Institute of Social Sciences and Applied Informatics

Study programmes

Bachelor degree study programmes:

• Information Systems and Cyber Security
• Marketing Technologies

Master degree study programmes:

• International Business Management
• Art Management

Personnel

 

Surname	Name	Title	Email
Bartkutė	Rasa	Assist. Prof. Dr
Čiegis	Remigijus	Prof. Dr Habil., Principal Scientist
Freitakas	Eduardas	Assoc. Prof. Dr
Gipienė	Gailutė	Assoc. Prof. Dr
Griesienė	Ingrida	Assist. Prof. Dr
Guptor	Marina	Lecturer
Balevičienė	Dovilė	Assist. Prof. Dr
Jasinskas	Edmundas	Prof. Dr
Jurėnienė	Virginija	Prof. Dr
Kanapickienė	Rasa	Prof. Dr (HP)
Kiaušienė	Ilona	Assoc. Prof. Dr
Kisielius	Eimantas	Lecturer
Klimaitienė	Rūta	Assoc. Prof. Dr
Matusevičienė	Lina	Lecturer, PhD student
Mikalauskienė	Asta	Prof. Dr
Novelskaitė	Aurelija	Assoc. Prof. Dr,  Principal Scientist
Pučėtaitė	Raminta	Assoc. Prof. Dr,  Principal Scientist
Pušinaitė-Gelgotė	Rasa	Assoc. Prof. Dr,  Principal Scientist
Radzevičius	Martynas	Junior Assistant, PhD student
Ramanauskaitė	Agnė	Assist. Prof. Dr
Rimkutė	Audronė	Assoc. Prof. Dr
Ročkė	Dovilė	Junior Assistant, PhD student
Romeika	Giedrius	Assoc. Prof. Dr
Sueldo	Mariana	Lect. Dr
Šarkiūnaitė	Ingrida	Assoc. Prof. Dr
Šikšnelytė	Indrė	Lecturer Dr
Štreimikienė	Dalia	Prof. Dr (HP), Principal Scientist
Tamulienė	Vilma	Assoc. Prof. Dr
Tomkevičienė	Danguolė	Lecturer
Urbonienė	Aistė	Assoc. Prof. Dr
Valukonis	Mantas	Assoc. Prof. Dr, Scientist
Vijūnas	Mindaugas	Junior Assistant, PhD student
Andriuškevičius	Karolis	PhD student
Boreika	Paulius	PhD student
Gliaubicas	Darius	PhD student
Jurgelėnas	Saulius	PhD student
Mikalauskas	Ignas	PhD student
Mirinavičienė	Stacey	PhD student
Pukis	Algirdas	PhD student
Ščiukauskė	Indrė	Assist. Prof. Dr
Ūsas	Antanas	Assist. Prof. Dr
Vilutytė	Gabrielė	PhD student
Vitkauskaitė	Ieva	PhD student
Žemaitytė	Raminta	PhD student
Ambraziūnas	Martas	P'Ship Assoc. Prof. Dr
Astromskis	Paulius	Assoc. Prof. Dr
Bikulčienė	Liepa	Assoc. Prof. Dr
Butleris	Rimantas	Prof. Dr
Danielienė	Renata	Assist. Prof. Dr
Dilijonas	Darius	P'Ship Prof. Dr.
Driaunys	Kęstutis	Assoc. Prof. Dr
Krikščiūnienė	Dalia	Prof. Dr
Lopata	Audrius	Prof. Dr
Masteika	Saulius	Assoc. Prof. Dr
Moskaliova	Vera	Assist. Prof. Dr
Rudžionis	Vytautas	Assoc. Prof. Dr
Sakalauskas	Virgilijus	P'Ship. Prof. Dr (HP)
Stravinskienė	Auksė	Lecturer
Tribandis	Darius	Lecturer
Vaitonis	Mantas	Assist. Prof. Dr
Veitaitė	Ilona	Assist. Prof. Dr
Ždanovičius	Artūras	Lecturer

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

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 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

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.

Partners and consultants of the Data Science laboratory

EPSILON (ucy.ac.cy)
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