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
The double challenge of adapting to climate change while accelerating development in sub-Saharan Africa
Accelerating economic growth and social development is necessary to reduce the vulnerability and enhance the adaptive capacity of sub-Saharan Africa to cope with the consequences of predicted unfavorable future climate. This requires major investments and policy reforms to induce a needed radical transformation of the way development is currently pursued to a more climate-sensitive path of low carbon growth. Key gaps in the current knowledge base that call for major investments and urgent attention include the ability to forecast more robust local future climate and to account for the uncertainties associated with climate risks for ecosystems' functions and probable nonconvexities in future impacts to project more plausible scenarios for future development in sub-Saharan Africa and provide better information on the costs and benefits of potential actions to avert the negative consequences of climate change.
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