The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
There are many long-term energy models currently in use with different underlying principles, characteristics, inputs, and outputs. Over the past 30 years, considerable efforts have been made to develop new models, following different approaches that vary in terms of model starting point and on the type of questions they are designed to answer. These models focus on the period to 2050 and to 2100 and are used to build future energy scenarios to assess the impacts of policy decisions and to build a rich knowledge base for climate change and energy security policies. PET, TIAM, and MESSAGE (examples of energy system models) provide a range of technology detailed energy system configurations to deliver future energy service demands at least cost. By contrast, GEM-E3, GEMINI-E3 and, GTEM (examples of general equilibrium models) are also optimization models, but here the energy system is less detailed but the whole economy is modeled. Other models (e.g., POLES) simulate the future evolution of energy demand and supply and a number of models have been developed that include energy, but which focus on integrated assessment of the economy energy and climate response (e.g., FUND, GCAM, and MERGE). It is important for energy analysts to assess what type of model best suits the requirement and to recognize the limitations of the various models available. Significant work is required to improve linkages between models to harness respective strengths and major modeling gaps (agriculture, land use, and behavior) require a specific focus for future work. (C) 2013 John Wiley & Sons, Ltd.
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