Delivered at:: International Laboratory for Applied Network Research

Course type:: Compulsory course

When:: 1 year, 1-4 module

Instructors

Maltseva, Daria

Shcheglova, Tamara

Full Syllabus Ask Question

Abstract

This research seminar is aimed at supporting the process of academic and industrial research, covering the main research stages, such as topic selection, research design, choice of methodology, data collection, literature review, and results’ presentation. These aspects are discussed from the perspectives of Computational Social and Network Sciences, which allows students to gain a deeper knowledge of the current trends and methodological and theoretical advancements in these fields. Current ideas, problems, and projects in the fields of Network analysis and Computational social sciences are presented at the seminar. The research seminar is aimed at developing and stimulating students' skills of research and publication activity.

Learning Objectives

• Support the process of Term paper preparation
• Prepare the student for independent research work
• Develop skills for discussion and objective assessment of scientific research

Expected Learning Outcomes

be able to justify the chosen research methodology
be able to present research results
have written and oral speech within the stated research topic
• students can competently organize the process of research work in terms of all necessary stages
• students can develop a research design of the project
• students can justify the chosen research methodology
• students can make a comprehensive literature review
• students can present research results in various formats of scientific outcomes (Term paper, presentation, scientific paper)
• students have written and oral skills in presenting and discussing various research topics

Course Contents

Introduction to Computational Social and Network Sciences
Research design in Computational Social and Network Science
Starting points of research
Literature review
Data types
Data measurement
Data collection
Data manipulation
Data analysis
Data visualization
Results presentation
Workshop on writing academic articles and submissions to scientific conferences

Assessment Elements

Homeworks
Final test
Final test on the materials of the course, open-ended questions may be included

Interim Assessment

2024/2025 4th module
0.2 * Final test + 0.16 * Homeworks + 0.16 * Homeworks + 0.32 * Homeworks + 0.16 * Homeworks

Bibliography

Recommended Core Bibliography

Rainer Bauböck, Donatella Della Porta, Ignacio Lago, & Camil Ungureanu. (2012). What methodological “wars” methodological pluralism? Revista Española de Ciencia Política, (29), 11. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.2385852644e540ab804dd172189cabdd

Recommended Additional Bibliography

Richard Paul, & Linda Elder. (2019). The Miniature Guide to Critical Thinking Concepts and Tools: Vol. 8th ed. The Foundation for Critical Thinking.
Waller, A. (2010). Philosophical Foundations for the Practices of Ecology. Biologist, 57(3), 150.

Authors

SHCHEGLOVA TAMARA EVGENEVNA
Klimov Ivan Aleksandrovich
Pavlova Irina Anatolevna
MALTSEVA Daria VASILEVNA

Master’s Programme 'Data Analytics and Social Statistics'

Contacts

Research Seminar "Computational Social and Network Sciences"