Research projects
TOOLS4CAP
[2023 – 2027]
Innovative tools to support CAP Strategic Plans
Budget: € 4 million. Horizon Europe funded
My roles and responsibilities: Model development; Scenario analysis; Policy insights; Research papers drafting
Workload: 3 person-months
The New Delivery Model established by Regulation EU 2115/2021 will bring significant changes to the EU’s Common Agricultural Policy (CAP) governance. Specifically, it will introduce Strategic Plans and new monitoring, review and evaluation requirements. The EU-funded Tools4CAP project will support the implementation of National Strategic Plans 2023–2027 and lay the foundations for a sound preparation of Post-2027 Strategic Plans. Establishing a flexible and participatory Coordination and Support Action, the project will promote learning, exchange processes and adoption of innovative solutions and good practices for the design, monitoring, and evaluation of CAP Strategic Plans. Tools4CAP will deliver a comprehensive inventory of tools, methodological guidelines on innovative solutions and a handbook of good practices.
MINDSTEP
[2019 – 2023]
Modelling Individual Decisions to Support European Agricultural Policies
Budget: € 4 million. H2020 EU funded
My roles and responsibilities: JRC coordinator in the consortium; IFM-CAP modeler; Drafting policy scenario publications; Presentations in stakeholder meetings
Workload: 10 person-months
MINDSTEP improves the exploitation of agricultural and biophysical data by integrating the individual decision-making unit (IDM) into policy models. Based on a common data framework, the project develops IDM models—including agent-based models—focusing on regional case studies through integrated approaches. The models are calibrated using agricultural statistics, large datasets, econometric methods, machine learning techniques, and behavioural economics. Close cooperation with stakeholders ensures co-creation and application of the MINDSTEP toolbox to regional, national, and EU-level policy cases.
FP ADOPTION
[2023 – 2023]
Building an agro-economic database on eco-scheme farming practices
Budget: € 113,000. Funded by the JRC Unit D4 (Economics of the Food System)
My role and responsibilities: Project manager
Workload: 3 person-months
The project builds a detailed agro-economic database of eco-scheme-related practices across the EU to strengthen modelling capacity for CAP impact assessments. Against the EU’s 2030 sustainability targets, the project examines how the adoption of new practices affects farm economics. Tasks include expert identification, data collection methodologies, database construction, and simulation of economic and environmental effects. Deliverables include an expert database, methodological report, collected questionnaires, and a dataset of farming practices.
SUPREMA
[2018 – 2020]
Support for Policy Relevant Modelling of Agriculture
Budget: € 1 million. H2020 EU funded
My roles and responsibilities: IFM-CAP modeler; Drafting policy scenario publications; Presentations in stakeholder meetings
Workload: 3 person-months
SUPREMA addresses the evolving needs of agricultural policy analysis by developing a meta-platform supporting interconnected modelling groups. It aligns modelling tools with diverse policy objectives, develops a roadmap for future modelling, strengthens the SUPREMA model family, explores advanced modelling approaches, and integrates results into a meta-platform accessible to research communities and policymakers.
MAGIC
[2018 – 2018]
Marginal Lands for Growing Industrial Crops
Budget: € 5.999 million. H2020 EU funded
My role and responsibilities: Policy recommendations; Best-practice guidelines; Cost analysis of energy crops on marginal land
Workload: 10 person-months
MAGIC explores the potential of industrial crops grown on marginal lands, aiming for sustainable, resource-efficient, and economically viable production systems. It develops an extensive database, catalogs existing industrial crops and their agronomic traits, maps marginal lands in Europe, and identifies best practices. The project engages farmers and end-users through a decision support system and investigates innovative breeding tools and improved biomass logistics.
CAP SP CONSULTANT
[2017 – 2018]
Consultancy for the Greek Ministry of Agriculture – CAP 2020/25 Strategic Plan
Budget: € 150,000. Funded by the Greek Ministry of Agriculture
My role and responsibilities: Modelling policy scenarios for convergence and redistribution options
Workload: 2 person-months
Consultancy services supporting the preparation and implementation of Greece’s CAP 2020/25 strategic plan. Work included scenario modelling of alternative redistribution and convergence options to support planning and decision-making.
PILOTEC
[2006 – 2008]
Pilot projects supporting ex-tobacco producers in cultivating energy crops
Budget: € 500,000. Funded by the Greek Payment and Control Agency (Tobacco Fund)
My role and responsibilities: Project coordination; Data analysis; Model development; Statistical analysis
Workload: 26 person-months
The project facilitated the transition of tobacco producers in Aetolia-Acarnania, Karditsa, and Kilkis to energy crop cultivation. It analyzed farms, evaluated the complexity of production systems, and assessed the profitability of various energy crops under multiple policy scenarios. In collaboration with the University of Thessaly, it produced cost assessments, developed optimal production plans, and implemented a web-based decision support system integrating economic modelling and geographical data.
HYDROSENSE
[2006 – 2006]
Precision technologies for optimized irrigation and crop management
Budget: € 1.693 million. LIFE EU funded
My role and responsibilities: Data analysis; Model development
Workload: 1 person-month
HYDROSENSE aimed to improve water, fertilizer, and pesticide efficiency in Mediterranean cotton production using precision agriculture and proximal remote sensing technologies. It generated data and tools for evaluating economic effectiveness and scalability, and included training and dissemination activities to promote adoption across the region.