Understanding socio-technical transitions and territorial changes to enhance sustainability and resilience in agrifood and forest systems, rural areas, and urban green spaces. This involves supporting rural-urban sustainability initiatives, co-creation, and the sharing of best practices.
Analyzing socio-economic policies, challenges of internationalization, and the alignment between policies and the demands of labor and export markets in Low Density Territories.
Studying migrations to and from rural and low-density territories involves examining forced migrants’ reception, integration, and the socio-cultural and economic dimensions of migrations, while accounting for policy and intervention instruments and the evolving changes in these territories.
Investigating how territorial governance, decentralization processes, and the reconfiguration of institutional and local social services contribute to enhancing place-based well-being and community cohesiveness.
Theoretical and Conceptual Structures
Sociotechnical transitions and multilevel approach (MLP)
Social-ecological systems
Spatial econometric models
Intersectional approaches and recognition theory
Migration theory
Social capital theory
Methodological Approaches
Mixed methods (case study, qualitative and quantitative research)
Spatial analysis and modeling
Sociotechnical scenarios and other participatory deliberative approaches
Ethnographic methods
Participatory and collaborative methods
Transdisciplinary methodology including Living Lab approaches
Main Contributions
Develop new tools to address complex socio-demographic issues and design place-based policies, including strengthening social capital through collaboration and social innovation;
Foundation for enhancing territorial competitive sustainability amidst global trends, challenges, and crises;
Co-creation of place-based solutions in territorial governance to enhance connectivity and address mismatches in cohesiveness resulting from diverse community dynamics related to global and micro-level population flows.
