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Regular version of the site
Master 2018/2019

Research Seminar

Area of studies: Management
When: 1 year, 3 module
Mode of studies: Full time
Master’s programme: Governance of Science, Technology and Innovation
Language: English
ECTS credits: 3

Course Syllabus

Abstract

The course is delivered to the first year master students of the Master Program ‘Governance of Science, Technology and Innovation’ at the National Research University Higher School of Economics (HSE). The course length is 228 academic hours in total of which 32 are classroom hours and 196 hours are devoted to self-study. It continues logically the course ‘Scientific research Methods for STI’ and is designed to help students to foster their work on research projects and develop term papers. The course is divided into two blocks. The first includes seminars discussing research data analysis and academic communication. The second block is a series of seminars fully dedicated to individual work-in-progress presentations. The academic control is based on one essay (peer review), an exam (organized in a form of workin-progress presentation) and in-class engagement.
Learning Objectives

Learning Objectives

  • to provide students with practical knowledge and skills necessary for the analysis of quantitative and qualitative data;
  • to introduce students to the key sources of empirical data in the STI field;
  • to consider how to organize and present research results;
  • to train students’ analytical and critical thinking skills.
Expected Learning Outcomes

Expected Learning Outcomes

  • Сapabilities to analyze different types of data correctly
  • To analyze different types of data correctly
  • To create proper academic presentation and to communicate research results correctly
Course Contents

Course Contents

  • Introduction to the course
    Basic guidelines and requirements of the course. Schedule and deadlines. Academic control. Criteria for written papers evaluation.
  • Sources of empirical information in STI studies: an overview
    Statistics of STI: information sources. How to read and use analytical reports. Workshop: working with OECD database (Main Science and Technology Indicators).
  • Quantitative data
    Basics of quantitative analysis. Descriptive statistics. Overview of cluster, factor and regression analysis. Workshop: Overview of quantitative analysis software: the example of SPSS.
  • Qualitative data
    Basics of qualitative analysis. Coding of transcripts. Analysis and presentation. Workshop: Overview of quantitative analysis software: the example of NVivo.
  • Presentation of research results
    Basics of presenting research ideas: How to structure your presentation? How to present data? How to develop one’s presentation skills? New tools for presentations.
  • Consultations on individual research projects are provided on request
Assessment Elements

Assessment Elements

  • non-blocking In-class
  • non-blocking Peer-review
  • non-blocking Colloquium
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.3 * Peer-review + 0.5 * Colloquium + 0.2 * In-class
Bibliography

Bibliography

Recommended Core Bibliography

  • Dowling, R., Maalsen, S., & Kent, J. L. (2018). Sharing as sociomaterial practice: Car sharing and the material reconstitution of automobility. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.DC385DFE
  • Duarte, N. (2008). Slide:ology : The Art and Science of Creating Great Presentations (Vol. 1st ed). Beijing: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=412140
  • Wetcher-Hendricks, D. (2011). Analyzing Quantitative Data : An Introduction for Social Researchers. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=690491

Recommended Additional Bibliography

  • Cargill, M., & O’Connor, P. (2013). Writing Scientific Research Articles : Strategy and Steps (Vol. Second edition). Chichester, West Sussex, UK: Wiley-Blackwell. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=568792
  • Martin, B. R., Nightingale, P., & Yegros Yegros, A. (2011). Science and technology studies: exploring the knowledge base. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.58BAAFD5