Technical Implementation & Replicability Assessment of ​UK Regenerative Agriculture ​Landscape Finance Model

This EIT Food Request for Implementing Participants has the objective of recruiting one technical delivery participant to provide technical support and to conduct an assessment of the replicability   of a pre-defined UK regenerative agriculture landscape finance model pilot currently underway within an Overarching Landscape Initiative in the East of England.  

The selected technical delivery participant will be responsible for the technical and financial replicability assessment and for the direct implementation support, including governance and operating arrangements, and finance mobilisation support. 

The participant will also drive stakeholder coordination and engagement across the core actor groups, provide end to end project management and delivery coordination, and develop practical work packages that support mobilisation of finance and stakeholder commitment pathways. The role includes coordination with a farmer engagement workstream which will be led by an additional participant selected through a separate open call, ensuring those inputs are captured and integrated into structured replication learnings, success factors, process mapping, and practical guidance suitable for replication across other European landscapes.

The participant must demonstrate expertise in transition finance, regenerative agriculture, and landscape level initiatives, evidence of delivery on comparable projects in the last five years, and UK delivery experience with an established stakeholder network and the ability to build relationships with farmer facing organisations and enabling actors in the East of England context. The role also includes preparation of dissemination ready materials suitable for publication on EC dissemination platforms, to support wider communication and outreach.

A full description of the Activities, Deliverables and Milestones is available in the linked document: EIT Food UK Regenerative Agriculture Finance Model Replication Call 1.