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Home Research & Innovation Agriculture

Data4Food2030 Explores Future Scenarios for the Data Economy in Food Systems and invites you to co-create them

by WIT News editor
14/11/2025
in Agriculture, Climate & Environment, Research & Innovation
DATAFood2030

Publicity photo: DATAFood2030

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Achieving a fair, inclusive, and innovative data economy requires understanding the challenges, opportunities, and trade-offs faced by diverse stakeholders. As part of the Data4Food2030 project, Wageningen University and Research (WUR) has conducted in-depth research on the future of the data economy for food systems (DE4FS), exploring how data can enhance sustainability, transparency, and resilience across Europe’s agri-food landscape.

To address this, WUR and project partners engaged stakeholders across Europe in a social, ethical, and legal back casting experiment, co-creating plausible future scenarios and pathways toward sustainable food systems. Two rounds of participatory workshops were held in six European countries (Spain, Belgium, Latvia, the Netherlands, Poland, and Slovenia). The first round identified narratives shaping possible futures of the DE4FS in 2050, which were synthesised into four EU-level scenarios. The second round refined these into three desirable scenarios and pathways to 2030, using Theory of Change (ToC) methods to map the actions and conditions needed to achieve fair and sustainable outcomes.

The study presents three distinct yet interconnected scenarios:

Scenario A: Personalised Healthy Diets

Secure, consent-based use of personal data enables tailored nutrition. Educational initiatives and innovative business models support healthy diets, while farmers achieve sustainable livelihoods through data-driven demand insights.

Scenario 2_D4F

Scenario B: Local and Transparent Value Chains

Local value chains provide accessible, affordable, and healthy food, driven by informed consumers. Data sharing strengthens cooperation among value chain actors, enhances regional resilience, and ensures full traceability to reduce environmental impacts.

Scenario 2_D4F

Scenario C: Strictly Regulated High-Tech for Reduced Environmental Impact

Precision agriculture and data-driven decision-making improve environmental performance and eliminate harmful practices. Strong governance ensures fair data practices, transparency, and interoperability, while new business models and collaboration across value chains secure viable livelihoods for farmers.

Together, these scenarios illustrate alternative yet complementary pathways toward a sustainable and equitable data economy for food systems. They highlight the importance of trust, collaboration, and robust governance in realising the potential of data to transform Europe’s food future.

Together, these scenarios illustrate alternative yet complementary pathways toward a sustainable and equitable data economy for food systems. They highlight the importance of trust, collaboration, and robust governance in realising the potential of data to transform Europe’s food future.

Want to Contribute to Our Research? Have Your Say on the Future of Food and Data!

Are you curious about how your food data is used? Do you think farmers should benefit more from data sharing? Or that transparency and fairness in the food system matter?

Take part in the Data4Food2030 survey and share your views on nine key dilemmas shaping the data economy for sustainable food systems.

It only takes 15 minutes to help build a fair, inclusive, and innovative data economy for food systems.

Take the survey here: Link

For questions, please contact:

Kelly Rijswijk | Wageningen University and Research |  kelly.rijswijk@wur.nl

For more information about the Horizon Europe Project Data4Food2030, please visit data4food2030.eu.

 

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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