Mathematics is at the heart of evidence-based decision support; however, any decision requires data collection, data and signal processing, communications and communication systems to reduce cognitive burden for the decision maker and improve decision making. It is also increasingly common for AI to play a role in summation and processing, meaning that evidence is even more varied in its utility and applicability. This conference will explore both the state of the art in terms of data curation, signal processing, communication and AI to support decision making as well as looking at the impact of these systems on cognitive load. Importantly this conference will focus on research that can start to explore the confluence of these areas in order to underpin decision making in a rigorous and integrated system. As mathematics begins to underpin more of the decision-making process, so it becomes more important that that mathematics is integrated and focussed on providing understandable evidence to the decision maker. Therefore, how the mathematical evidence is then communicated becomes as important as how the mathematics is undertaken.