CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to enhance decision-making in critical risk assessments where data is scarce. It employs Bayesian networks to integrate expert knowledge and subjective probabilities, allowing for better modeling of complex situations in fields like law, medicine, and engineering.
This project aims to improve evidence-based decision-making.
What makes it radical is that it plans to do this in situations (common for critical risk assessment problems) where there is little or even no data, and hence where traditional statistics cannot be used.
To address this problem Bayesian analysis, which enables domain experts to supplement observed data with subjective probabilities, is normally used.
As real-world problems typically involve multiple uncertain variables, Bayesian anal…
QUEEN MARY UNIVERSITY OF LONDON
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
