Time-series analysis is one of keys opening towards the future for marine sciences and industry to understand ocean processes and their dynamics. It not only helps identifying the phenomenon represented by sequences of observations, but also helps forecasting events by feeding models. Thanks to technological progress, marine scientists are benefiting from longer and longer data timeseries with higher acquisition frequency, but they are also challenged by the need to optimize the analysis of these time-series in the face of the increasing amount of data. These considerations raised the idea that sharing time-series analysis methods across marine science topics would help scientists and engineers to improve their knowledge of existing methods, optimize the data analysis, and help scientists in improving scientific results. Consequently, the purpose of this conference was to bring together the scientific community and research activities across fields in marine science (physical oceanography, marine chemistry, marine biology, ecology and geology) to foster interactions and collaborations focused on a common topic: time-series analysis methods. Starting by a 2-day training course and followed by a 3-day scientific conference, this event promoted transfer of knowledge between researchers from several fields. Both training courses and conference presentations were mainly based on application examples and case studies from field experiments.