SEAMLESS in a nutshell
In short, SEAMLESS-IF will facilitate translation of policy questions into alternative scenarios that can be assessed through a set of indicators that capture the key economic, environmental, social and institutional issues of the questions at stake. The indicators in turn are assessed using an intelligent linkage of quantitative models. These models have been designed to simulate aspects of agricultural systems at specific scales, i.e. point or field scale, farm, region, EU and world. Application of the models requires pan-European databases for environmental, economic and social issues. Some indicators, particularly social and institutional ones, will be assessed directly from data or via a post-model analysis.
The smooth linkage of models designed for different scales and from biophysical and economic domains requires software architecture, and a design and technical implementation of models that allows this. The software backbone of the project, SeamFrame, serves that purpose. SeamFrame is also developed to facilitate re-use, maintenance and documentation of models.
The project has been set up in response to a research and policy need formulated by the European Commission.