
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. This practice abstract discusses industry & food system actors’ views on key bottlenecks preventing data sharing, particularly data related with health and consumers, supply chain and production, waste and environmental, social and behavioural, animal welfare, and business and management.
| 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 |
