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 RE-CONNECT project is dedicated to assisting the 196 Parties committed to…
Despite the wide recognition of the complex interactions between trade (policy) and…
SEME Publications
CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach
Renna S., Granella F., Aleluia Da Silva Reis L., Schulz-Antipa P.
2025, Geoscientific Model Development, doi: 10.5194/gmd-18-2373-2025
The DSK stock-flow consistent agent-based integrated assessment model
Reissl S., Fierro L. E., Lamperti F., Roventini A.
2025, Ecological Economics, Volume 236, October 2025, 108641, doi: 10.1016/j.ecolecon.2025.108641
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…