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University College London (UCL) is London’s Global University, known for its academic excellence, cross-disciplinary research, and global impact.
The Institute for Global Health (IGH) combines expertise in health, economics, and modelling to deliver practical, equity-driven solutions to global health challenges.
As part of the ACT4CAP27 consortium, the UCL Institute for Global Health contributes to the development of advanced modelling tools that assess the health impacts of agricultural and food policy scenarios in the EU and beyond. IGH leads the development of a health assessment module that quantifies the impact of dietary risks on mortality using country-specific food consumption data. The module can be used independently or linked with economic models to assess additional sustainability impacts. IGH also supports its integration into the project’s modular toolbox and contributes to scenario-based policy analysis.
ACT4CAP27 project information on the partner’s website in English or in national language:
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Marco Springmann is a Professorial Research Fellow in Climate Change, Food Systems and Health at UCL's Institute for Global Health, and a Senior Researcher on Environment and Health at the University of Oxford's Environmental Change Institute. He conducts multi-disciplinary research that connects food systems, climate change, and public health. His research has been published in leading journals, including Nature, Science, The Lancet, the BMJ, and others. In addition, he has contributed to high-level reports, including those of the EAT-Lancet Commission on Healthy Diets from Sustainable Food Systems, the Lancet Countdown on Health and Climate Change, the Global Nutrition Report, and the UN Environment Programme’s Emissions Gap Report.
Maria Schubring is a Global Health Modeller currently based at the UCL Institute for Global Health in Marco Springmann’s team. Her work centres on further developing the Dietary Impact Assessment (DIA) model and coupling it with agricultural-economic models such as CAPRI and MAGNET. She uses data-driven approaches to assess the health impacts of food and agricultural policy scenarios, applying R and GAMS as her primary modelling tools. Her work combines complex technical modelling with an interdisciplinary perspective to support sustainable and policy-relevant public health analysis.
Funded by the European Union. Horizon Europe Grant Agreement Nr. 101134874. Views and opinions expressed are those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
