The co-creation and sharing of knowledge among different types of actors with complementary expertise is known as the Multi-Actor Approach (MAA). This paper presents how Horizon2020 Thematic-Networks (TNs) deal with the MAA and put forward best practices during the different project phases, based on the results of a desktop study, interviews, surveys and expert workshops. The study shows that not all types of actors are equally involved in TN consortia and participatory activities, meaning TNs might be not sufficiently demand-driven and the uptake of the results is not optimal. Facilitators are key to contributing to the relationships and the mutual understanding between different actors. Moreover, a user-friendly digital knowledge platform...
Agricultural innovation emerges from the social interaction between many different stakeholders such...
These guides highlight what we have learned from LIAISON's activities and data collection. The aim i...
In this paper we use a network perspective to study the micro level of agricultural innovation syste...
The co-creation and sharing of knowledge among different types of actors with complementary experti...
Providing ready-for-practice materials in an easily accessible and user-friendly way is one of the c...
Purpose: Networks and partnerships are commonly-used tools to foster knowledge sharing between actor...
Innovation is widely regarded as a key factor for the economic development and competitiveness of co...
Innovation rests not only on discovery but also on cooperation and interactive learning. In agricult...
Purpose: Networks and partnerships are commonly-used tools to foster knowledge sharing between actor...
Innovation rests not only on discovery but also on cooperation and interactive learning. In agricult...
To provide a framework for the analysis of the co-innovation process, we developed a multidimensiona...
Nowadays knowledge and innovation play a crucial role in helping farmers meet the future challenges ...
Multi-Actor projects are expected to implement the multi-actor approach as defined by the EU Commiss...
These guides highlight what we have learned from LIAISON's activities and data collection. The aim i...
International audienceIn this paper, we use conceptual insights from the actor–network theory (ANT) ...
Agricultural innovation emerges from the social interaction between many different stakeholders such...
These guides highlight what we have learned from LIAISON's activities and data collection. The aim i...
In this paper we use a network perspective to study the micro level of agricultural innovation syste...
The co-creation and sharing of knowledge among different types of actors with complementary experti...
Providing ready-for-practice materials in an easily accessible and user-friendly way is one of the c...
Purpose: Networks and partnerships are commonly-used tools to foster knowledge sharing between actor...
Innovation is widely regarded as a key factor for the economic development and competitiveness of co...
Innovation rests not only on discovery but also on cooperation and interactive learning. In agricult...
Purpose: Networks and partnerships are commonly-used tools to foster knowledge sharing between actor...
Innovation rests not only on discovery but also on cooperation and interactive learning. In agricult...
To provide a framework for the analysis of the co-innovation process, we developed a multidimensiona...
Nowadays knowledge and innovation play a crucial role in helping farmers meet the future challenges ...
Multi-Actor projects are expected to implement the multi-actor approach as defined by the EU Commiss...
These guides highlight what we have learned from LIAISON's activities and data collection. The aim i...
International audienceIn this paper, we use conceptual insights from the actor–network theory (ANT) ...
Agricultural innovation emerges from the social interaction between many different stakeholders such...
These guides highlight what we have learned from LIAISON's activities and data collection. The aim i...
In this paper we use a network perspective to study the micro level of agricultural innovation syste...