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
Coordinating converging technologies: A survey of models from the field of multi-actor systems
Converging technologies demand new forms of social, economic and technological coordination. The discovery of new technology is, for example, increasingly diffused - no single inventor, institute or laboratory has the necessary knowledge to pioneer new discoveries in isolation from others. The coordination of converging technology is increasingly a large-scale, high-risk enterprise, requiring the formation of partnerships and alliances. The field of multi-actor systems is a developing discipline of management of technology. One aspect of the field of multi-actor systems is the development of models of actor coordination. Such models are useful for explanatory, operational as well as strategic purposes. In this paper we investigate which formal modeling methods are most applied to multi-actor problems in general and multi actor problems faced by converging technologies like information technology, biotechnology, and nanotechnology. Our analysis shows that game theory is the most applied multi-actor model. We create a classification of problems facing the technology manager, and examine the suitability of these models in light of these emerging problems of the three converging technologies.
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