SciTransfer
Organization

Consorci Centre de Recerca Matematica

Spanish mathematics research centre applying advanced modelling to climate extremes forecasting, nanoscale heat transfer, and computational neuroscience.

Research instituteenvironmentESSMENo active H2020 projectsThin data (2/5)
H2020 projects
3
As coordinator
3
Total EC funding
€830K
Unique partners
19
What they do

Their core work

CRM is a Barcelona-area mathematics research centre that applies advanced mathematical modelling to real-world physical phenomena. Their H2020 work spans nanoscale heat transfer modelling, mathematical analysis of neurological disorders (basal ganglia oscillations), and climate forecasting of extreme weather events. They bring rigorous mathematical and statistical methods — time series analysis, dynamical systems theory — to problems that other disciplines struggle to solve computationally.

Core expertise

What they specialise in

Climate and weather extreme forecastingprimary
1 project

CAFE (€501K, their largest project) focused on sub-seasonal prediction of extreme weather events using time series analysis and coherent structure detection.

Mathematical modelling of physical systemsprimary
2 projects

NanoHeat applied mathematical modelling to nanoscale heat flow and phase change, while CAFE used mathematical methods for climate dynamics — showing consistent applied mathematics capability.

Computational neurosciencesecondary
1 project

OSCBAGDIS studied oscillatory dynamics in basal ganglia disorders, applying dynamical systems mathematics to neurological conditions.

Nanoscale thermal modellingsecondary
1 project

NanoHeat addressed heat flow and phase change at the nanoscale, a niche where mathematical modelling is essential for predicting material behaviour.

Evolution & trajectory

How they've shifted over time

Early focus
Nanoscale mathematical modelling
Recent focus
Climate extremes and neuroscience

CRM's early H2020 work (2016) centred on pure applied mathematics — modelling nanoscale heat transfer (NanoHeat). By 2019, they shifted strongly toward data-driven environmental science (CAFE) and biomedical dynamics (OSCBAGDIS), applying their mathematical core to higher-impact societal challenges. The move toward climate extremes prediction, with explicit keywords around sub-seasonal predictability and weather patterns, signals a deliberate pivot from physics-scale modelling to Earth-system-scale forecasting.

CRM is moving from abstract applied mathematics toward high-impact domains — climate risk and brain dynamics — where their mathematical methods address urgent forecasting and prediction needs.

Collaboration profile

How they like to work

Role: consortium_leaderReach: European5 countries collaborated

CRM exclusively coordinates their H2020 projects — all three were led by them, suggesting strong project management capability and confidence in defining research agendas. Their largest project (CAFE, MSCA-ITN) involved a training network with 19 consortium partners across 5 countries, showing they can organize multi-partner initiatives. For a relatively small research centre, leading every project rather than joining as a partner indicates they attract talent and set directions rather than follow.

CRM has built a network of 19 unique partners across 5 countries, primarily through their MSCA training network CAFE. Their partnerships are European in scope, centred around the Mediterranean and Western Europe research ecosystem.

Why partner with them

What sets them apart

CRM occupies a rare niche: a dedicated mathematics research centre that consistently applies rigorous mathematical frameworks to diverse applied domains — from nanophysics to climate to neuroscience. Unlike university maths departments, they function as an independent research hub that can anchor interdisciplinary consortia. Their ability to be the mathematical engine for problems across very different fields makes them a versatile and unusual partner for any consortium needing serious quantitative modelling.

Notable projects

Highlights from their portfolio

  • CAFE
    Largest project (€501K), an MSCA training network on sub-seasonal climate extremes prediction — their most ambitious and applied initiative with the widest partner network.
  • OSCBAGDIS
    Demonstrates CRM's range by applying mathematical dynamics to basal ganglia neurological disorders — an unexpected pivot from a mathematics centre.
  • NanoHeat
    Their earliest H2020 project, showcasing core capability in mathematical modelling of physical phenomena at the nanoscale.
Cross-sector capabilities
health (computational neuroscience and brain dynamics modelling)energy (nanoscale thermal management and phase change modelling)digital (time series analysis and statistical prediction methods)society (extreme weather risk assessment and climate adaptation)
Analysis note: Profile based on only 3 H2020 projects (all MSCA fellowships/networks), providing limited insight into CRM's full capabilities. As a well-established mathematics centre, their broader expertise likely extends well beyond what these three projects reveal. Early-period keyword data was empty, so evolution analysis relies on project titles and dates rather than robust keyword comparison.