable dietary patterns.

Simulation and optimization of dietary patterns

Models can be used to optimize dietary patterns, considering various objectives such as meeting nutritional needs, minimizing costs, or reducing the environmental impacts associated with food production.

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