Sustainable Earth Modelling Economics

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.


  • 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

  • ENGAGE - Exploring National and Global Actions to reduce Greenhouse gas Emissions

    ENGAGE is a project funded by the European Union’s Horizon 2020 programme…

  • CASCADES - CAScading Climate risks: towards ADaptive and resilient European Societies

    CASCADES project strives to understand the conditions under which climate risks propagate…

  • SICAB - Sino Italian capacity building for environmental protection

    The project is dedicated to high-level training services in the fields of…

  • SEME Publications

    Connecting climate action with other Sustainable Development Goals

    Fuso Nerini F., Sovacool B., Hughes N., Cozzi L., Cosgrave E., Howells M., Tavoni M., Tomei J., Zerriffi H., Milligan B.
    2019, Nature Sustainability, Vol. 2, pages 674–680, DOI: DOI:, web page

    Analysing Energy Innovation Portfolios from a Systemic Perspective

    Kim Y. J. , Wilson C.
    2019, Energy Policy, 134, 110942, DOI: DOI:, web page

    Human Migration in the Era of Climate Change

    Cattaneo C., Beine M., Fröhlich C.J., Kniveton D., Martinez-Zarzoso I., Mastrorillo M., Millock K., Piguet E., Schraven B.
    2019, Review of Environmental Economics and Policy, Volume 13, Issue 2, Summer 2019, Pages 189–206, DOI: DOI:, web page

    SEME Models

  • FASST(R) - FAst Scenario Screening Tool

    FASST(R) is a source receptor model, an R version of the reduced-form…

    Cities & Coasts, Future Earth.

  • WITCH - World Induced Technical Change Hybrid model

    WITCH (World Induced Technical Change Hybrid) is an integrated assessment model designed…

    Energy, Future Earth, Global Policy, Inequalities.

  • Division Director

    Massimo Tavoni

    Division Manager


    Via Bergognone, 34 – 20144 Milano (MI)

    Research Units

    Research unit leader:
    Giovanna D’Adda

    – Behavioural change
    – Nudging
    – Impact evaluation
    – Behavioural policies

    Research unit leader:
    Cristina Cattaneo

    – Climate induced migration
    – Conflict
    – Skills

    Research unit leader:
    Elena Verdolini

    – Green patenting
    – Low carbon R&D
    – Learning curves
    – Energy system modelling
    – Induced technical change

    Research unit leaders:
    Johannes Emmerling and Laurent Drouet

    – IAM scenarios
    – International mitigation policies
    – Modelling of impacts and adaptation
    – Energy system modelling
    – Inequality

    RFF-CMCC European Institute on Economics and the Environment leverages two leading international centers for economic and environmental research: Resources for the Future – RFF, Euro-Mediterranean Center on Climate Change – CMCC.

    Latest News

    The costs of climate inaction for Italy

    Without climate action, Italian GDP will drop more than 8% and regional inequalities will more than double. A new study…

    Achieving the Sustainable Development Goals Through Sustainable Food Systems

    A new book presents main challenges in the food system and proposals for achieving long term sustainability in the context…

    Climate change affects banks and causes a 20% of growth rates reduction

    A new study published on the prestigious journal Nature Climate Change highlights how climate-related damages impact on the stability of…

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