SciTransfer
Organization

SOCIETE DE MATHEMATIQUES APPLIQUEES ET DE SCIENCES HUMAINES

Paris-based applied mathematics SME specializing in integrated assessment modelling for climate policy and sustainable energy investment metrics.

Technology SMEenvironmentFRSMENo active H2020 projectsThin data (2/5)
H2020 projects
3
As coordinator
0
Total EC funding
€153K
Unique partners
39
What they do

Their core work

SMASH is a Paris-based applied mathematics consultancy that specializes in quantitative modelling for energy and climate policy. They build and refine integrated assessment models that translate complex climate scenarios into decision-relevant outputs for policymakers and financial institutions. Their work bridges mathematical modelling with socio-economic analysis — helping projects quantify distributional impacts of decarbonisation pathways and develop sustainability metrics for investment decisions.

Core expertise

What they specialise in

Sustainable energy investment metricssecondary
1 project

Participated in SEI Metrics developing benchmarks and assessment tools for the financial sector.

Distributional impact analysis of climate policiesemerging
1 project

NAVIGATE project explicitly targets distributional impacts and transformative change modelling.

Applied mathematics for socio-economic modellingprimary
3 projects

Organization name and consistent involvement across all three projects point to mathematical modelling as their foundational capability.

Evolution & trajectory

How they've shifted over time

Early focus
Sustainable energy finance metrics
Recent focus
Climate integrated assessment modelling

SMASH entered H2020 through sustainable finance, developing energy investment metrics and benchmarks (SEI Metrics, 2015-2018). Their focus then shifted toward climate modelling and decarbonisation policy, moving from financial tools to integrated assessment models in DEEDS and NAVIGATE (2017-2023). This trajectory shows a clear migration from applied finance analytics toward deeper climate science modelling with policy relevance.

SMASH is moving from financial benchmarking toward next-generation climate models that incorporate social equity and transformation dynamics — positioning them at the intersection of climate science and policy design.

Collaboration profile

How they like to work

Role: third_party_expertReach: European15 countries collaborated

SMASH operates almost exclusively as a supporting expert rather than a project leader — they coordinated zero projects and participated mainly as a third party (2 of 3 projects). Despite their small footprint, they connect into large consortia averaging 13+ partners across 15 countries, suggesting they are brought in for specialized mathematical modelling capabilities. Their role pattern indicates they are a trusted niche contributor that larger teams call upon for quantitative analysis.

Despite only three projects, SMASH has touched 39 unique consortium partners across 15 countries, reflecting a broad European network built through large-scale climate and energy research consortia.

Why partner with them

What sets them apart

SMASH occupies a rare niche: a private SME that provides applied mathematics expertise to large climate research consortia. Most integrated assessment modelling sits within universities or large research institutes, making a lean, specialized consultancy an unusual and flexible partner. Their ability to bridge quantitative modelling with human sciences (as their name suggests) makes them valuable for projects that need rigorous models but also socio-economic interpretation of results.

Notable projects

Highlights from their portfolio

  • NAVIGATE
    Flagship EU project building next-generation integrated assessment models for climate policy — SMASH contributed as a third-party modelling expert in a large international consortium (2019-2023).
  • SEI Metrics
    SMASH's only project as a direct participant and sole source of their EC funding (EUR 152,875), focused on creating investment metrics that bridge climate science and financial decision-making.
Cross-sector capabilities
Energy policy and transition modellingSustainable finance and ESG metricsSocio-economic impact assessmentPolicy design and scenario analysis
Analysis note: Limited data: only 3 projects with 2 as third party (no direct EC funding reported for those). Keywords are available only for the most recent project (NAVIGATE). The organization's name strongly suggests applied mathematics and social science modelling expertise, but the project data alone provides a thin evidence base. Profile should be treated as indicative rather than definitive.