Project
Stakeholder consultation for federated dataspaces development
Incorporating stakeholder insights, we leverages federated dataspaces to transform food systems in LMICs. With the big potential for data-driven solutions, it aims to facilitate the creation of efficient, sustainable, and equitable systems for improved food security and community well-being.
This project focuses on leveraging federated dataspaces to monitor and predict food system parameters in Low- and Middle-Income Countries (LMICs). Stakeholder consultation is highlighted as a crucial step in the development process, involving engagement with diverse groups to align the project with their needs and perspectives. By following this approach, the project can foster a more efficient, sustainable, and equitable food system in LMICs, improving food security and overall well-being.
The potential for transformative impact is emphasised due to the booming data-driven and AI approaches in various sectors. As these technological advancements continue, they are expected to extend to the food system in LMICs, reinforcing the value of implementing federated dataspaces. The significance of federated dataspaces lies in their ability to facilitate efficient data sharing with high privacy protection, utilising various data sources to generate collective insights through AI. Such insights are beyond what individual sources can provide. In a world of increasing digitalisation and data availability, qualitative reasoning alone is no longer acceptable for decision-making. The shift towards data-driven, evidence-based decision-making underscores the importance of implementing federated dataspaces to enhance the value of decision-making in the food system.
Scientific relevance, objectives, approach and links
Research questions
How can federated dataspaces help transforming the food system within Low- and Middle-Income Countries (LMICs)? What are the expected impacts? What are the critical building blocks to realise those impacts?
Project objective
Gather stakeholders’ insights on how federated dataspaces can contribute to transforming the food system within Low- and Middle-Income Countries (LMICs) with the aim to explore the expected impacts and identify critical building blocks necessary to realise those impacts
Approach
Consulting the internal and external stakeholders from the fields of food system data utilisation and valorisation, specifically those contributing to the facilitation of a more efficient and sustainable food system transition in Low- and Middle-Income Countries (LMICs).
Theory of Change if applicable
This project provides the basis for the Theory of Change in the data-driven food system transition which outlines a strategic approach for leveraging federated dataspaces to drive transformative change in food systems within Low- and Middle-Income Countries (LMICs). By engaging stakeholders, standardising data, empowering local capacity, and utilising advanced analytics, this approach can lead to a more efficient, sustainable, and equitable food system in LMICs, ultimately improving food security and the well-being of communities.
Activities
| Activity (tentative) | 2023 | 2024 | ||
|---|---|---|---|---|
| What | Budget | Persons/Partners (Internal or external) | Budget | Persons/Partners (Internal or external) |
| Stakeholder Consultation | 6000 Euros | Conducting consultations with internal and external stakeholders, including partners with prior experience in utilising food system data to drive impactful outcomes and inform policymaking, to gather their insights on the potential value and impact of federated data in transforming the food system within Low- and Middle-Income Countries (LMICs). | ||
| Reporting | 4000 Euros | Writing a short reports to summarise & analyse the findings and give propositions. |
Deliverables, deadlines and responsible persons of the team – focusing on 2023
| Deliverable | Format (paper/ presentation/ workshop/ ...) | Lead | Date | |
|---|---|---|---|---|
| 1 | A summary of the stakeholder consultation and resulting propositions | A short document | WFBR | September, 2023 |
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Risks (English)
Considering the small size of the budget and the capacity that is still available in my group, the risks for uncompleted project in this case is very small. Furthermore, with the rapid growth of data-driven and AI approaches, poised to revolutionise various sectors in the near future, there is compelling reason to believe that such advancements will extend to the food system in LMICs as well. Consequently, the risk of project failure is also minimal, given the potential of federated dataspaces for transformative impact in the food systems of LMICs.
Value creation (English)
Federated dataspaces establish a robust foundation for efficient data sharing while ensuring high levels of privacy protection. By integrating diverse data sources and leveraging AI, they yield collective insights that surpass what each individual source can produce. In the context of digitalisation and abundant data availability, relying solely on qualitative reasoning for decision-making is no longer deemed sufficient. Consequently, data-driven, evidence-based decision-making has become imperative. Federated dataspaces emerge as a solution that can deliver substantial value in facilitating such informed decision-making processes within the food system.
This project also links to many ongoing initiatives both within and outside WUR. For examples, it is strongly linked to several ongoing and upcoming EU projects lead by WFBR and WEcR. We will try to create synergies with those initiatives during the course of the project to jointly maximise the impacts.
Project organisation
The project will be mainly carried out by WFBR facilitated by WEcR, WEnR, WFSR and also WU groups (playing a consulting role).