Science aims to find causal relations.
Scientific studies, both experimental or observational, should be cost-efficient.
Real data are usually incomplete data.
Decision analytics utilizing causal models and multiobjective Optimization (DEMO) is a thematic research area at University of Jyväskylä. DEMO focuses on explicit, concrete decision problems that can be presented with mathematical formalism. Predictive analytics, statistical modelling, causal inference, prescriptive analytics and multiobjective optimization are the key elements needed to create a seamless chain from data to decision. Read more
Causal models with design describe the study design and the missing data mechanism together with the causal structure and allow the direct application of causal calculus. Read more
Who to measure, what to measure and when to measure in observational studies? How to allocate resources optimally in experimental studies? Read more