Our research focuses on computational analysis of complex natural and social systems. There is a great demand for targeted computational techniques to extract information and insights from rich data collections based on clever combinations of human and machine intelligence. We blend elements from fields such as machine learning/AI, probabilistic programming, statistical ecology, and data science, and drive open developer communities that help to translate latest theoretical advances into accessible methods to inform modeling, experimentation, and decision-making. For a full list of publications check this page.
Alchemy & algorithms: perspectives on the philosophy and history of open science
RIO Journal 2017.
Lahti L, da Silva F, Laine MP, Lähteenoja V, Tolonen M.
Open education and educational resources. National policy and executive plan by the higher education and research community for 2021-2025 - Policy component 1: Open access to educational resources
Responsible Research Series 16:2020. Helsinki, Finland. Published by the Committee for Public Information (TJNK) and Federation of Finnish Learned Societies (TSV) .
Open Research Policy / Avoimen tutkimuksen politiikka
University of Turku, OpenUTU work group, 2018.
Opening academic publishing: development and application of systematic evaluation criteria. Report on the openness of major scientific publishers
Finnish IT Center for Science (CSC) and Ministry of Education and Culture, Open Science and Research Initiative (ATT). 2018.
Björk A, Paavolainen J-M, Ropponen T, Laakso M, Lahti L.
Open Data Science
Advances in Intelligent Data Analysis XVII. Lecture Notes in Computer Science 11191:31-39. Springer, India, 2018.