15 years of research and transfer

BCAM is the research center on applied mathematics created with the support of the Basque Government and the University of the Basque Country.

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At BCAM, we are dedicated to fostering the professional growth of all our team members. Discover our latest job offers to engage in international research projects.

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Events

BCAM actively engages in organising and hosting scientific activities for the scientific public and the general public. The topics, cover all areas of knowledge of the centre. 

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Latest news

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IPS

About the center

BCAM achieves outstanding success at NeurIPS 2025 with four accepted papers

NeurIPS is the world’s leading conference in artificial intelligence, machine learning, and computational sciences. Acceptance to NeurIPS is highly competitive, with only a small fraction of submissions selected after a rigorous peer-review process. This year’s success reflects the strength and…

phd_mcamarasa

BCAM people, About the center

Miguel Camarasa will defend his thesis on Monday, October 27th

The defence will take place at Salón de Grados, Faculty of Science and Technology (EHU - Leioa) at 10:00

montew. vertia

About the center

BCAM's Ikerbasque Research Associate Professor Santiago Mazuelas (Machine Learning) co-organized the Symposium on Mathematical Foundations of Trustworthy Learning in Switzerland

  • From October 12 to 16, 2025, BCAM researcher Santiago Mazuelas co-organized the Symposium on Mathematical Foundations of Trustworthy Learning, held at the Monte Verità Congress Center

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Research

BCAM researchers analyze crowd behavior, using San Mamés Stadium as a reference, to improve mobility management in mass events

  • A multidisciplinary team from the Basque Center for Applied Mathematics – BCAM has developed an innovative computational tool to study and optimize pedestrian mobility at mass eve

Latest publications

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Smoothed Dissipative Particle Dynamics for Mesoscale Advection-Diffusion-Reaction Problems

Echeverría, M.; Moreno, N.; Ellero, M. (2025-10-01)

Smoothed dissipative particle dynamics (SDPD) is a widely used particle-based method for modeling soft matter systems at mesoscopic and macroscopic scales, offering thermodynamic consistency and direct control over the fluid...

How particular is the physics of the free energy principle?

Aguilera, M.; Millidge, B.; Tschantz, A.; Buckley, C.L. (2022-03-01)

The free energy principle (FEP) states that any dynamical system can be interpreted as performing Bayesian inference upon its surrounding environment. Although, in theory, the FEP applies to a wide variety of systems, there ...

From the free energy principle to a confederation of Bayesian mechanics: Reply to comments on “How particular is the physics of the free energy principle?”

Aguilera, M.; Millidge, B.; Tschantz, A.; Buckley, C.L. (2023-03-01)

Recurrent, nonequilibrium systems and the Markov blanket assumption

Aguilera, M.; Buckley, C.L. (2022-09-29)

Markov blankets - statistical independences between system and environment - have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates...