Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making
Objectives and actions
Objective
Facilitate decision making for beekeepers and other stakeholders by establishing ready-to-use tools for operationalising the HSI
Action
Develop new technologies, apply large scale testing and facilitate the coordinated and harmonised flow of data
Objective
Test, standardise and validate methods for measuring and reporting selected indicators affecting bee health
Action
Carry out a pilot and several field studies in different representative European countries
Objective
Explore the various socio-economic and ecological factors beyond bee health
Action
Identify viable business models tailored to different European contexts
Objective
Foster an EU community to collect and share knowledge related to honey bees and their environment
Action
Develop honey bee health and management data platform and affiliated website
Objective
Engender a lasting learning and innovation system (LIS)
Action
Bring together beekeepers, bee inspectors, other stakeholders and scientists
Objective
Minimise the impact of biotic and abiotic stressors
Action
Enable adaptable and timely mitigation actions aimed at alleviating the impact of different stressors
What makes B-GOOD unique?
- Wide spatial network of honey bee colony data collection with close linkage to existing data
- Innovative autonomous hive-monitoring technologies and techniques
- Machine learning identifying relationships between the HSI and colony state
- Simulation modelling linking data to the desired outcomes of the actor networks and stakeholder groups
- Interactive multi-actor approach for co-creation and co-development of realistic solutions for stakeholders, beekeepers and policy makers
- Learning and innovation system for knowledge transfer involving and targeting EU beekeeper networks
