The two strategic documents for the future of Europe post 2020 (Green Deal) and agriculture in Europe (From Farm To Fork) recognize the important role of knowledge and innovation systems in accelerating change towards food sustainability. Researchers and advisors, together with the other actors of the Agricultural Knowledge and Innovation System, have the mandate to cooperate more closely to support all on this transition path. This includes stronger and more structured networking, increased information sharing and using digital tools to this effect.
This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem.
Women play a key role in agriculture and food security, making up around 48 percent of the agricultural labour force in low-income countries. Despite this, their important contribution is hardly visible and largely unrecognized. Gender equality regards human rights but gender-based constraints in the sector cause also major inefficiencies in value chains, and are a key impediment for rural development, food security, and social and environmental sustainability. Moreover, the severe and multidimensional constraints faced by women hamper their productive potential and livelihoods.
The overall objective of the technical workshop was to present the guidelines on AIS and EAS assessments, the results at country level and to design and develop a framework of indicators to complement those assessments. Specific objectives were to:
Since 2017, in line with COAG’s recommendation, the Research and Extension Unit engaged in the development of a participatory AIS assessment framework including a customizable toolbox for countries with a totally new capacity development perspective. The assessment framework is meant for actors of the national agricultural innovation systems, i.e.
Extension and advisory services (EAS) perform an important role in agricultural development and help reduce hunger and poverty. Development efforts are increasingly complicated because of challenges such as natural resource depletion and climate change. Agricultural development frameworks have moved from a linear to a more complex systems perspective. Many scholars today use the agricultural innovation systems (AIS) framework as a conceptual model.
In theory, under the federal structure agricultural extension services can serve communities better as it aims to be client responsive and accountable to its consumers at the village level. However, poor understanding of federalism that has only recently emerged from the persisting centralized and feudal conceptions, limited practices of democratic norms and values primarily due to the lack of understanding of local governance, and limited commitment of political actors and policy makers to federalism, may derail the good intentions behind federalism.
Extension and advisory services (EAS) play a key role in facilitating innovation processes, empowering marginalized groups through capacity development, and linking farmers with markets. Advisory services are increasingly provided by a range of actors and funded from diverse sources. With the broadened scope of EAS and the growing complexity of the system, the quantitative performance indicators used in the past (e.g. related to investment, staffing or productivity) are not adequate anymore to understand whether the system is well-functioning.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.
Recent sessions of FAO Governing Bodies have put a strong focus on science, technology and innovation and Members are increasingly requesting FAO’s support to harness science and innovation. The FAO Science and Innovation Strategy (the Strategy) was adopted by the FAO Council at its 170th Session following an inclusive and transparent consultative process, with the participation of all Members through formal sessions of Governing Bodies (including the Regional Conferences in 2022), as well as two informal consultations and informal meetings with Regional Groups.