Stiftelsen NILU (NILU)
Leading Tasks
T6.1: Management of financial legal and administrative requirements
Lead: NILU (9PM).
Effort by contributors: NILUAB (2PM), UOY (2PM), ETHZ (1PM), GLOBE (1PM), SEI (1PM), UOXF (1PM), ARBO (1PM), COOL (1PM), CLIMCO (1PM), ULAT (1PM), BUW (1PM), DDS (1PM), ZHAW (1PM), ULEI (0.5PM), INTEC (0.5PM). Timing: M1-49. In this task we will manage and coordinate all financial and administrative activities in the project, including monitoring and maintaining the overall adherence to the financial budgets. T1.1 will deliver a project toolbox to ensure a smooth communication and cooperation between the project partners. This task will forward the EU contribution according to the work plan, the Consortium Agreement and the decisions made by the consortium. The administrative and financial monitoring of the project will be done by the project coordinator in cooperation with the Project Management Board (coordinator and WP leaders).
T6.2: Technical project management and coordination
Lead: NILU (9PM).
Effort by contributors: UOY (1PM), ETHZ (1PM), UOXF (1PM), INTEC (0.5PM). Timing: M1-49. In this task, we will perform technical project management and coordination of the consortium. NILU will oversee that deliverables, milestones and tasks are complemented on time and submitted in accordance with the contractual obligations. To monitor progress and quality a management system will be set up. In the first 6 months of the project, NILU will work with project partners to implement an effective and agile management system detailing different roles and responsibilities for each task and subtask. The project management board, consisting of coordinator and work package leads will meet frequently to oversee implementation, internal coherence and information flow. We will keep a continuous risk register and associated mitigation strategies, updated by task leaders along the project duration, to inform the management board of potential challenges in implementation.
T6.3: Outreach communication dissemination and clustering
Lead: NILU (9PM).
Effort by contributors: UOY (3PM), GLOBE (2PM), ETHZ (1PM), UOXF (1PM), ARBO (1PM), ZHAW (1PM), ULEI (0.5PM), INTEC (0.5PM). Timing: M1-49. In this task, we will manage activities related to outreach, communication and dissemination. We will develop and regularly update a communication and dissemination plan that will identify effective communication and dissemination activities and guide partners in WP1-5 to implement these. We will develop a visual identity and project website, and manage and update the various communication channels (website and social media accounts). We will create a log of events to guide partners in communication activities. We will support WP5 with the stakeholder workshops. Further, the task will stimulate knowledge sharing activities such as training and webinars across the consortium. Lastly, the task will actively seek to link with other cluster EU HE activities.
This task is linked to the following milestones: MS6.1 (M4).
T6.4: Exploitation strategies and business cases
Lead: NILU (9PM).
Effort by contributors: UOY (2PM), ULEI (1PM), SEI (1PM), UOXF (1PM), ZHAW (1PM), INTEC (0.5PM). Timing: M1-49. GREENGROCER has a distinct set of exploitable outcomes. In this task, we will develop the initial exploitation routes for data products, tools, methodologies, and standardisation activities. Starting out from key exploitation routes, we will develop business model canvases for each of the GREENGROCER outcomes, starting by identifying target markets (e.g. science to science, science to business, B2B or B2C), value propositions, and potential value capture models (e.g. freemium, SaaS -models). For data products developed under an open source licence, this task has clear links with the Data management and open science practices (T6.5) and communication and dissemination strategies. Contributes to:
D6.2 (M9), D6.7 (M46).
T6.5: Data Management and Open Science
Lead: NILU (8PM).
Effort by contributors: UOY (4PM), ULEI (2PM). Timing: M1-49. In this task, we prepare an overarching data management plan (DMP) for the project. We will solicit guidance from the experienced University of York Library Open Science team if required. The DMP will be developed in compliance with the EC guidelines on data management in Horizon Europe projects (cf. section 2.2). The DMP will be updated periodically. Contributes to:
D6.1 (M6), D6.5 (M24), D6.6 (M48).
T5.5: Develop policy recommendations for selected EU countries
Lead: NILU (3PM).
Effort by contributors: COOL (2PM), NILUAB (1PM), ULEI (1PM), UOXF (0.5PM). Timing: M18-48. The insights from analysis of different improvement domains (waste, diets, sourcing, agri-innovation) and case study analysis (WP3 and WP4) will be contextualised for selected, complementary countries identified as interesting based on the insights gained. This contextualisation will consider the feasibility of food transition pathways with high impact reduction potential, in view of existing national policies, governance, and contexts of food production, consumption and trade. Through the project we will work to facilitate direct conversations between members of the project consortium and key stakeholders, particularly between researchers and: (1) The financial sector (e.g., to help banks develop financing solutions for the food sector’s transition)., (2) Standard setters (e.g., EFRAG, and potentially others such as GRI)., and (3) Companies in the food sector preparing their sustainability reports and facing challenges in assessing risks and impacts within their value chains. We will aim at organizing at least two workshops between project consortium members and decision-makers in these areas to ensure practical, user-informed outputs and visibility / increased impact for project outputs. Contributes to:
D5.4 (M46), D5.5 (M24).
T6.6: Gender and ethics dimensions
Lead: NILU (8PM).
Effort by contributors: NILUAB (2PM). Timing: M1-7. The objective of this task is to ensure that relevant ethical principles, including research ethics, gender issues, and RRI (Responsible Research and Innovation) are addressed in the execution of GREENGROCER. It will review data management for privacy issues and compliance with the General Data Protection Regulation where relevant, review the methodological setup of models which could have a gender or ethics dimension, including the proposed AI model under Task 2.4 and facilitate the education of the project consortium in elements such as ethical impact assessment and responsible research and innovation. Ethics workshop will support the development of understanding and inclusion of ethics aspects in the project. This task links in particular to WP2, WP3, and WP5. Contributes to:
D6.3 (M6).
Responsible For Deliverables
Deliverable D6.1 — DMP initial version
| Deliverable Number | D6.1 | Lead Beneficiary | NILU |
| Deliverable Name | DMP initial version | ||
| Type | DMP | Dissemination Level | PU |
| Due Date (month) | M6 | Work Package No | 6 |
| Description | |||
| Not available |
Deliverable D6.2 — PEDR
| Deliverable Number | D6.2 | Lead Beneficiary | NILU |
| Deliverable Name | PEDR | ||
| Type | R | Dissemination Level | PU |
| Due Date (month) | M9 | Work Package No | 6 |
| Description | |||
| Not available |
Deliverable D5.3 — Policy brief 1
| Deliverable Number | D5.3 | Lead Beneficiary | NILU |
| Deliverable Name | Policy brief 1 | ||
| Type | R | Dissemination Level | PU |
| Due Date (month) | M22 | Work Package No | 5 |
| Description | |||
| Not available |
Deliverable D5.4 — Policy Brief 2
| Deliverable Number | D5.4 | Lead Beneficiary | NILU |
| Deliverable Name | Policy Brief 2 | ||
| Type | R | Dissemination Level | PU |
| Due Date (month) | M46 | Work Package No | 5 |
| Description | |||
| Not available |
Deliverable D6.4 — Project handbook
| Deliverable Number | D6.4 | Lead Beneficiary | NILU |
| Deliverable Name | Project handbook | ||
| Type | R | Dissemination Level | PU |
| Due Date (month) | M7 | Work Package No | 6 |
| Description | |||
| Not available |
Deliverable D6.5 — DMP Mid-project Update
| Deliverable Number | D6.5 | Lead Beneficiary | NILU |
| Deliverable Name | DMP Mid-project Update | ||
| Type | DMP | Dissemination Level | PU |
| Due Date (month) | M24 | Work Package No | 6 |
| Description | |||
| Not available |
Deliverable D5.6 — Practice Abstracts Batch 2
| Deliverable Number | D5.6 | Lead Beneficiary | NILU |
| Deliverable Name | Practice Abstracts Batch 2 | ||
| Type | R | Dissemination Level | PU |
| Due Date (month) | M48 | Work Package No | 5 |
| Description | |||
| Not available |
Deliverable D6.6 — DMP Final Update
| Deliverable Number | D6.6 | Lead Beneficiary | NILU |
| Deliverable Name | DMP Final Update | ||
| Type | DMP | Dissemination Level | PU |
| Due Date (month) | M48 | Work Package No | 6 |
| Description | |||
| Not available |
Deliverable D6.7 — PEDR update
| Deliverable Number | D6.7 | Lead Beneficiary | NILU |
| Deliverable Name | PEDR update | ||
| Type | R | Dissemination Level | PU |
| Due Date (month) | M46 | Work Package No | 6 |
| Description | |||
| Not available |
Responsible For Milestones
MS6.1: GREENGROCER Online presence
Means of verification: Website is online.
Due M4.
Lead Partner: NILU
Contributions in WP1
Contributing 1PM to:
T1.4: Modelling domestic and international trade and transport modes and emissions
Lead: ULEI (0PM).
Effort by contributors: ETHZ (9PM), SEI (9PM), UOY (5PM), NILU (1PM), DDS (1PM). Timing: M10-48. This task develops a comprehensive spatially explicit approach to analyse the supply chains and footprint of agricultural products. This integrated approach will involve analysing subnational commodity flows combining Trase for selected high-impact crops with FABIO/MRIO for full coverage of all international trade flows. About 85% of all traded products are transported by sea, a number that increases for the specific case of staple foods given their bulky nature. We will model global maritime transport of food trade and assess associated maritime shipping emissions. For all other transportation modes, we will develop a detailed multi-modal transport model, incorporating assessment of greenhouse gas and particulate matter emissions. Regarding IPR, the Trase data is all open, however some input data may be restricted. While the data product used to obtain results might not be shared, the final outputs that are part of the project will be freely shareable as long as we make sure they are not traceable back to the input data. Contributes to:
D1.4 (M40).
Contributing 1PM to:
T1.7: Technical implementation and data merging for a PEF-compliant database
Lead: ZHAW (11PM).
Effort by contributors: ETHZ (9PM), INTEC (2PM), NILU (1PM). Timing: M30-42. Datasets generated in this Work package into an LCA database that meets the standards of PEF. The task will link and further develop models and datasets to enhance data sharing and validation, increase visibility and relevance, and improve data utilisation. The results of WP1 form the basis to consistently include environmental impacts of processes and FLW at the various stages of the FVC and their impact reduction potential as well as nutritional aspects in the methodologies developed in WP2, into EU-wide modelling in WP3, case studies in WP4, stakeholder involvement in WP5, and management in WP6. Contributes to:
D1.5 (M42).
Contributing 0.5PM to:
T1.1: Breaking new ground: overcoming spatial and temporal limitations in agricultural production data
Lead: SEI (10PM).
Effort by contributors: ETHZ (10PM), UOY (6PM), DDS (2PM), NILU (0.5PM). Timing: M1-19. Mapping of the subnational (municipality, district, province) agricultural production of all key global crops, including their tonnage, area and yield. The higher accuracy and spatial-explicitness of this dataset allows important improvements in all following other analyses, particularly on resource and energy use, and as well as on environmental impacts of food production. We will build upon the current research of this consortium that developed the GSAP (Global Subnational Agricultural Production) database, covering the subnational regions of the vast majority of countries. Remaining agricultural products will be modelled based on other datasets and research of consortium members, such as the HESTIA.earth database, Cropgrids, and MapSPAM. Contributes to:
D1.1 (M18).
This task is linked to the following milestones: MS1.1 (M18).
Contributing 0.5PM to:
T1.2: Providing new-generation quantification of resource and energy use and eutrophying emissions in crop production
Lead: ETHZ (10PM).
Effort by contributors: SEI (5PM), ULEI (3PM), UOY (3PM), NILU (0.5PM). Timing: M6-36. Based on Task 1.1, we develop a detailed crop growth model using remote sensing based information in combination with growth and yield statistics for establishing more accurate inventory flows of crop production for key processes and biosphere exchanges. This allows us to add details on land use and land use change, with a special focus on tropical deforestation associated with food imports. Based on the detailed land use data, we will enhance water consumption estimates through an irrigation model (with increased level of detail based on previous work of the consortium). We will close the gap of detailed nutrient use and emission inventories, by enhancing fertiliser application models, differentiating artificial and organic fertiliser (for organic production) and model related N and P emissions. This also allows better estimating energy use in food supply chains due to fertiliser application. We extend model greenhouse / vertical farming production models to provide detailed information on land use, water consumption, heat and electricity demand, and material use. Contributes to:
D1.2 (M36).
Contributions in WP2
Contributing 5PM to:
T2.3: Improve the technological readiness of key datasets
Lead: UOY (5PM).
Effort by contributors: NILU (5PM), CNRS (3PM), DDS (3PM), ZHAW (3PM), ULEI (2PM), SEI (2PM), ETHZ (2PM), COOL (2PM). Timing: M22-34. To enhance uptake, we will develop recommendations for each tool/data provider based on the assessment of weaknesses and best practice examples (T2.2). We will actively disseminate findings to data providers, who will be invited to attend one-to-one discussion meetings with the project team. We will also host two workshops across multiple partners (covering the same topic, but split to allow attendance from more parties and deeper interaction) to encourage further sharing of best practice and ‘challenges’ in responding to recommendations. An academic publication will also be produced to share outcomes openly. For tools provided by project partners we will, via project funding, implement selected recommendations. This task contributes to D2.2 (M24), D2.3 (M32) and D2.4 (M34). Milestone: M2.2 (M28) Stakeholder workshops (M28); M2.3 (M28): Assessment of which internal tool/data provider recommendations will be implemented (M28). Contributes to:
D2.2 (M24), D2.3 (M32), D2.4 (M34).
This task is linked to the following milestones: MS2.2 (M28), MS2.3 (M28).
Contributing 1PM to:
T2.5: Launch an AI conversational agent (AICA) for food LCA supply chain and environmental impact info
Lead: INTEC (24PM).
Effort by contributors: ARBO (22PM), UOY (2PM), SEI (2PM), NILU (1PM), ULEI (1PM), ETHZ (1PM), CNRS (1PM), DDS (1PM). Timing: M26-46. We will develop a prototype AICA that answers user-posed questions in natural language about the impacts of the EU’s food system. It will utilise food linked LCA, footprint and other data developed within and outwith the project (incl. sources developed in WP1 and assessed in WP2), collated into a central structured database. Quantitative data will be complemented by information derived from research outputs (including outputs from WP3 and WP4) and other assessments. Training of the AICI will take place via development of common questions inspired by the EU’s policy context and the guidance received via stakeholders (WP5). We will undergo a thorough validation process, drawing on expertise from across the consortium. Iteration of the model based on feedback from the experts will take place before final production launch towards the end of the project. Contributes to:
D2.6 (M42), D2.7 (M42).
This task is linked to the following milestones: MS2.4 (M30), MS2.5 (M32), MS2.6 (M34).
Contributions in WP3
Contributing 2PM to:
T3.6: Tallying the environmental gains of novel food solutions at scale
Lead: ULEI (15PM).
Effort by contributors: UOXF (5PM), ETHZ (4PM), ZHAW (3PM), NILU (2PM), UOY (1PM). Timing: M35-48. EU-wide assessment of promising food system solutions identified in WP4 case studies (e.g. seaweed, in vitro meat, and spices), using standardised product and sector-specific effect sizes (from Task 4.8), will be undertaken to assess their impact mitigation potential for different European country when adopted at scale. Consumer and producer data (Task 3.3, 3.4, and 4.7), alongside industry-level insights on novel food solutions (Task 5.5), will inform adoption rates for consumer- and farmer-specific solutions proposed. Contributes to:
D3.3 (M44).
Contributing 1PM to:
T3.1: Integrate actor-level food consumption and production data to FABIO
Lead: ULEI (16PM).
Effort by contributors: ETHZ (2PM), NILU (1PM), UOY (1PM). Timing: M1-9. To identify consumer groups, we will use micro expenditure data from the Household Budget Survey to distinguish consumption patterns of households by income group and NUTS-2 regions. Equivalent disaggregation of macroeconomic agricultural production accounts using agricultural census data will be undertaken to distinguish the contribution of farmers to national food production by farm type, revenue, size and NUTS-2 region.
Contributions in WP4
Contributing 4PM to:
T4.5: Quantify the opportunity for gains from novel food solutions
Lead: NILUAB (11PM).
Effort by contributors: NILU (4PM), UOY (2PM), ULAT (2PM), BUW (2PM), ZHAW (2PM), ULEI (1PM), UOXF (1PM), HKR (1PM), TETRA (1PM). Timing: M1-49. This task will make concluding quantified assessment of credible pathways to reduce pollution from food production based on the case studies. Information of the food system interventions, their impacts and reduction potential across multiple environmental impacts will be described based on the result of task 4.2-3. The barriers and enabling factors will be identified and related to interventions which weaken and strengthen the impact reduction potential of good practices. The result will be used as an input to Task 3.6 where the consumption data for each European country will be added in order to expand the system result from individual food items to country level. Contributes to:
D4.5 (M44).
Contributing 3PM to:
T4.1: Case study preparation and coordination
Lead: NILUAB (5PM).
Effort by contributors: NILU (3PM), ULAT (2PM), UOXF (1PM), HKR (1PM). Timing: M1-49. This task will set the frames and the boundaries for the case studies in order to get credible pathways to reduce pollution from food production. This will be fulfilled by workshops and dialogs among the task leaders of the WP. This task also includes the coordination of the WP. Contributes to:
D4.1 (M12).
Contributing 3PM to:
T4.3: Exploring Solutions: Novel Business Cases for Efficient cold chains
Lead: BUW (15PM).
Effort by contributors: NILU (3PM), NILUAB (1PM). Timing: M1-48. This task will demonstrate the potential of decreasing carbon emission and realise sustainable development synergies of scaling international low-carbon cold chains. Building on existing and new data collected through existing partnerships with fishing cooperatives in Uganda and Kenya, this task models the fish export supply chain from East Africa to the EU to estimate its carbon footprint, and assesses different integrated cold chain and energy system design specifications to minimise carbon emissions and maximise local development benefits in Africa. This task also uses semi-structured interviews in East Africa and the EU to assess implementation pathways of different servitization-based business model innovations for increasing cold chain coverage in Africa. Contributes to:
D4.4 (M24).
Contributions in WP5
Contributing 1PM to:
T5.4: Standard uptake through engagement with the European Financial Reporting Advisory Group
Lead: CLIMCO (23PM).
Effort by contributors: GLOBE (2PM), NILU (1PM), NILUAB (1PM), ULEI (1PM), UOY (1PM), COOL (1PM). Timing: M1-48. DDMXX this should not appear since we should not re-initailize again in tasks.ts. To support EU disclosure regulation a continuous effort will be dedicated to integrating the insights acquired from this and adjacent portfolio projects into the development relevant sustainability reporting standard setters, including EFRAG and others, e.g. GRI and/or ISSB considering evolving policy contexts. Particular attention will be given to supporting European Sustainability Reporting Standards (ESRS), focussing on the sector-specific standards for the food and beverages sector. Two team members from Climate & Company are seconded to EFRAG’s writing team for the sector standards Agriculture, Farming and Fishing as well as Food and Beverages. They will be able to include significant insights from GREENGROCER into shaping the disclosure requirements of the latter. While EFRAG remains a key standard setter to engage, we recommend broadening our engagement to include other relevant standard setters, particularly GRI and potentially ISSB. This broadened approach is especially important considering the EU Commission’s Omnibus Proposal, which increases the relative relevance of voluntary, internationally recognized standards like GRI. Including those stakeholders, too, could enhance the project’s relevance and impact. The development of the Food and Beverages standard relies on leveraging scientific insights into the ESG impacts of food and beverage systems to formulate disclosure requirements that are both ambitious in addressing the needs of people and the planet, while also being practical and feasible for companies to report on. Furthermore, the insights of this project will help to create meaningful and comparable data that is used by financial institutions to make informed investment decisions, necessary for the sustainable transition. Milestones: M5.2 Introduction of GreenGrocer activities to the ESRS working group (M24). In this task we will create an online platform (exact format TBD) that will highlight and help match innovative solutions developed in the project and challenges and information gaps in sustainability disclosure field, especially within regard to the food sector. By explicitly showcasing both solutions and challenges, we can better match innovative approaches with existing needs and help project outputs to take policy needs into consideration more easily and timely. This platform would serve as an interface between solution providers (e.g. researchers from the project consortium) and those that need them (e.g. standard setters). While standard-setters (EFRAG and others) are an important audience, we envision the platform and its content being accessible and informative to a broader group, including companies aiming to improve their sustainability reporting and the financial sector developing financing solutions for the transition. Similarly, we could also showcase relevant solutions beyond the project through the platform. While active engagement by different groups directly on / through the platform would be valuable, the platform can also function as a resource for us to extract insights and share them with relevant contacts. Contributes to:
D5.3 (M22).
This task is linked to the following milestones: MS5.2 (M24).