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Agroecology
Call 3
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Gabriela Dobrita (Ene)
Romania
Bucharest University of Economic Studies
University
RAG, Generative AI, Machine Learning, Data Processing, Explainable AI (XAI) for advisory systems
Strengthening farmers’ involvement and empowerment in the transition towards agroecology
On behalf of the research team leaders, Prof. Adela Bara and Prof. Simona Oprea (h-index 20), I represent a research team from the Bucharest University of Economic Studies (ASE), within the Department of Economic Informatics and Cybernetics. We are currently seeking to join a consortium preparing a proposal under the AgroEcology call.
Our team has strong expertise in Generative AI, Large Language Models, RAG-based applications, data management, big data, blockchain, data science, data technologies, machine learning (including RNN-based models), forecasting, anomaly detection, and optimization.
Our competence and track record are demonstrated through several research projects coordinated in recent years, funded by competitive programs such as CETP 2022, DUT 2022, ERA-MIN3 2022, ERA-NET (H2020) SMART-MLA, and the European Regional Development Fund (ERDF).
If you are planning to set up a consortium for the AgroEcology call and believe our expertise would be a good match, please let us know. We would be pleased to discuss potential roles and contributions and to share relevant project references upon request
Our team has strong expertise in Generative AI, Large Language Models, RAG-based applications, data management, big data, blockchain, data science, data technologies, machine learning (including RNN-based models), forecasting, anomaly detection, and optimization.
Our competence and track record are demonstrated through several research projects coordinated in recent years, funded by competitive programs such as CETP 2022, DUT 2022, ERA-MIN3 2022, ERA-NET (H2020) SMART-MLA, and the European Regional Development Fund (ERDF).
If you are planning to set up a consortium for the AgroEcology call and believe our expertise would be a good match, please let us know. We would be pleased to discuss potential roles and contributions and to share relevant project references upon request
ASE Bucharest (The Bucharest University of Economic Studies) is one of Romania’s leading public universities in the fields of economics, business, management, and public administration. Located in the capital city, it serves as a major academic and research hub, educating a large and diverse student body across undergraduate, master’s, and doctoral programs.
The university is structured into multiple specialized faculties and research centers that support both fundamental and applied research in areas such as finance, accounting, marketing, entrepreneurship, business informatics, international economic relations, statistics, and economic cybernetics. Through academic partnerships, professional networks, and collaborations with industry and public institutions, ASE Bucharest promotes innovation, knowledge transfer, and practical relevance in economic and social development.
ASE Bucharest is known for its strong emphasis on analytical and quantitative approaches, encouraging the use of modern methods such as data analytics, econometrics, and digital technologies in research and education. Its academic community contributes to scientific publications, conferences, and policy-relevant studies, while also supporting student involvement in research projects and international mobility programs.
The university is structured into multiple specialized faculties and research centers that support both fundamental and applied research in areas such as finance, accounting, marketing, entrepreneurship, business informatics, international economic relations, statistics, and economic cybernetics. Through academic partnerships, professional networks, and collaborations with industry and public institutions, ASE Bucharest promotes innovation, knowledge transfer, and practical relevance in economic and social development.
ASE Bucharest is known for its strong emphasis on analytical and quantitative approaches, encouraging the use of modern methods such as data analytics, econometrics, and digital technologies in research and education. Its academic community contributes to scientific publications, conferences, and policy-relevant studies, while also supporting student involvement in research projects and international mobility programs.