University of Jyväskylä
Visit websiteThe University of Jyväskylä's DARIAH node supports multidisciplinary research at the intersection of the humanities, social sciences, and digital technologies. It brings particular strengths on the use and analysis of multimodal data.
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Affiliated Groups
Game Research Network is an interdisciplinary network uniting researchers and students who are interested in game studies. Game Research Network aims to support game-related research endeavors at University of Jyväskylä and communication between researchers from different disciplines. The network organizes seminars and informs its members of new research opportunities, relevant events and news in the field.
The JYUDIG network aims to bring together researchers whose work includes a digital dimension, either in terms of material or methodology. Together, we can have an impact and share know-how with researchers interested in digital topics. The network supports this by organizing events, workshops, and courses to facilitate digital humanities research.
Is democracy in its representative form in crisis or just adapting itself to changing circumstances? This project answers this question by exploring the contested nature of concepts that are used to construct democracy – by analysing how parliamentarians’ understandings of representation and democracy have changed over time in interaction with society at large. (Project period: 1.9.2021 – 31.8.2026)
Finnish and Finnish-Swedish sign language corpus work: During the Finnish Sign Language Corpus project, a total of 103 sign language native speakers living in different parts of Finland were videotaped. Corpora, or linguistic research data, are used when searching for instances of expression use, calculating their frequencies or evaluating research hypotheses.
Tools
Document Understanding Tools
Tools for document understanding including named entity recognition and document type classification. Most of the tool development has been conducted in collaboration with the National Archives of Finland.
Contact: Venla Poso, Ida Toivanen
In collaboration with: National Archives of Finland
L2 Finnish model
A classification model trained with CEFR annotated data containing fictional and non-fictional texts written by Finnish as a second language (L2) speakers. With the model you can classify texts into the following CEFR classes: A1, A2, B1, B2, and C.
Contact: Jenny Tarvainen, Ida Toivanen, Ari Huhta
Twitch Chat Collector & Analysis Tool
This resource collects chat data from the live stream service Twitch and YouTube. The tools sidebar contains multiple ways to collect data, but also sections for chat content classification based on machine learning and video clip analysis based on Multimodal Large Language Models. Resource developed by the University of Jyväskylä with collaboration from Tampere University.
Contact: Raine Koskimaa, Jari Lindroos
In collaboration with: Tampere University
Trainings
Offered by the Department of Social Sciences and Philosophy.
The current state and future of archive material digitisation, archiving electronic material and digitising paper material, key systems and arrangements, digitisation of processes and their management, digitisation of official/public and private/personal sources, standards for electronic documents.
In this course we explore the digital realm that is applied to humanities. We get familiar with the practical side of digital humanities - from creating and obtaining digital datasets to hands-on exercises using various digital methods and tools that are designed for conducting qualitative data analysis.