Résultats de la recherche
Displaying 1 - 5 of 5 results.
Mining the gaps: Using machine learning to map 1.2 million agri-food publications from the Global South
The evidence base on agri-food systems is growing exponentially. The CoSAI-commissioned study, Mining the Gaps, applied artificial intelligence to mine more than 1.2 million publications for data, creating a clearer picture of what research has been conducted on small-scale farming and post-production systems from 2000 to the present, and where evidence gaps exist.
Sujet(s):
Année de publication:
2021
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Better instruments and approaches are needed to transform agri-food systems research and innovation
A range of approaches and financial instruments have been used to stimulate and support innovation in agriculture and resolve interlocking constraints for uptake at scale. These include innovation platforms, results-based payments, value chain approaches, grants and prizes, incubators, participatory work with farmer networks, and many more.
Sujet(s):
Année de publication:
2021Où est situé la ressource?:
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Eight research and innovation principles for sustainable and equitable agri-food systems
A huge increase in investment in innovation for agricultural systems is critical to meet the Sustainable Development Goals and Paris Climate Agreement. Most of this increase needs to come from reorienting existing funding for innovation. However, understanding whether an investment will fully promote environmentally sustainable and equitable agri-food systems can be difficult.
Sujet(s):
Année de publication:
2022Où est situé la ressource?:
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Effective approaches and instruments for research and innovation for sustainable agri-food systems
The study was designed to answer the following three key questions:
(1) What types of investment instruments have been tested to support innovation in agri-food systems in the Global South, and how can these be categorized into a working typology?
(2) What is the evidence on how well different instruments have supported SAI's multiple objectives (e.g. social equality and environmental) at scale and what contextual and design factors affect their success or failure in achieving these objectives (e.g. type of value chain, who participates)?
Sujet(s):
Année de publication:
2021Où est situé la ressource?:
- Link to web resource
Mining the gaps: using machine learning to map a million data points from agricultural research from the Global South
This shift in thinking will require major shifts in policy, research, and investment. But where should these investments go? What foundations should be strengthened? Which gaps need filling? What’s working? What’s not?
In order to answer these questions in an informed way, we need to examine the evidence that exists and identify areas where more research is needed.
But this is easier said than done.
Sujet(s):
systèmes de connaissances et d'informationTIC (Technologies de l'information et de la communication)Knowledge management/Gestion des connaissancesrecherche
Année de publication:
2021Où est situé la ressource?:
- Link to web resource
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