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Deliverable 1.7 collatesand consolidatesstakeholder events across the TRAIN project. The events included in this report constitute a wide range of different formats including (but not limited to) meetings, workshops/webinars, training events, conferences and networking events.&nbsp

Report containing an analysis of existing Research and Innovation strategies and a definition of EUTOPIA- TRAIN themes and common research agenda, Deliverable 1.1 for EUTOPIA-TRAIN. Deliverable not yet approved by the European Commission.

The Icelandic sagas describe Icelanders travelling throughout the medieval world. But their stories were also written down during a time of unrest, when Icelandic society was under great pressure from Norwegian political influence. The images of these far-travellers – like the men who went east to serve foreign kings, and the men and women who sailed the dangerous seas to the west, to discover and colonise new lands – can reveal aspects of author intent and values. This thesis explains how stories of far-travellers and journeys provide a literary response by their authors, articulating their sense of an emerging Icelandic identity.

Sustainability assessments require the management of a wide variety of information types, parameters and uncertainties. Multi criteriadecision analysis(MCDA) has been regarded as a suitable set of methods to perform sustainability evaluations as a result of its flexibility and the possibility of facilitating the dialogue between stakeholders, analysts and scientists. However, it has been reported that researchers do not usually properly define the reasons for choosing a certain MCDA method instead of another. Familiarity and affinity with a certain approach seem to be the drivers for the choice of a certain procedure. This reviewpaperpresents the performance of five MCDA methods (i.e. MAUT, AHP, PROMETHEE, ELECTRE and DRSA) in respect to ten crucial criteria that sustainability assessments tools should satisfy, among which are a life cycle perspective, thresholds and uncertainty management, software support and ease of use. The review shows that MAUT and AHP are fairly simple to understand and have good software support, but they are cognitively demanding for the decision makers, and can only embrace a weak sustainability perspective as trade-offs are the norm. Mixed information and uncertainty can be managed by all the methods, while robust results can only be obtained with MAUT. ELECTRE, PROMETHEE and DRSA are non-compensatory approaches which consent to use a strong sustainability concept, accept a variety of thresholds, but suffer from rank reversal. DRSA is less demanding in terms of preference elicitation, is very easy to understand and provides a straightforward set of decision rules expressed in the form of elementary “if … then …” conditions. Dedicated software is available for all the approaches with a medium to wide range of results capability representation. DRSA emerges as the easiest method, followed by AHP, PROMETHEE and MAUT, while ELECTRE is regarded as fairly difficult. Overall, the analysis has shown that most of the requirements are satisfied by the MCDA methods (although to different extents) with the exclusion of management of mixed data types and adoption of life cycle perspective which are covered by all the considered approaches.