The goal of B4EST is to increase forest survival, health, resilience and productivity under climate change and natural disturbances, while maintaining genetic diversity and key ecological functions, and fostering a competitive EU bio-based economy. B4EST will provide forest tree breeders, forest managers and owners, and policy makers with: 1) better scientific knowledge on adaptation profiles and sustainable productivity, and added value of raw materials in important European tree species for forestry, 2) new and flexible adaptive tree breeding strategies, 3) tree genotypes of highly adaptive and economical value, 4) decision-support tools for the choice and use of Forest Reproductive Material (FRM) while balancing production, resilience and genetic diversity, including case studies developed with industrial partners, 5) integrative performance models to guide FRM deployment at stand and landscape level, 6) economic analyses of risks/benefits/costs, and 6) policy recommendations. B4EST will capitalise on the resources developed by past and current EU projects to produce -together with tree breeders, forest managers and owners, and the industry- operational solutions to better adapt forests to climate change and reinforce the competitiveness of the EU forest-based sector. To cover the geographical, economic and societal needs of forestry in the EU, B4EST will work with 8 (six native, two non-native) conifers and broadleaves with advanced breeding programmes (Norway spruce, Scots pine, maritime pine, poplars, Douglas-fir, eucalypts) or that are case studies of pest-threatened forests (ash) or valuable non-wood products (stone pine). Our approach will result in a high degree of data and knowledge integration, involving multiple and new target traits and their trade-offs; genomic information; temporal and spatial assessments in a wide range of environments; stakeholder demands; and forest owner and manager risk perception and acceptability of new breeding strategies.

AgriLink aims to stimulate sustainability transitions in European agriculture through better understanding the roles played by farm advice in farmer decision-making. To this end, AgriLink will analyse and improve the role of farmer advice in 8 innovation areas that combine challenges identified in the “Strategic Approach to EU Agricultural Research & Innovation”. AgriLink builds on the premise that the full range of advice-providing organisations need to be included in the assessment of service provision and innovation adoption. The methodology combines theoretical insights with cutting edge research methods within a multi-actor, transdisciplinary approach. It draws on ‘micro-AKIS’ (individuals and organisations from whom farmers seek services and exchange knowledge with) analysis in 26 focus regions, sociotechnical scenario development and ‘living laboratories’ where farmers, advisors and researchers work together. Research in focus regions will provide insight in farmers’ micro-AKIS, advisory suppliers’ business models, and regional farm advisory systems. This will feed an assessment of the efficacy of governance of farm-advice-research interactions across Europe. Newly developed advisory methods and new forms of research-practice interaction will be validated and further developed in Living Laboratories. A socio-technical scenario method will be used to explore, jointly with stakeholders, transition pathways towards more sustainable agriculture. Crucially, AgriLink builds on insights and experiences from both research and practice. The consortium consists of researchers from different disciplines (institutional economics, innovation studies, AKIS studies, sociology of networks), as well as of advisors (from public, private and farmer-based organisations) from across the EU. Actors from advisory services will be active in the validation and dissemination of results, to ensure that all project findings are both scientifically sound and practically useful.

Threats to pollinators and pollination services that support agriculture and provide benefits to people are a worldwide problem. AGRI4POL’s ambition is to assist the transition of agriculture from being a pressure on pollinators to becoming a positive force for managing and restoring pollinator biodiversity, crop pollination services, and co-benefits to ecosystems and people. To achieve this transition towards more pollinator friendly farming systems and value chains, AGRI4POL will advance scientific understanding of crop-farming system-pollinator relationships from the crop gene to the agroecosystem. By evaluating the genetic basis of crop floral traits attracting and rewarding crop pollinators, we will identify candidate crop lines suitable for breeding future pollinator-smart varieties. We will study how pollinator-crop relationships are modified in space and time, by the diversity and rotation of crop species and varieties, by ecological infrastructure (EI) comprising landscape features and non-crop habitats, and by future climate or land-use change. Synthesising this information from the gene to agroecosystem scale will allow us to provide integrated recommendations for optimising landscapes for crop pollination, pollinator biodiversity and multiple ecosystem benefits. AGRI4POL research will be framed and supported by early and sustained multi-actor engagement along agri-food chains to assure its relevance and the acceptability of management options to farmers and society. This multi-actor approach will also enable assessments of the socio-economic and policy obstacles and opportunities affecting the feasibility and uptake of pollinator-friendly farming at [sub]national, European and international scales. AGRI4POL will therefore showcase to farmers, agri-food actors, policymakers and society the importance of pollinator-friendly farming to food security and sustainability goals (EC Green Deal, Nature Restoration Law; UN SDGs).

SAFFI targets food for EU’s 15 million and China’s 45 million children under the age of three. It aims at developing an integrated approach to enhance the identification, assessment, detection and mitigation of safety risks raised by microbial and chemical hazards all along EU and China infant food chains. SAFFI will benchmark the main safety risks through an extensive hazard identification system based on multiple data sources and a risk ranking procedure. It will also develop procedures to enhance top-down and bottom-up hazard control by combining management options with a panel of technologies for the detection and mitigation of priority hazards. SAFFI will discover unexpected contaminants by predictive toxicology and improve risk-based food safety management of biohazards by omics and predictive microbiology. SAFFI will co-develop with and deliver to stakeholders a decision-support system (DSS) to enhance safety control all along the food chain. This DSS will integrate the databases, procedures and methods described above and will be a framework for a generic DSS dedicated to other food. This overall methodology will be implemented in two complementary European and Chinese mirror projects and exemplified for each, with four case studies that were selected to cover priority hazards, main ingredients, processes and control steps of the infant food chain. Resulting databases, tools and procedures will be shared, cross-validated, concatenated, benchmarked and finally harmonized for further use in the EU and China. SAFFI will also set up training and knowledge transfer activities to foster EU-China harmonization of good practices, regulations, standards and technologies, and will cluster with other projects under the EU-China FAB Flagship initiative for continuous upgrade of food safety control. This EU-China multi-actor consortium of 20 partners involves academia, food safety authorities, infant food companies, paediatrics and technological and data-science SMEs.