At SASE we leverage model-based approaches and digital innovations to drive food systems towards sustainability & resilience
Some of our model based approaches include
We apply scenario design analysis and system thinking approaches to construct potential future food systems. In this we enable decision explore possible food system futures and design policies to build resilience
Here, we employ multi-criteria decision making tools to support decision making in the context of clustered criteria which confound stakeholders within the food system
We apply machine learning models to explore the future of food systems using present and historical datasets from existing national and global datasets
We adopt digital technologies to digitize and communicate environmental, nutrition and human health impact to consumers and agri-food industries
We apply life cycle assessment tools such as OpenLCA and SimaPro, and databases such as EcoInvent and Agribalyse to assess the environmental impact of products, processes and services
We apply nutrient profile methods and human health impact modelling to communicate and support consumers in making healthy and sustainable food choices
Try our McGill DISH, a digital tool designed to stimulate you towards healthy and sustainable food choices
Try our Circular Bio-StartKit, a digital tool designed support decision making in the optimal and feasible upcycling pathways
C-BioStartKit leverages environmental impact
modeling, nutrient profile and health
health impact modeling to nudge consumers towards healthy and sustainable
food
Try our FS-ROAS, enables stakeholders, decision-makers, and policy think tanks to explore diverse intervention scenarios in the context of short-,'' medium- and long-term goals to build resilient and sustainable future food systems
FS-ROAS provides an interactive avenue for decision-makers to explore diverse strategic intervention scenarios in the context of short-medium- and long-term goals to build sustainable future food system