University of Jyväskylä
The 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. The node is active in game studies, digital cultural heritage, and the processing and interpretation of archival materials. Its work integrates open research infrastructures to a growing variety of research projects with emphasis on computer-assisted analysis. JYU hosts two Centres of Excellence that participate in DARIAH, Game Culture Studies and Ageing and Care. Jyväskylä is profiling in areas of digital humanities, such as Crisis Redefined, Cyber Security Research, Ageing and Care, and Research Collegium for Language in Changing Societies.
Contact
Venla Poso
Department of Music, Art and Culture Studies
Ida Toivanen
Department of Music, Art and Culture Studies
Jari Lindroos
Department of Music, Art and Culture Studies
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.
Expertise
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DARIAH node
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.
Expertise
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DARIAH node
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)
Expertise
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DARIAH node
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.
Expertise
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DARIAH node
Tools
Twitch Chat Collector & Analysis Tool 
This resource collects chat data from the live stream service Twitch and YouTube. Thanks to this resource, researchers will be able to retrieve and analyze larger samples of chat data from the livestream services 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.
Guidance can be found in the website of the resource.
Tutorial/Demo
Developed by
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Document Understanding Tools
The archival data team, consisting of Venla and Ida, has worked on producing tools for document understanding. This refers to various kinds of processing of documents, such as named entity recognition and document type classification.
Named entity recognition (UI): https://arkkiivi.fi/
Named entity recognition (Huggingface): https://huggingface.co/Kansallisarkisto/finbert-ner
Document type classification https://huggingface.co/jyu-digihum/findoctype
Most of the tool development has been conducted in collaboration with the National Archives of Finland.
Tutorial/Demo
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Training and Teaching
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.
Doctoral level
Master’s levelThe 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.
Bachelor’s level