Research Topics

Research topics

Our research focuses on computational analysis of complex natural and social systems. Targeted techniques are needed to extract information and insights from rich data streams based on combinations of human and machine intelligence. We blend elements from machine learning/AI, statistical and probabilistic programming, complex systems, and data science, and coordinate open developer communities that help to translate latest theoretical advances into accessible methods to inform modeling, experimentation, and decision-making. Key applications include microbiome research, population studies, and computational humanities. We have coordinated Open Knowledge Finland Open Science work group, which received Open Science and Research award of the Ministry of Education and Culture in 2017, and are active contributors in the national FIN-CLARIAH research infrastructure for computational humanities.

A graphical representation of a probabilistic model
Figure by: Ville Laitinen & Leo Lahti

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