254 COmmunicating COmplexity C. Pérez-González, M. Colebrook, J.L. Roda-García, P. González Yanes, T. González Dos Santos, V. Plaza Martín TARO-ULL Research Group, Universidad de La Laguna C. Rosa Remedios Centro Coordinador de Emergencias y Seguridad 1-1-2 (CECOES) Analysis of incidents registered by the 1-1-2 Canarias emergency services by using data science techniques with the R software The study of alerts received in the emergency services is a very important issue in order to know different aspects of the time and spatial distribution of alerts in a given region. In particular, the Emergency and Security Coordinating Center (CECOES) 1-1-2 of the Government of the Canary Islands records detailed information about the incidents that are reported by the citizens through phone calls. Due to the high volume of information generated over the time in this process, it is needed to apply big data techniques to obtain statistical measures and results of interest. We have used the statistical software R and different libraries (Shiny, Highcharts, Highmaps) to present the data information in different interactive dashboards (time series charts to analyze the time evolution, geospatial representations of incidents density distribution, etc.). In this work we illustrate some of these charts that help the public authorities to study the incidents in the region during the last years. https://doi.org/10.25145/b.2COcommunicating.2020.029