Causal synthesis under structural uncertainty
Description of the granted funding
We develop methods of causal inference that take into account uncertainty related to causality, combine different types of data sources, and aim to solve problems related to missing data and selection bias. The developed methods are applied in ecology, health sciences, and business.
Show moreStarting year
2025
End year
2029
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy projects
Decision maker
Scientific Council for Natural Sciences and Engineering
12.06.2025
12.06.2025
Other information
Funding decision number
368935
Fields of science
Computer and information sciences
Research fields
Tietojenkäsittelytieteet
Identified topics
computer science, information science, algorithms