Our research focuses on computational analysis and understanding 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. Key applications include microbiome research, population cohort studies, and computational social sciences and humanities (SSH). We also coordinate the Open Knowledge Finland Open Science work group, which received Open Science and Research award of the Ministry of Education and Culture in 2017.

Recent publications

Below some examples from recent publications. See ORCID for a full list. Full publication list is also available as bibtex Copies of most papers are available here.

Opinion pieces (in Finnish)

Aatehistoria ja digitaalisten aineistojen mahdollisuudet
Ennen & Nyt (Finland) 2015.
Tolonen M, Lahti L.

Avoimuus voi vahvistaa päätöksenteon tieteellistä pohjaa
Invited opinion piece: University of Helsinki, ThinkOpen blog. August 2020.
Lahti L.

Päätös epidemialaskelmien salaamisesta vastoin valtioneuvoston avoimuuslinjausta
Invited perspective, Open Knowledge Finland blog. July 2020.
Lahti L.

Lähdekoodin sisältämien yksityiskohtien avoimuus on keskeistä päätöksenteon läpinäkyvyydelle
HS Mielipide. June 2020.
Lahti L.

Tietopyyntö THL:n epidemialaskelmien lähdekoodeista
Open Knowledge Finland ry. (Freedom of Information request)
Invited perspective, Open Knowledge Finland blog. June 2020.
Lahti L, Toikkanen T.

Päätöksenteossa käytettävien laskentamallien tulisi olla lähtökohtaisesti avoimia
Helsingin Sanomat (HS Mielipide / researcher position statement). May 2020.
Lahti L, Wallgren T, Kulmala M.