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This four-module (12 hr) training course has been developed to share and disseminate key findings from the H2020 funded LIAISON project. It is designed for practitioners who are already involved in multi-actor projects or individuals who are interested in learning more about effective ways to work together in co-innovation projects. The course is designed over four three-hour sessions and includes a trainer’s guide, presentation materials, exercises, case studies and handouts. Supplementary information can be accessed from LIAISON toolbox here https://liaison2020.eu/; or by accessing the "LIAISON: Better Rural Innovation: Linking Actors, Instruments and Policies through Networks" community resources.
innovation systems, participatory innovation, multi-actor, co-creation
innovation systems, participatory innovation, multi-actor, co-creation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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