The 12th International Recurrence Plot Symposium will be in Maastricht, the Netherlands, in August 2027.
Recurrence plots and recurrence quantification analysis (RQA) offer a powerful framework for uncovering structural patterns in time series and spatial data from complex dynamical systems. They enable the detection of transitions, stability changes, and regime shifts even in noisy, nonstationary, or short observations — conditions typical for real-world data.
Recent developments increasingly connect recurrence-based methods with data-driven approaches and machine learning. Recurrence representations are being used as feature spaces for classification, prediction, and anomaly detection, while hybrid approaches combine dynamical systems insight with modern learning algorithms. These developments open new avenues for analysing high-dimensional, irregular, and uncertainty-affected data.
Applications continue to expand across disciplines including biology, neuroscience, physics, geosciences, engineering, economics, and the social sciences.
The meeting will be highly interdisciplinary, with particular emphasis on applications in medicine, life sciences, physics, and engineering. We welcome contributions addressing methodological advances and real-world challenges of recurrence analysis, especially for noisy, short, or incomplete datasets. Topics of interest include uncertainty-aware recurrence analysis, coupled systems (cross- and joint-recurrence), recurrence networks, and hybrid recurrence–machine learning approaches.
The symposium will be held August 18 to 20, 2027, at the Department of Advanced Computing Sciences, Faculty of Science and Engineering, Maastricht University (UM).
Invited speakers
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The series of international recurrence plot workshops and symposia started 2005 in Potsdam (Germany) and are organized every other year. More information on past events can be found in the section Previous events.
Organizing Committee
Prof. Dr. Ralf Peeters
(Maastricht University)
Dr. Martijn Boussé
(Maastricht University)
Prof. Dr. Norbert Marwan
(Potsdam Institute for Climate Impact Research)
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