Designing multi-actor project proposals that meet the Multi-actor requirements
This presentation represents one session of the PREMIERE training seminar. The session focuses on the seven multi-actor requirements of Horizon Europe Cluster 6 Call Topics with mandatory application of the Multi-Actor Approach. It builds on the general introduction to the Multi-Actor Approach (MAA).
von Münchhausen, Susanne +1 more
openaire +1 more source
Perceptions of Fairness of Support Between Older Parents and Adult Children
Increased life expectancy and reduced fertility mean more generations are living simultaneously but with fewer members. There is also a growing group of older people (aged 80 and over) who need care and support.
Anna Willems +2 more
doaj +1 more source
Building long-term vision for rural areas through multi-actor platforms: a preliminary study in the Emilia-Romagna region. [PDF]
Pellegrini E +3 more
europepmc +1 more source
Varieties of public-private policy coordination: How the political economy affects multi-actor implementation. [PDF]
Trein P, Tosun J.
europepmc +1 more source
A multi-actor, participatory approach to identify policy and technical barriers to better farming practices that protect our drinking water sources. [PDF]
Campling P +23 more
europepmc +1 more source
Evaluation of the mandatory multi-actor requirements in Horizon Europe multi-actor project proposals
This presentation represents one session of the PREMIERE training seminar. The session focuses on the evaluation process of proposals for Horizon Europe Cluster 6 Call Topics with mandatory application of the Multi-Actor Approach. The European Commission engages external experts for the evaluation of Horizon proposals. They follow a given time schedule
von Münchhausen, Susanne, Pietx, Jordi
openaire +1 more source
Editorial: Actors and adaptive planning in water management
Carsten Butsch +5 more
doaj +1 more source
Scenario Storyline Discovery for Planning in Multi‐Actor Human‐Natural Systems Confronting Change
Scenarios have emerged as valuable tools in managing complex human‐natural systems, but the traditional approach of limiting focus on a small number of predetermined scenarios can inadvertently miss consequential dynamics, extremes, and diverse ...
Antonia Hadjimichael +4 more
doaj +1 more source
Multi-agent Gradient-Based Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning
This paper proposes a gradient-based multi-agent actor-critic algorithm for off-policy reinforcement learning using importance sampling. Our algorithm is incremental with full gradients, and its complexity per iteration scales linearly with the size of ...
Jineng Ren
doaj +1 more source
Experiential Value in Multi-Actor Service Ecosystems: Scale Development and Its Relation to Inter-Customer Helping Behavior. [PDF]
Weretecki P, Greve G, Henseler J.
europepmc +1 more source

