AEGIS — Smart Specialization Platform
Decision-support dashboard for the intelligent economic specialization of localities, developed by Holisun within the COSA project.
About the platform
AEGIS is a decision-support dashboard developed by Holisun within the COSA project to analyze and identify intelligent economic specialization at the local level. The platform combines machine-learning classification with Markov-chain modeling of proximity contagion to discover the latent economic profile of administrative units and how specialization patterns diffuse across neighboring localities.
AEGIS provides a quantitative, data-driven foundation for regional development and smart specialization strategies, supporting policy-makers, regional agencies, and economic development actors in aligning their interventions with each territory’s actual potential.
Key capabilities
- Automatic classification of localities based on economic specialization profiles.
- Visualization of proximity-contagion patterns between neighboring localities.
- Recommendations for smart-specialization strategies at the regional level.
- Dashboard interface combining maps, indicators, and trend views.
Demo access
Team and partner
Lead developer: Laura Andreica. Research team: Oliviu Matei, Ioan Alin Danci, Anca Avram, Bogdan Văduva, Faragău Tudor.
Related publications
- M. Gustavsson, O. Matei, L. Andreica, A. H. Lundkvist, D. P. Thunqvist, «Design of a collaborative network for mapping digital skills for Industry 5.0,» PRO-VE 2024.
- O. Matei, L. Andreica, I. A. Danci, A. Avram, B. Văduva, «Using Markov chains for determining the proximity contagion of smart specialization of localities,» SOCO 2024.
- O. Matei, L. Andreica, I. A. Danci, A. Avram, T. Faragău, «Using Machine Learning for Identifying the Intrinsic Economic Specializations of Localities,» SOCO 2024.
- O. Matei, L. Andreica, T. Faragău, «Using Automation and Artificial Intelligence in the Management of European Social Fund Projects,» ProjMAN 2025.
- O. Matei, L. Andreica, T. Faragău, «Benefits and limitations of digitalization in managing European Social funded projects,» ProjMAN 2025 (Poster).
Publications related to AEGIS Smart Specialization
Using Automation and Artificial Intelligence in the Management of European Social Fund Projects
Using Automation and Artificial Intelligence in the Management of European Social Fund ProjectsMatei Oliviu, Laura Andreica, Faragău Tudor Abstract. The management of European Social Fund (ESF) projects is characterized by complex reporting, monitoring and compliance...
Benefits and limitations of digitalization in managing European Social funded projects
Benefits and limitations of digitalization in managing European Social funded projectsMatei Oliviu, Laura Andreica, Faragău Tudor Abstract. Digitalization is widely promoted as a solution for the administrative complexity of European Social Fund (ESF) projects, yet...
Design of a collaborative network for mapping digital skills for Industry 5.0
Design of a collaborative network for mapping digital skills for Industry 5.0Maria Gustavsson, Oliviu Matei, Laura Andreica, Agneta Halvarsson Lundkvist, Daniel Persson Thunqvist Abstract. The transition to Industry 5.0 brings new demands for the workforce, where...
Using Markov chains for determining the proximity contagion of smart specialization of localities
Using Markov chains for determining the proximity contagion of smart specialization of localitiesOliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Bogdan Văduva Abstract. Smart specialization strategies depend on understanding how economic specialization...
Using Machine Learning for Identifying the Intrinsic Economic Specializations of Localities
Using Machine Learning for Identifying the Intrinsic Economic Specializations of LocalitiesOliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Faragău Tudor Abstract. Identifying the intrinsic economic specialization of localities is a key step in the design of...