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Search: WFRF:(Moscato G)

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  • Beck, S., et al. (author)
  • Experimenting with Open Innovation in Science (OIS) practices: A novel approach to co-developing research proposals
  • 2021
  • In: CERN IdeaSquare Journal of Experimental Innovation. - 2413-9505. ; 5:2, s. 28-49
  • Journal article (peer-reviewed)abstract
    • Co-producing scientific research with those who are affected by it is an emerging phenomenon in contemporary science. This article summarizes and reflects on both the process and outcome of a novel experiment to co-develop scientific research proposals in the field of Open Innovation in Science (OIS), wherein scholars engaged in the study of open and collaborative practices collaborated with the “users” of their research, i.e., scientists who apply such practices in their own research. The resulting co-developed research proposals focus on scientific collaboration, open data, and knowledge sharing and are available as an appendix to this article.
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  • Moscato, F., et al. (author)
  • The software architecture of the OsMoSys Multisolution Framework
  • 2007
  • In: VALUETOOLS 2007 - 2nd International ICST Conference on Performance Evaluation Methodologies and Tools. - : ICST.
  • Conference paper (peer-reviewed)abstract
    • The use of multi-formalism techniques is very appealing in modeling complex systems since they allow for building of complex models by integrating or composing sub-models specified by different formalisms. Hence, the most suitable formalism may be used according to the evaluation goals, the level of abstraction of the sub-models and the nature of the sub-systems. Each formalism is usually coupled with efficient solution methods, thus multi-solution approaches are needed to solve multi-formalism models whose analysis involves different techniques and tools. In this paper the software architecture of the OsMoSys Multi-solution Framework (OMF) is presented. OMF was born to provide the support needed to allow for loosely coupled cooperation among heterogeneous analysis techniques and tools, and automates the tasks that must be performed to solve complex multi-formalism models. OMF does not require that heterogeneous models are translated into a common formalism in order to be solved, nor that the available tools are modified to be integrated in the framework, but it achieves multi-solution by orchestration. Copyright 2007 ICST.
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