We are seeking to establish a collaborative partnership to develop and implement data-driven solutions that enhance evidence-based policymaking, with a particular focus on evaluating and improving the performance of the Common Agricultural Policy (CAP). Our cooperation interest lies in leveraging advanced data collection, integration, and analytical capabilities to generate reliable indicators that accurately reflect the impacts of CAP measures on agricultural sustainability, productivity, and socio-economic outcomes. By combining robust datasets with cutting-edge analytics, we aim to strengthen policy monitoring and evaluation frameworks, enabling policymakers to make more informed decisions while reducing administrative burdens for end-users.
Our approach emphasizes the improvement of current national assessment methodologies by aligning them with European Union standards and best practices. This includes the integration of heterogeneous datasets from farm-level observations, regional monitoring systems, and national statistical sources, ensuring high data quality, comparability, and interoperability. Through these efforts, we aim to provide policymakers with timely, actionable insights that support adaptive and responsive agricultural governance.
We are particularly interested in developing tools that allow for user-friendly access and application of policy evaluation outputs. By designing decision support systems and analytical platforms that can be utilized directly by administrators, advisors, and other stakeholders, we aim to enhance the usability and practical relevance of policy data. Reducing the administrative burden on end-users and enabling seamless integration with their existing decision-making workflows are core objectives of our cooperation.
A key dimension of our proposed collaboration is the multi-actor, user-centric approach. We aim to actively engage farmers, advisors, policymakers, technology providers, and other stakeholders throughout the project lifecycle. By co-designing indicators, analytical tools, and evaluation frameworks with end-users, we ensure that solutions are both scientifically rigorous and practically applicable. Real-world use cases will be integrated to validate methodologies and demonstrate tangible benefits in policy implementation, promoting adoption and impact at local, regional, and EU levels.
ARDEM’s expertise in agricultural data analysis, AI and machine learning, and policy evaluation positions us to contribute strategically to such initiatives. We have extensive experience in designing data-driven tools, integrating heterogeneous datasets, and applying advanced analytical techniques to generate evidence-based insights for decision-making.

ARDEM is a technology-driven and research-oriented organization dedicated to advancing digital transformation and innovative solutions in agriculture. Our mission is to leverage cutting-edge technologies, advanced data management, and artificial intelligence to address key challenges in agricultural sustainability, productivity, and climate adaptation, while supporting evidence-based policymaking at regional, national, and European levels.
Our core expertise encompasses agricultural data analysis, including the collection, integration, and interpretation of heterogeneous datasets such as environmental, crop, soil, climate, and socio-economic data. By combining farm-level observations, remote sensing data, and national and European statistical sources, ARDEM generates actionable insights that support informed decision-making, improve resource efficiency, and enhance overall farm and sector-level performance.
In the area of artificial intelligence and machine learning, ARDEM develops predictive models and analytical tools that process complex, multi-dimensional datasets to optimize crop management, forecast risks, and support scenario planning. Our AI applications are designed according to FAIR (Findable, Accessible, Interoperable, Reusable) data principles, ensuring transparency, reproducibility, and interoperability, and enabling seamless integration with broader digital ecosystems and policy frameworks.
ARDEM is also highly experienced in promoting sustainable farming practices. We support climate-smart agriculture, resource-efficient management, biodiversity conservation, and resilient agroecosystems. By integrating digital and AI-driven solutions into precision agriculture, soil and water management, pest control, and carbon footprint reduction strategies, we aim to balance productivity with environmental and socio-economic sustainability.
Another key focus area is policy evaluation and decision support. ARDEM develops analytical frameworks, indicators, and decision-support platforms to assess the performance of agricultural policies, including the Common Agricultural Policy (CAP), enabling policymakers to make evidence-based, timely decisions while reducing administrative burdens for end-users.
ARDEM has extensive experience in international collaborations and multi-disciplinary projects, working with agronomists, data scientists, software developers, technology providers, and policymakers. This allows us to co-create innovative solutions that are scientifically rigorous, practically relevant, and scalable across diverse agricultural systems.
We emphasize a multi-actor, user-centric approach, engaging farmers, advisors, administrators, and other stakeholders throughout project design, implementation, and evaluation. By integrating real-world use cases, we ensure that project outcomes are validated in practice, scalable, and capable of delivering tangible benefits for end-users and the broader agricultural community.