Dear Colleagues, Friends and Fellow Chemometricians,
We are pleased to announce that the 12th edition of the Colloquium Chemiometricum Mediterraneum (CCM2025) will take place on the island of Porquerolles (France) between September 9th and 12th 2025.
The origin of the Colloquium Chemiometricum Mediterraneum (CCM) traces back to 1986 when, during an international conference, several French, Spanish and Italian researchers, each one speaking their own mother tongue, managed to share their own experience in the fields of chemometrics and multivariate data analysis. This was the seed from which the CCM sprang together with one of its main characteristics: the official languages of the conference are all Romance or Neo-Latin languages as well as English.
The past editions of CCM were held in Barcelona (Spain) in 1987, in San Miniato (Italy) in 1991, in Bastia (France) in 1994, in Burgos (Spain) in 1998, on the island of Ustica (Italy) in 2003, in Saint-Maximin-La-Sainte-Baume (France) in 2007, in Granada (Spain) in 2010, in Bevagna (Italy) in 2013, in Arles (France) in 2017, on the island of Menorca (Spain) in 2019 and in Padova (Italy) in 2023.
CCM constitutes a unique scientific forum where new advances in chemometrics are presented and discussed, and where French, Spanish, Portuguese and Italian chemometricians can express themselves in their own languages exchanging knowledge on cutting-edge developments. All over the last four decades, CCM has vastly promoted international collaborations and provided international exposure especially to students and young researchers.
CCM2025 will welcome contributions on - among others - topics like:
algorithm development;
calibration;
Design of Experiments (DoE) and system optimisation;
image analysis and hyperspectral imaging;
multivariate analysis of variance;
multivariate curve resolution;
multiway and multiset data analysis;
pattern recognition;
Process Analytical Technology (PAT) and process data analysis;
qualimetrics and chemical metrology;
Quantitative Structure-Activity Relationships (QSAR) and Quantitative Structure-Property Relationships (QSPR).
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