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Pathways towards a fair, inclusive and innovative Data Economy for Sustainable Food Systems
| Funder | European Commission |
|---|---|
| Recipient Organization | Stichting Wageningen Research |
| Country | Netherlands |
| Start Date | Sep 01, 2022 |
| End Date | Aug 31, 2026 |
| Duration | 1,460 days |
| Number of Grantees | 25 |
| Roles | Participant; Third Party; Coordinator |
| Data Source | European Commission |
| Grant ID | 101059473 |
Grant Description
The digital transformation of food systems has entered a twilight zone: data-driven innovations have proven to be promising, but it is still unclear how to upscale adoption and have broader acceptance.
The Data4Food2030 project aims to improve the data economy for food systems (DE4FS) by expanding its definition, mapping its development, performance and impact to create new insights and opportunities.
This contributes to a more competitive and sustainable food system in the EU and supports implementation and adaptation of relevant policies such as a Digital Single Market, Green Deal and the Common Agricultural Policy.
Data4Food2030 is a 4-year project that aims to 1) enlarge the knowledge base and insight into the DE4FS, 2) develop a system that monitors and evaluates the development, performance and impact of the DE4FS on relevant EU policies 3) identify drivers and barriers and turn these into opportunities, recommendations and solutions, 4) test solutions and evaluate recommendations in case studies and through stakeholder dialogues and 5) provide future scenarios and a roadmap and sustain the monitoring system to support policy development and accelerate the desired future state of the DE4FS.
Data4Food2030s approach is targeted at an improved future state of the DE4FS from which clear design principles, recommendations and solutions are derived for improving and adapting policies and practices at public and private level.
As an essential part of the project, stakeholders are deeply engaged to provide input to various DE4FS concepts and evaluate several project outcomes to increase the impact of the project.
Nine case studies provide real-life examples of the DE4FS at micro- and meso-economic level, deploying data and technologies, which are used for mapping and improvement to promote data-enabled business models.
In this way, Data4Food2030 creates credible pathways to navigate properly through the twilight zone towards a fair, inclusive and innovative DE4FS.
All Grantees
Agdatahub; Anysolution Sl; Institut Für Angewandte Systemtechnik Bremen Gmbh; Uhlava Ops; Euro Pool System International (Deutschland) Gmbh; Szkola Glowna Gospodarstwa Wiejskiego; 1001 Lakes Oy; Vrije Universiteit Brussel; The Lisbon Council for Economic Competitiveness Asbl; Wirelessinfo; Eigen Vermogen Van Het Instituut Voor Landbouw- En Visserijonderzoek; Luonnonvarakeskus; European Food Information Ressource Aisbl; Nodibinajums Baltic Studies Centre; Itc - Inovacijsko Tehnoloski Grozd Murska Sobota; Univerza V Mariboru; Reframe Food Astiki Mi Kerdoskopiki Etairia; Centre International de Hautes Etudes Agronomiques Mediterraneennes; Stichting Effost; Wageningen University; Institut National de Recherche Pour L'Agriculture, L'Alimentation Et L'Environnement; Fondation Jean Jacques Laffont,Toulouse Sciences Economiques; Netcompany-Intrasoft Sa; Ifip-Institut Du Porc Association; Stichting Wageningen Research
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