University of Helsinki
The University of Helsinki DARIAH node is distributed in diverse units in the city centre campus, with ample methodological expertise and curriculum development in digital humanities and social data science.
Website
Contact
Inés Matres
Department of Digital Humanities
Department of Philosophy, History and Art Studies
Expertise
Affiliated Groups
Helsinki Computational History Group (COMHIS) 
Helsinki Computational History Group (COMHIS) is an interdisciplinary team that studies intellectual history. The work in the group is guided by methods from various different backgrounds ranging from modern data science and machine learning to history and linguistics.
Expertise
Contact
DARIAH node
The Human Sciences – Computing Interaction (HSCI)
The research group seeks to figure out the technological, processual and theoretical underpinnings of successful computational research in the humanities and social sciences.
Expertise
Contact
DARIAH node
Helsinki Institute for Social Sciences and Humanities (HSSH)
The institute is building a research culture that creates new multidisciplinary and inspiring research collaboration on the City Centre Campus and with partners outside the university. It promotes the renewal of content and methodology in the research fields in social sciences and humanities.
Expertise
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DARIAH node
Center for Social Data Science (CSDS)
The Centre for Social Data Science (CSDS) cultivates data-intensive quantitative methods for a social-science-anchored response to the datafication and digitalisation of society. CSDS aims to provide comprehensive and methods-focused teaching for students in the Contemporary Societies (COS) Masters Programme. The centre engages in collaborative research projects in fields such as, demography, sociology, and social policy to improve applied research methods, and propel such work into the future through suitable, robust, and ethical research infrastructure.
Expertise
Contact
Matti Nelimarkka (2025), Maria Valaste (2026-)
DARIAH node
Tools
This resource provides a set of easy-to-use tools for conducting qualitative analysis on survey responses in Finnish. Thanks to this resource, researchers will be able to better understand data retrieved from open-ended questions.
CRAN webpage: https://CRAN.R-project.org/package=finnsurveytext
Guidance can be found in the website of the resource.
Tutorial/Demo
Developed by
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Tool to evaluate biases and errors
This resource provides tools for subsetting and evaluating datasets that have not originally been created for research. Thanks to this resource, researchers will be able to robustly explore large datasets, examine their representativeness, and extract the subset they are interested in.
End-user interface links and usage instructions for centrally indexed datasets: https://github.com/hsci-r/elasticsearch-openshift/blob/main/documentation/exported_query.md
Technical documentation enabling people to set up their own instances for their own datasets: https://github.com/hsci-r/elasticsearch-openshift
Resource developed by the University of Helsinki (ARTS) in partnership with the CSC.
Tutorial/Demo
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Training and Teaching
Introduction to Digital Humanities and Social Sciences
This is an introductory course that will give you a wide overview of different approaches to digital humanities and social sciences at the University of Helsinki across faculty borders. During the course, students will become familiar with the basic concepts and approaches of digital humanities and social sciences.
Bachelor’s level
Master’s Programme in Linguistic Diversity and Digital Humanities
An interdisciplinary programme that combines five fields of study: cognitive science, digital humanities, general linguistics, language technology, and phonetics.
Master’s level
Digital Humanities Research Seminar
Established in 2015. Offered every year both in the autumn and the spring.
Doctoral level