Practical Recommendations for the CROSSOVER Roadmap Sample Clauses

Practical Recommendations for the CROSSOVER Roadmap. Based on the analyses performed during the in-depth investigation of case studies, a short list of high- level recommendations to be used to further enhance the CROSSOVER Roadmap in its final version has been developed. Roadmap Recommendation 1. Think of the Roadmap’s Elements as Nodes in a Connected Graph Highly complex environments have a unique characteristic: the elements they include are related and linked to each other based on various types of relationships. The analysis presented in Table 5 has led to the creation of a graph revealing the relations between the different research challenges as listed in the draft CROSSOVER Roadmap on Policy Making 2.0 (Figure 5 below). The graph contains in blue all the Research Challenges deriving from the 1st Grand Challenge “Policy Modelling”, while the orange ones come from the 2nd Grand Challenge “Data-powered Collaborative Governance”. The edges between the different nodes represent the relationships between the different research challenges, as documented in the four cases under investigation, as a result of finding the relations between the different columns of Table 5 that belong either to the 1st Grand Challenge (rows 3-8) or to the 2nd (rows 10-17). For example, in the case of GLEAM and when isolating the sets of research challenges that belong to the different Grand Challenges, one could see that “Collaborative Modelling” is connected to “Immersive Simulation”, and “Open Government Data” is connected to “Visual Analytics”. However, as practice has shown, the two Grand Challenges are not isolated sets of research elements, as many connections between their elements exist. The green dotted edges reveal these relationships between the research challenges of the two grand challenges. Having GLEAM as an example again, one could see that it includes both “Open Government Data” and “Collaborative Modelling”, so the green dotted edge represents the evidence of such a relationship. The thickness of the edges reveals the number of relationships identified in the four cases (see Roadmap Recommendation #2). As figure 5 shows, there are many relations between the different research areas of Policy Making 2.0, even when looking at a very small (but with a wide span) specimen, such as the 4 cases analysed in the study. In fact, as it was already made evident in the previous sections, research and development during each case analysed focused in more than one research challenge as it aimed to solve specific problems whi...
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