Table 3.1d: List of Milestones
| Number | Name | Work Package No. | Lead Beneficiary | Means of Verification | Due Date (in months) |
|---|---|---|---|---|---|
| MS1.1 | Preliminary results of all data for initial implementation in WP2 | 1 | ETHZ | Data available on project workspace or repository | 18 |
| MS2.1 | Triage of most valuable products from initial collated datasets | 2 | UOY | Initial list of most valuable datasets available to the project consortium | 15 |
| MS4.1 | Preliminary LCA results from case studies | 4 | NILUAB | Presentation at M30 consortium meeting | 30 |
| MS5.1 | Creation of a stakeholder advisory group to support throughout WP1-6 | 5 | GLOBE | Group created | 8 |
| MS3.1 | Actor-level dataset about the environmental footprints of EU food producers and consumers | 3 | ULEI | Data from Tasks 3.1 and 3.2 delivered to lead of Task 3.3. | 23 |
| MS6.1 | GREENGROCER Online presence | 6 | NILU | Website is online | 4 |
| MS2.2 | Stakeholder workshops | 2 | UOY | Two workshops with data providers held | 28 |
| MS5.2 | Introduction of GreenGrocer activities to the ESRS working group. | 5 | GLOBE | Communication of the outcomes of the project during a ESRS meeting | 24 |
| MS2.3 | Data collection protocol developed and circulated to allow data from partners to be provided via common standards (e.g. CSV/JSON/SQL) | 2 | UOY | Protocol available to all project partners for the purposes of providing data | 28 |
| MS2.4 | Current project data mapped and entered into synthesis database | 2 | UOY | Project partners confirm their data is present via online review process | 30 |
| MS2.5 | Data mapping to determine sources to be used in the AI database | 2 | UOY | AICA tool developers are provided with a clear list of datasets to be included in the model | 32 |
| MS2.6 | Customised Generative Language Model (GLM) | 2 | UOY | GLM developed based on an open-source LLM | 34 |
| MS2.7 | Validation completed via expert engagement with prototype AICA model | 2 | UOY | AICI model is ‘fit for purpose’ following validation of the model’s outputs by the research team. | 42 |