The SEME Division analyses the transition to sustainability, helping identify and evaluate low carbon, sustainable strategies. The approach used is multidisciplinary, with strong use of quantitative methods based on data science, integrated modeling and experimental and behavioral economics.
Objectives
- Evaluate the low carbon transformation of the energy, land and climate sectors;
- Evaluate behavioural and traditional policy interventions for promoting pro-environmental behavior;
- Assess green innovation and its determinants;
- Study the interplay between various sustainable development goals;
- Identify robust policy strategies to climate risks and uncertainties;
- Identify technological and societal transition pathways;
- Study climate induced migration.
SEME Projects
The transition from linear to circular product value chains stands as one…
The global M4G project aims to provide a comprehensive framework for socio-economic…
SEME Publications
Model reduction of parametric ordinary differential equations via autoencoders: representation properties and convergence analysis
Ballini E., Gambarini M., Fumagalli A., Formaggia L., Scotti A., Zunino P.
2026, Mathematics in Engineering, doi: 10.3934/mine.2026013
Safeguarding macro-financial stability under carbon pricing and rapid energy transition
Fierro L.E., Reissl S., Lamperti F., Campiglio E., Drouet L., Emmerling J., Kremer E. , Tavoni M.
2026, Communications Earth & Environment, doi: 10.1038/s43247-026-03209-4
SEME Models
FASST(R) is a source receptor model, an R version of the reduced-form…
WITCH (World Induced Technical Change Hybrid) is an integrated assessment model designed…


