Our research focuses on computational analysis of complex natural and social systems. Targeted computational 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 programming, complex systems models, 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 cohort studies, and computational social sciences and humanities (SSH). 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.