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Despite the increasing demand for model-based analysis in agricultural policy development, the labour market faces a persistent shortage of professionals with expertise in economic and environmental modelling. Several factors contribute to this gap, including the limited exposure of students to modelling methods in undergraduate and master’s programmes, the low availability of academic supervisors promoting modelling in research, the scarcity of training opportunities outside universities, and the high costs associated with specialised training.
Recognising these challenges, the ACT4CAP27 project is committed to enhancing the number of graduates and professionals with both basic and advanced skills in agri-food economic modelling. Through targeted capacity-building activities, ACT4CAP27 aims to equip newcomers with the necessary skills to engage in model-based research while fostering their involvement in policy assessments. By doing so, the project ensures that scientific insights are effectively translated into practical policy applications.
ACT4CAP27 brings together leading modelling teams specialising in economic, environmental, and social aspects of agriculture, with a focus on the EU. By consolidating expertise across different modelling frameworks, the project offers a robust platform for fostering capacity building in agri-food economic modelling.
The ACT4CAP27 capacity-building framework represents a strategic investment in the future of agri-food policy analysis. By integrating modelling into academic programmes, providing hands-on training opportunities, and fostering a strong research network, ACT4CAP27 aims to bridge the gap between scientific expertise and practical policy development. These efforts will contribute to the sustainability and resilience of EU agri-food systems while equipping the next generation of researchers with the skills needed to address pressing challenges.
The approach consists of two key pillars: providing Training sessions on modelling & operating the Agri-Food Modelling Young Researcher Network.
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.
