Veidlapa Nr. M-3 (8)
Study Course Description

Scientific Research Paradigms in Social Sciences

Main Study Course Information

Course Code
SZF_213
Branch of Science
Other social sciences
ECTS
3.00
Target Audience
Business Management; Civil and Military Defense; Communication Science; Health Management; Law; Management Science; Person and Property Defence; Political Science; Social Anthropology; Sociology
LQF
Level 8
Study Type And Form
Full-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Faculty of Social Sciences
Contacts

Dzirciema street 16, Rīga, szf@rsu.lv

About Study Course

Objective

The aim of the doctoral course “Scientific Research Paradigms in Social Sciences” is to critically examine and analyze the latest methodological innovations in social science research. The course enhances doctoral students’ ability to apply and integrate innovative, interdisciplinary approaches in their research, strengthening theoretical understanding and fostering original scholarly contribution.

Preliminary Knowledge

Prerequisites in the field of research methods, ethics.

Learning Outcomes

Knowledge

1.Doctoral student is familiar with more up-to-date methodological approaches to modern social sciences and their theoretical basics

Individual work and tests

Article methodology

2.Understands the role and role of innovation in social science research, including their development and context of application

3.Be able to identify and evaluate interdisciplinary and non-traditional research methods, their potential and limitations in specific research areas.

Skills

1.Able to analyse and apply innovative research approaches, including participatory methods and multi-agent modelling, according to a specific context of social science research

2.Is able to evaluate and exploit the potential of forms of citizen science by ensuring public involvement in research processes

3.Able to process, interpret and critically analyze large data sets using appropriate digital tools and data analytics techniques

4.Able to apply FAIR principles in data management and depositing, ensuring data openness, accessibility and reusability.

Competences

1.Able to independently select and adapt innovative research approaches to study complex social phenomena based on theoretical and methodologically based decisions

Individual work and tests

Article methodology

2.Able to integrate up-to-date technologies and data management principles (including FAIR) into high-level social sciences research and scientific communication

Individual work and tests

Article methodology

3.Demonstrate the ability to critically reflect on methodological choices and their consequences in the context of research ethics, quality and sustainability

Assessment

Individual work

Title
% from total grade
Grade
1.

Article methodology

-
Test

Study Course Theme Plan

FULL-TIME
Part 1
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Participation and multi-agent approach
  1. Lecture

Modality
Location
Contact hours
On site
Study room
2

Topics

Fair principles for depositing data
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Network analysis
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Design thinking
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Mixed method approaches and methodological pluralitarianism
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Impact of digitisation and data science and research in the field of social sciences
  1. Class/Seminar

Modality
Location
Contact hours
On site
Study room
2

Topics

Impact of digitisation and data science and research in the field of social sciences
Total ECTS (Creditpoints):
3.00
Contact hours:
14 Academic Hours
Final Examination:
Test

Bibliography

Required Reading

1.

-