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D5.13 - Training catalogue development Y2

Authors: Hunninck, Marijke; Wenzlaff, Marie; Isakhanyan, Gohar; Giuffrida, Rita;

D5.13 - Training catalogue development Y2

Abstract

AgrifoodTEF is developing a dynamic ecosystem that brings together a wide range of stakeholders in the agrifood sector, from farmers and researchers to technology suppliers and startups. The project aims to accelerate the integration of digital technologies, such as AI, data analytics and robotics, into the agri-food sector to boost sustainable and efficient food production. A key part of this mission is to provide specialised training, workshop and courses to European Digital Innovation Hubs (EDIHs). These activities strengthen EDIHs by providing them with the expertise and resources to successfully translate innovative technologies into practice. Training, workshop and courses programmes range from introductory courses on AgrifoodTEF services to specialised workshops on data spaces, AI integration and compliancy.

Country
Netherlands
Keywords

Life Science

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    Impact byBIP!
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities