Pathways towards a fair, inclusive and innovative Data Economy for Sustainable Food Systems
Sector: Raw Materials • Location: Netherlands, Greece, France, Belgium, Germany, Luxembourg, Latvia, Poland, Spain, Slovenia, Czechia, Finland
Source: EU Funding & Tenders Portal
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 opportunit
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
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. Data4Food2030’s 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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
