CAFE (€501K, their largest project) focused on sub-seasonal prediction of extreme weather events using time series analysis and coherent structure detection.
Consorci Centre de Recerca Matematica
Spanish mathematics research centre applying advanced modelling to climate extremes forecasting, nanoscale heat transfer, and computational neuroscience.
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.
What they specialise in
NanoHeat applied mathematical modelling to nanoscale heat flow and phase change, while CAFE used mathematical methods for climate dynamics — showing consistent applied mathematics capability.
OSCBAGDIS studied oscillatory dynamics in basal ganglia disorders, applying dynamical systems mathematics to neurological conditions.
NanoHeat addressed heat flow and phase change at the nanoscale, a niche where mathematical modelling is essential for predicting material behaviour.
How they've shifted over time
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.
How they like to work
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.
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.
Highlights from their portfolio
- CAFELargest project (€501K), an MSCA training network on sub-seasonal climate extremes prediction — their most ambitious and applied initiative with the widest partner network.
- OSCBAGDISDemonstrates CRM's range by applying mathematical dynamics to basal ganglia neurological disorders — an unexpected pivot from a mathematics centre.
- NanoHeatTheir earliest H2020 project, showcasing core capability in mathematical modelling of physical phenomena at the nanoscale.