Structure

Study programmes

Bachelor degree study programmes:

• Information Systems and Cyber Security
• Marketing Technologies

Master degree study programmes:

• International Business Management
• Art Management

Personnel

For students

Šarkiūnaitė I.,  Štreimikienė D.,  Mikalauskienė A., Jasinskas E., Šikšnelytė-Butkienė I.,  Masteika S.,  Čiegis R., PREPARATION OF MASTER’S THESIS Methodical Guidelines.

Rimkutė A., Jurėnienė V., Novelskaitė A. Methodological guidelines for writing master’s thesis. Vilnius: Vilniaus universitetas, 2018.

Data science laboratory

Project EPSILON was co-funded by the European Union (2021-1-DE01-KA220-HED-000029711). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or DAAD. Neither the European Union nor the granting authority can be held responsible for them.

Data Science Laboratory is a scientific and applied research laboratory established in the Institute of Social Sciences and Applied Informatics of VU KNF in 2024.

The vision of the Data Science Laboratory is to become a center for scientific research, idea generation, discussion, and applied research in the field of Data Science, which has a significant impact on the digital transformation of business and societal processes worldwide.

The principle of the laboratory's activity is to cooperate with companies that aim to evaluate and develop their business processes more efficiently and have data for analyzing problems and finding their solutions.

The Data Science Laboratory of Vilnius University, Kaunas Faculty (Kaunas, Lithuania) is affiliated with the Z-inspection® initiative.

Z-Inspection® is a holistic process for evaluating the trustworthiness of AI-based technologies at different stages of the AI lifecycle. In particular, it focuses on identifying and discussing ethical issues and tensions through the development of socio-technical scenarios.

The process has been published in the IEEE Transactions on Technology and Society.

Z-Inspection® is distributed under the terms of the Creative Commons License (Attribution-NonCommercial-ShareAlike CC BY-NC-SA).

Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics.

The interdisciplinary team of researchers is assembled for each project for joining knowledge of experienced and young scientists, and encouraging students to participate in scientific activities.

We invite you to join the research team of the Data Science Laboratory!

Contacts and information
Dalia Krikščiūnienė,
Institute of Social Sciences and Applied Informatics
VU Kaunas faculty
Muitines str. 8, LT-44280, Kaunas

Members of Data science laboratory
Supervisor: Prof. dr. Dalia Krikščiūnienė
Members:
Prof.dr. Virgilijus Sakalauskas
Prof.dr. Edmundas Jasinskas
Doc.dr. Giedrius Romeika
Doc.dr. Vytautas Rudžionis
Doc.dr. Saulius Masteika
Doc.dr. Liepa Bikulčienė
Doc. dr. Ilona Veitaitė
Assist.dr. Renata Danielienė
Asist. dr. Ingrida Griesienė
Asist. dr. Dovilė Balevičienė
Asist. dr. Skaistė Jurėnė
Lekt. Martynas Radzevičius

Partners and consultants of the Data Science laboratory

EPSILON (ucy.ac.cy)
Gyvūnų prieglauda Penkta Koja

Projects of Data science laboratory

EPSILON
The scientists-members of the laboratory will use their experience of interdisciplinary cooperation, performing activities of the international project EPSILON “Europeen Platform for Data science: Incubation, Learning, Operations and Network” EPSILON (ucy.ac.cy) (project duration 2022-2025 ).

This project is part of the global initiative Data Science for good (DS4G). The project solves the problem of how to help public and non-profit organizations not only to collect, but also to extract useful information from data, enabling to make decisions that benefit both companies and society. In such companies, the use of data is complicated not only due to the abundance of collected data, but also due to different sources of data, their collection formats, insufficient data "cleanliness" and also lack of data science specialists. The significant principle for implementation of this project will be the team work and involvement of experienced scientists from different fields of science and students, who are in a starting position of their scientific career, or are willing to benefit by gaining skills from practice and internship.
Project EPSILON coordinator - Harz University (Germany), partners - Nova SBE Institute of Science, Business and Economics (Portugal), University of Cyprus (Cyprus), Vilnius University (Lithuania): project manager on behalf of VU isProf. Dr. Dalia Krikščiūnienė.

In this project, VU is responsible for implementing one of the parts of the project PR3 "New Data for Good Initiative", which aims to bring together data analysis project teams from experts, most relevant to the area of the solved problem: data science, intelligent analysis, and machine learning, as well as social sciences (management, marketing, finance). The laboratory will initiate cooperation with public companies and non-profit organizations for joint analysis of their workflows, management, monitoring and generating insights of increasing their efficiency and new benefits based on application of data processing methods and the use of expert knowledge.

The experience gained during this data analysis project will be further used for experimental research projects of the Data science laboratory.

Study programmes

Bachelor degree

• English and Another Foreign Language (Swedish)
• Audiovisual Translation
• Audiovisual Translation: Accessibility of Digital Content
• Lithuanian Philology and Advertising

Master degree:

• Audiovisual Translation
• Lithuanian Literature and Creative Writing
• Public Discourse Linguistics

Personnel

MULTIMODALITY IN PUBLIC DISCOURSE

Principal investigator: Skirmantė Šarkauskienė, associate professor Dr; e-mail:  https://orcid.org/0000-0003-2485-3510

Members:

1. Rita Baranauskienė, associate professor Dr https://orcid.org/0000-0002-0123-5077
2. Skirmantė Biržietienė, associate professor Dr https://orcid.org/0000-0002-3661-2100
3. Eglė Gabrėnaitė, associate professor Dr https://orcid.org/0000-0002-4904-0148
4. Saulutė Juzelėnienė, associate professor Dr https://orcid.org/0000-0002-5110-3208
5. Živilė Nemickienė, associate professor Dr https://orcid.org/0000-0002-4857-0112
6. Dovilė Vengalienė, associate professor Dr https://orcid.org/0000-0002-9113-9301
7. Aistė Vitkūnė-Bajorinienė, associate professor Dr. https://orcid.org/0000-0001-7004-0364

AUDIOVISUAL TRANSLATION RESEARCH

Principal investigator: Danguolė Satkauskaitė, professor Dr; e-mail: https://orcid.org/0000-0001-9042-4373

Members:

1. Loreta Huber, professor Dr https://orcid.org/0000-0001-5453-7995
2. Jurgita Astrauskienė, associate professor Dr  https://web.vu.lt/khf/j.astrauskiene/
3. Jurgita Kerevičienė, associate professor Dr https://orcid.org/0000-0003-1964-997X
4. Jadvyga Krūminienė, associate professor Dr https://orcid.org/0000-0002-2824-3843
5. Laura Martinkutė, associate professor Dr https://orcid.org/0000-0002-3020-0527
6. Eglė Alosevičienė, assistant professor Dr https://orcid.org/0000-0002-8665-0973
7. Lina Abraitienė, teaching assistant, PhD student https://orcid.org/0000-0002-5926-5594
8. Jurgita Motiejūnienė, PhD student;
9. Brigita Brasienė, PhD student;
10. Indrė Višinskaitė, lecturer  https://orcid.org/0000-0003-0280-2819.

THE INTERACTION OF TEXT AND CONTEXT

Principal investigator: Gabija Bankauskaitė, professor Dr; e-mail: https://orcid.org/0000-0002-3276-8159

Members:

1. Loreta Huber, professor Dr https://orcid.org/0000-0001-5453-7995
2. Skirmantė Biržietienė, associate professor Dr https://orcid.org/0000-0002-3661-2100
3. Eglė Keturakienė, associate professor Dr https://orcid.org/0000-0003-2951-7313
4. Jūratė Radavičiūtė, associate professor Dr https://orcid.org/0000-0002-6222-1621
5. Inga Stepukonienė, senior researcher, associate professor Dr https://orcid.org/0000-0002-0507-8742
6. Skirmantė Šarkauskienė, associate professor Dr https://orcid.org/0000-0003-2485-3510
7. Gintarė Vaitonytė, researcher Dr;
8. Gabrielė Gibavičienė, PhD student;
9. Domantė Vaišvylaitė, PhD student.

LANGUAGE VARIETIES AND LANGUAGE ATTITUDES

Principal investigator: Robertas Kudirka, associate professor Dr; e-mail: https://orcid.org/0000-0002-1781-0478

Members:

1. Daiva Aliūkaitė, professor Dr https://orcid.org/0000-0002-4275-9512
2. Danguolė Mikulėnienė, partnership professor Dr https://orcid.org/0000-0001-7781-7236
3. Rita Baranauskienė, associate professor Dr https://orcid.org/0000-0002-0123-5077
4. Ilona Mickienė, associate professor Dr https://orcid.org/0000-0002-4433-506X
5. Vilma Linkevičiūtė, assistant professor Dr https://orcid.org/0000-0002-6982-2892
6. Monika Stankienė, teaching assistant, PhD student;
7. Angelica Peccini, PhD student.

 CULTURE AND DIGITAL HUMANITIES

Principal investigator: Egidija Kiškina, senior researcher Dr; e-mail: https://orcid.org/0000-0001-6814-8667

Member:

1. Aušra Kairaitytė-Užupė, researcher Dr https://orcid.org/0000-0002-3585-3172

OTHER MEMBERS OF THE INSTITUTE 

1. Lina Buividavičiūtė, lecturer;
2. Giedrė Dubauskienė, lecturer;
3. Lina Fedorčenkienė, lecturer;
4. Livija Grikietis, lecturer;
5. Loreta Kamičaitytė, lecturer;
6. Saulius Keturakis, associate professor Dr;
7. Indrė Koverienė, assistant professor Dr https://orcid.org/0000-0002-3571-2564
8. Alina Kuzmickienė, lecturer;
9. Rita Mačiulskienė, lecturer;
10. Rozalija Pagrandytė, lecturer;
11. Jelena Skovorodko, lecturer;
12. Indrė Šležaitė, lecturer Dr https://orcid.org/0000-0001-6505-4251
13. Gediminas Urbonas, lecturer;
14. Kęstutis Vaišnora, partnership associate professor
15. Justina Valnickienė, lecturer;
16. Eglė Voidogienė, lecturer https://orcid.org/0000-0001-5680-2297