Summary
Impact assessments in the areas of agriculture are (partly) based on projections delivered by models. Sectoral policies are becoming more and more interrelated. Hence, there is a need to improve the capacity of current models, connect them or redesign them to deliver on an increasing variety of policy objectives, and to explore future directions for agricultural modelling in Europe.
SUPREMA comes to address this challenge by proposing a meta-platform that supports modelling groups linked already through various other platforms and networks. SUPREMA should help close the gaps between expectations of policy makers and the actual capacity of models to deliver relevant policy analysis. The SUPREMA model family includes a set of ‘core models’ that are already used in support of key European impact assessments in agriculture, trade, climate and bioenergy policies. The meta-platform, the enhanced linked system of existing core models and some key applications melt down in a Roadmap for future directions for agricultural modelling in Europe.
The project has four coherent objectives:
1. A SUPREMA roadmap of future directions for modelling will be developed.
2. An enhanced and strengthened SUPREMA model family will be created.
3. Future directions of modelling in agriculture will be explored and tested.
4. A SUPREMA meta-platform will be established, to share and discuss the findings of the work with existing model platforms, research communities, and policy makers.
The objectives of SUPREMA are iterative in nature and involve strong engagement with policy makers, and interaction with the scientific community, at the different stages. The models included in SUPREMA cover different spatial scales of analysis, agricultural activities, representation of technologies, but also different aspects of its market environment as well as multiple policies affecting agriculture directly or indirectly.
SUPREMA comes to address this challenge by proposing a meta-platform that supports modelling groups linked already through various other platforms and networks. SUPREMA should help close the gaps between expectations of policy makers and the actual capacity of models to deliver relevant policy analysis. The SUPREMA model family includes a set of ‘core models’ that are already used in support of key European impact assessments in agriculture, trade, climate and bioenergy policies. The meta-platform, the enhanced linked system of existing core models and some key applications melt down in a Roadmap for future directions for agricultural modelling in Europe.
The project has four coherent objectives:
1. A SUPREMA roadmap of future directions for modelling will be developed.
2. An enhanced and strengthened SUPREMA model family will be created.
3. Future directions of modelling in agriculture will be explored and tested.
4. A SUPREMA meta-platform will be established, to share and discuss the findings of the work with existing model platforms, research communities, and policy makers.
The objectives of SUPREMA are iterative in nature and involve strong engagement with policy makers, and interaction with the scientific community, at the different stages. The models included in SUPREMA cover different spatial scales of analysis, agricultural activities, representation of technologies, but also different aspects of its market environment as well as multiple policies affecting agriculture directly or indirectly.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/773499 |
| Start date: | 01-01-2018 |
| End date: | 30-06-2020 |
| Total budget - Public funding: | 999 823,75 Euro - 999 823,00 Euro |
Cordis data
Original description
Impact assessments in the areas of agriculture are (partly) based on projections delivered by models. Sectoral policies are becoming more and more interrelated. Hence, there is a need to improve the capacity of current models, connect them or redesign them to deliver on an increasing variety of policy objectives, and to explore future directions for agricultural modelling in Europe.SUPREMA comes to address this challenge by proposing a meta-platform that supports modelling groups linked already through various other platforms and networks. SUPREMA should help close the gaps between expectations of policy makers and the actual capacity of models to deliver relevant policy analysis. The SUPREMA model family includes a set of ‘core models’ that are already used in support of key European impact assessments in agriculture, trade, climate and bioenergy policies. The meta-platform, the enhanced linked system of existing core models and some key applications melt down in a Roadmap for future directions for agricultural modelling in Europe.
The project has four coherent objectives:
1. A SUPREMA roadmap of future directions for modelling will be developed.
2. An enhanced and strengthened SUPREMA model family will be created.
3. Future directions of modelling in agriculture will be explored and tested.
4. A SUPREMA meta-platform will be established, to share and discuss the findings of the work with existing model platforms, research communities, and policy makers.
The objectives of SUPREMA are iterative in nature and involve strong engagement with policy makers, and interaction with the scientific community, at the different stages. The models included in SUPREMA cover different spatial scales of analysis, agricultural activities, representation of technologies, but also different aspects of its market environment as well as multiple policies affecting agriculture directly or indirectly.
Status
CLOSEDCall topic
SFS-49-2017Update Date
26-10-2022
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H2020-EU.3.2. SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy
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Organisations
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| STICHTING WAGENINGEN RESEARCH (Coördinator)
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| EUROPEAN CENTER FOR AGRICULTURAL, REGIONAL AND ENVIRONMENTAL POLICY RESEARCH, EUROCARE
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| INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE
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| JOHANN HEINRICH VON THUENEN-INSTITUT, BUNDESFORSCHUNGSINSTITUT FUER LAENDLICHE RAEUME, WALD UND FISC...
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| JRC -JOINT RESEARCH CENTRE- EUROPEAN COMMISSION
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| SVERIGES LANTBRUKSUNIVERSITET
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| UNIVERSIDAD POLITECNICA DE MADRID