Descripción del proyecto
Una garantía de sostenibilidad para la PAC
La futura política agrícola común (PAC) de la Unión Europea (UE) desempeña una función esencial en el desarrollo de un sector agrícola sostenible. Esta política será más flexible y se adaptará a las necesidades de los Estados miembros de la UE, así como de las unidades decisoras individuales (IDM, por sus siglas en inglés) del sector. Para lograr este objetivo, los Estados miembros elaborarán planes estratégicos para la PAC, de manera que se puedan definir metas cuantificables y los medios para alcanzarlas. El proyecto MIND STEP, financiado con fondos europeos, utilizará datos agrícolas y biofísicos, e incluirá unidades IDM en modelos de políticas nuevas y actuales, para realizar evaluaciones de impacto. Los nuevos modelos IDM se calcularán y calibrarán mediante estadísticas y grandes conjuntos de datos del sector agrícola, además de emplear conceptos económicos consolidados y técnicas de aprendizaje automático en desarrollo.
Objetivo
Agricultural policies like the EU CAP are widening the scope to contribute to the Paris climate agreement and the Sustainability Development Goals. From the Commission's legislative proposals (June 2018) it is expected that the European Union (EU) Common Agricultural Policy (CAP) will be redesigned in line with this. Consequences are among others a move of the CAP to farm specific measures and an improved link to environment, climate change and ecosystem services. It is proposed that Member States and regions develop their own CAP strategic plan with more attention to the regional implementation of the CAP. This wider scope and measures with a focus on individual farmers ask for a new generation of impact assessment tools. Current state-of-the-art agricultural models are not able to deliver individual farm and local effects as they are specified at higher levels of aggregation. Making use of improved possibilities opened up by progress in the ICT area, our project MIND STEP will improve exploitation of available agricultural and biophysical data and will include the individual decision making (IDM) unit in policy models. Based on a common data framework MIND STEP will develop IDM models, including agent-based models, focussing on different topics in an integrated manner in different regional case studies. The IDM models will be estimated and calibrated using agricultural statistics and big datasets, drawing on established econometric and evolving machine learning techniques and using both traditional models of optimising behaviour and theories from behavioural economics. MIND STEP will closely cooperate with a range of stakeholders to co-create and apply the MIND STEP model toolbox to selected regional, national and EU wide policy cases. MIND STEP cooperates with other consortia under the topic to share ideas and innovations. Finally, MIND STEP develops an Exploitation Strategy and Plan to guarantee the sustainability of the project results upon its completion.
Ámbito científico
- social scienceseconomics and businesseconomics
- natural sciencesbiological sciencesecologyecosystems
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Palabras clave
Programa(s)
Tema(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-RUR-2018-2
Régimen de financiación
RIA - Research and Innovation actionCoordinador
6708 PB Wageningen
Países Bajos