Complex Events and Information Modelling (CEIM). Event modelling is a method of intelligent analyzing streams of information (data, percepts) about things that happen (events), and deriving conclusions from them. The goal of CEIM is to identify meaningful events and respond to them appropriately and quickly. We define the complexity of the event as both the complexity of the modelled physical phenomenon (fire, weather, chemical reaction, biological process) as well as the heterogeneity of the data (digital images, percepts, sensory data, natural language, semi-structured and structured data). In addition, the emphasis should be placed on the intelligent aspect of these models. This means that systems should semi- autonomously perceive their environment and take action. The workshop on Complex Events and Information Modelling provides an interdisciplinary forum for researchers and developers. The workshop is mostly intended for applications of Artificial Intelligence in Fire Safety domain, but we also encourage researchers from other fields: health care, smart buildings, ubiquitous computing, process mining and others. The workshop covers the whole range of theoretical and practical aspects, technologies and systems and aims at bringing together specialists for exchanging ideas and promote interdisciplinary discussions.