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Regular version of the site
Master 2022/2023

Research Seminar "Data Analytics for Politics and Society"

Area of studies: Political Science
When: 2 year, 1-4 module
Mode of studies: offline
Open to: students of all HSE University campuses
Instructors: Andrey Starodubtsev
Master’s programme: Data Analytics for Politics and Society
Language: English
ECTS credits: 3
Contact hours: 16

Course Syllabus

Abstract

The Research Seminar aims at helping students to develop research designs of their term papers and improve their academic writing skills. The seminar is meant to be a workshop resulting in a coherent term paper research design. The class consists of 9 pairs of classes, each pair (except for the first one) devoted to a particular aspect of research design. The first class is devoted to discussing contemporary academic literature with the focus on the specific aspects (e.g, the literature review), while the second class features the discussions of students’ texts within peer review teams. For the seminars students are expected to 1) prepare the specific part of their research proposal, 2) to read their classmates’ texts and comment on them.
Learning Objectives

Learning Objectives

  • The aim is to make students able to read and critically discuss articles from the field of social, political studies and big data analysis, and conduct empirical research using different sources of data
Expected Learning Outcomes

Expected Learning Outcomes

  • Applies mining tools to collect, filter, categorize and apply big data from social media for the specialized research
  • Applies knowledge on the necessary theoretical, conceptual, methodological, empirical and ethical considerations to build own research.
  • Applies datasets amd bases from secondary sources for conducting the specialized research
Course Contents

Course Contents

  • Introduction to analytical sociology and political science
  • Sources of (big data); quality of data
  • Literature review: basic principles and search for the articles
  • Operationalization of theoretical concepts and measurement
  • Research design
  • Particular examples from social and political science
  • Seminar 1 (2 hours)
  • Seminars 2 — 8 (14 hours)
Assessment Elements

Assessment Elements

  • non-blocking In-class assignments
    In-class assignments grade will be calculated as an average score for all types of written activities during the seminars.
  • non-blocking Participation in class discussions
  • non-blocking Presentation of the individual project
    Presentation of the individual project includes final presentation on the topic of student’s course work and should represent a solid presentation of research framework, literature review, data description, data analysis and main conclusions.
  • non-blocking Presentation of theoretical parts of the student thesis
  • non-blocking Exam
Interim Assessment

Interim Assessment

  • 2021/2022 4th module
    0.3 * In-class assignments + 0.4 * Participation in class discussions + 0.3 * Presentation of the individual project
  • 2022/2023 4th module
    0.4 * Exam + 0.3 * Presentation of theoretical parts of the student thesis + 0.3 * Participation in class discussions

Authors

  • NEMIROVSKAYA ANNA VALENTINOVNA
  • STARODUBTSEV ANDREY VLADIMIROVICH
  • PASHAKHIN SERGEY VITALEVICH
  • TSVETKOVA EKATERINA ANDREEVNA
  • STREMOUKHOV DENIS ALEKSANDROVICH
  • ALEKSANDROV DANIIL ALEKSANDROVICH
  • SORBALE ALEKSEY BORISOVICH
  • LOSEVA ALLA OLEGOVNA
  • TENISHEVA KSENIYA ALEKSEEVNA