
The #Data4Food Cluster comprising the DRG4Food, FOODITY, FoodDataQuest, and SOSFood projects organised a joint workshop in June 2025 to discuss challenges, enablers, and gains related to data sharing and AI-driven solutions for sustainable food systems. Two breakout room sessions explored perspectives from both consumers/citizens and industry/food system actors on data sharing and AI in food systems. Building on the findings of the workshop and breakout room sessions, the following recommendation and driving actions was proposed: Recommendation: Foster collaborative platforms for data-driven solutions.
| 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). | 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. | Average |
