Situational Analytics

The aim of the project is to develop methods and technologies to filter, combine and interpret the vast amounts of information coming from various sources, such as (autonomous) sensors, in order to continuously provide up to date situational awareness tailored to the context of the person/role/organization at hand.

In the desired situation, many data sources, (autonomous) sensors (including humans) provide a diverse and immense set of information. All this information is then gathered, filtered and pre-assessed autonomously in such a way that the situational awareness of the requestor is as rich as possible and relevant to the decision at hand.

The project will answer the following research questions:
• How can, in an automated way, real-time (sensor) information from various sources be combined, assessed and presented using situational analytics methods to create a comprehensive situational awareness;
• How can, in an automated way, real-time (sensor) information be used to calculate risks & opportunities and predict future situations to support effective and efficient decision making;
• How can, in an automated way, (sensor) information be tailored to a specific context/person, and how can this context be derived.

Partner

Team

Alessandro Zonta
PhD Student

Alessandro Zonta

Prof. dr. Guszti Eiben
Head of the Group

Prof. dr. Guszti Eiben