In an increasingly connected and complex world, we need to optimise our use of rich and diverse data sets to inform decision makers in a timely manner. As the types and volumes of information available to the commander increase, this will place a greater importance on tools and techniques to collate, synthesise and visualise information in a timely and understandable way so that it can be readily acted upon. Different sources will have different degrees of assurance but combining multiple information sources greatly increases the robustness of the analysis – although we need to be able to show levels of certainty/uncertainty within the analysis.
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Data Intensive Visual Analytics can help address the data deluge by helping decision makers to rapidly reach informed and effective decisions in a range of situations. This exploratory project will apply DIVA to defence...
Funded by: EPSRC
Lead research organisation: City, University of London
The project addresses the question fully and the authors have the necessary expertise.
Extreme data characteristics (volume, speed, heterogeneity, distribution, diverse quality, etc.) challenge the state-of-the-art data-driven analytics and decision-making approaches in many critical domains such as crisis...
Funded by: Horizon Europe Guarantee
Lead research organisation: BOURNEMOUTH UNIVERSITY
The project addresses data integration, machine learning, visual analytics, and explainable AI, which are relevant to harnessing the benefits of data science, building trust in automated systems, and integrating multiple sources of information.
Today many decisions are made using evidence from numerical models. Such models are often large and complex and often appear to be without uncertainty. However, even if the model is itself deterministic in that it gives ...
Funded by: EPSRC
Lead research organisation: UNIVERSITY OF EXETER
The project addresses the question partially and the authors have the necessary expertise.