Магистратура
2025/2026
Семинар наставника «Методология научных исследований в сфере менеджмента науки, технологий и инноваций»
Статус:
Курс обязательный (Управление в сфере науки, технологий и инноваций)
Кто читает:
Департамент образовательных программ
Когда читается:
1-й курс, 1-4 модуль
Онлайн-часы:
20
Охват аудитории:
для своего кампуса
Язык:
английский
Контактные часы:
68
Course Syllabus
Abstract
This compulsory course for students of the Master Program ‘Science, Technology and Innovation Management and Policy’ at the National Research University Higher School of Economics (HSE). It is delivered during both years of studies, and its length is 456 academic hours in total of which 132 are classroom hours and 324 hours are devoted to self-study.
The first part of the course (1st year) addresses the design, preparation and implementation of research projects. Its central objective is to equip students with the knowledge and skills necessary to independently plan and pursue academic research. To do so, the course starts with an outline of the main philosophical assumptions of qualitative and quantitative research methodologies. Students will learn to critically reflect on the implications these assumptions have for the research design and methodology. Further, the course discusses the key steps of scientific work – research topic identification and problematization, questions and hypotheses formulation, writing a comprehensive literature review, etc. Particular attention is given to the research methods often used in the field of STI studies: survey, interview, case study, secondary statistical data analysis, etc. The course then continues with a block of lectures and seminars on data analysis, interpretation and presentation.
The second part of the course (2nd year) is designed to extend students’ expertise in the field of STI studies: to introduce them to the forefront research topics and practical issues, addressed by experts and academic community; to share the first-hand experience of using different methods for STI-related research projects; and to discuss the typical mistakes and helpful research tips. Equally, the course aims to assist students in choosing relevant topics for their master research, writing their master theses research proposals (MTRPs), and their further realization in master theses.
The course is reading- and writing-intensive. The final grade is based on the number of activities organized during the two years of studies.
Learning Objectives
- To provide students with practical knowledge and skills necessary for the successful development of a research proposal and further realization of their research projects (Year 1).
- To broaden students’ knowledge on social studies research methods, especially those traditionally used in STI studies (Year 1).
- To train students’ analytical and critical thinking skills (Year 1).
- To extend students’ expertise in the field of STI (Year 2).
- To assist students in identifying relevant topics for their master research, and developing proper research design (Year 2).
- To equip students with knowledge and skills necessary for the successful development of MTRPs and further realization of their research projects (Year 2).
- To train students’ analytical and critical thinking skills (Year 2).
Expected Learning Outcomes
- Ability to devote resources to long-term management strategies and collaboration with research base for improving management concepts
- Ability to identify and communicate the form and amount of information needed for decision making; check completeness, process and interpret information
- Ability to identify and describe problems, develop problem solution strategies, find information and data sources and process these.
Course Contents
- Year 1. 1.1. Introduction to the course
- Year 1. 1.2. Term paper guidelines and regulations
- Year 1. 2. STI studies: overview of the academic field
- Year 1. 3.1. Research design and its key elements: research topic, problem, questions, goals, hypotheses
- Year 1. 3.2. Literature review: strategies and algorithms
- Year 1. 3.3. Research proposal: structure and content
- Year 1. 4.1. Research methodologies and method selection
- Year 1. 4.2. Documents as empirical research data: systemic literature review, meta-analysis, content analysis
- Year 1. 4.3. Survey research
- Year 1. 4.4. Interview and focus group
- Year 1. 4.5. Sample
- Year 1. 4.6. Case study
- Year 1. 5. Using AI for research
- Year 1. 6.1. Introduction to data analysis
- Year 1. 6.2. Quantitative data analysis
- Year 1. 6.3. Qualitative data analysis
- Year 1. 7. TP research outline
- Year 2. 8.1. Introduction to the course. Master thesis guidelines and regulations.
- Year 2. 8.2. Research basics: a brief tour to research design and academic writing
- Year 2. 9.1. Science in/for the modern world: new challenges and responses
- Year 2. 9.2. Un-isolated science: a dialogue with society and government
- Year 2. 9.3. Commercialization of research: strategies and barriers
- Year 2. 9.4. Social impact of technological progress
- Year 2. 10. MT training
- Year 2. 11.1 MTRPsConsultations on individual research projects are provided on request.
Assessment Elements
- Exam 1 part (Year 1)Exam 1 part is written, synchronous, ‘close book’ and covers the topics of research design and data collection methods. It is organized after Module 2. The questions are published no later than 3 weeks before the exam.
- Master Thesis Research Proposal (written, Year 2)MTRP is a brief introduction of a research project designed for a master thesis. It should include the following elements: - Title; - Introduction, including (preliminary) literature review and problem statement; - Research questions and/or hypotheses; - Aims and goals; - Methodology (methods and techniques to be used, incl. explanation of the choice); - Scientific and/or practical novelty/relevance of research; - Time plan.
- Exam 2 part (Year 1)The Exam 2 takes place in a computer lab and is conducted in an ‘open-book’ format – students are allowed to use their notes, textbooks, and online resources. All analyses and visualizations must be completed during the exam session and submitted in Word format, including both outputs and interpretations. The Exam 2 part consists of two tasks: - Data Analysis Task Students are with a dataset and a short questionnaire. Using Jamovi, they have to perform descriptive statistical analysis. The task will also include identifying and describing at least two relevant open data sources for their research topics. - Data Visualization Task Students have to create visualizations for given datasets using DataWrapper. Each visualization should be accompanied with a short interpretation. Tasks cover various types of data, and students are expected to select the most appropriate types of visualizations.
- Term Paper Research Outline (Year 1)TPRO is a brief introduction of a research project designed to write a term paper. It should include the following elements: - Title; - Introduction, including (preliminary) literature review and problem statement; - Research questions and/or hypotheses; - Aims and goals; - Methodology (methods and techniques to be used, incl. explanation of the choice); - Discussion of the relevance of research; - Time plan. TPRO is not limited in volume, the minimum is 3 pp.
- Master Thesis Research Proposal (defense, Year 2)MTRP is to be presented and defended orally, in a form of a presentation of 15-20 minutes. The presentation should cover all the elements required in written MTRP.
- In-class assignments (Year 2)For five classes, there are special tasks designed to control the preparation for the session (based on required readings) and understanding of the topic under discussion (quizzes, short essays, work in groups, participation in group discussions, pitch presentations, etc.). Each task is evaluated according to a 2-points scale, where 0 = fail, 1 – competed, but with deficiencies (no proper argumentation, no demonstration of the knowledge gained in class and/or in obligatory reading, etc.), 2 = perfect. The grade for this control form equals to the sum of the points a student gets during the course.
- Attendance (Year 1)The grade for this control form equals to a number of classes (each class = 4 academic hours) attended during the course. It is rounded to 10 if the number is higher.
Interim Assessment
- 2025/2026 4th moduleYear 1 = 29% Exam 1 part + 29% TP Research Outline + 29% Exam 2 part + 13% Attendance The Year 1 grade is considered for the midterm assessment, although only the total grade for the course appears in students’ diplomas.
- 2026/2027 3rd moduleGrading formulae: Year 2 = 5*10% In-class assignment + 29% MTRP (written) + 21% MTRP (defense)
Bibliography
Recommended Core Bibliography
- Alvesson M., Spicer A. (2016) (Un)Conditional surrender? Why do professionals willingly comply with managerialism // Journal of Organizational Change Management, 29(1). – 29-45.
- Content analysis : an introduction to its methodology, Krippendorff, K., 2004
- Content analysis : an introduction to its methodology, Krippendorff, K., 2013
- Jenny Rowley. (2014). Designing and using research questionnaires. Management Research Review, (3), 308. https://doi.org/10.1108/MRR-02-2013-0027?utm_campaign=RePEc&WT.mc_id=RePEc
- Martin, B. R. (2016). Twenty challenges for innovation studies. Science & Public Policy (SPP), 43(3), 432–450. https://doi.org/10.1093/scipol/scv077
- Timothy J. Ellis, & Yair Levy. (2008). Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.A95F4B40
Recommended Additional Bibliography
- 9781351968478 - Pan, M. Ling - Preparing Literature Reviews : Qualitative and Quantitative Approaches, 5th ed. - 2017 - Routledge - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1360463 - nlebk - 1360463
- Case study research : principles and practices, Gerring, J., 2007
- Conducting research literature reviews : from the Internet to paper, Fink, A., 2005
- Haunberger, S. (2016). International Handbook of Survey Methodology. E. D. de Leeuw, J. J. Hox & D. A. Dillman, 2008. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.B0965933
- How to do your research project : a guide for students in education and applied social sciences, Thomas, G., 2013
- Krippendorff, K. (DE-588)136072429, (DE-576)161833357. (2004). Content analysis : an introduction to its methodology / Klaus Krippendorff. Thousand Oaks, Calif. [u.a.]: Sage. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.110340264
- Ligia MUNTEAN JEMNA. (2016). Qualitative And Mixed Research Methods In Economics: The Added Value When Using Qualitative Research Methods. Journal of Public Administration, Finance and Law, (9), 154. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.aic.jopafl.y2016v9p154.167
- Norman M. Bradburn, Seymour Sudman, & Brian Wansink. (2004). Asking Questions : The Definitive Guide to Questionnaire Design —— For Market Research, Political Polls, and Social and Health Questionnaires: Vol. Rev. ed. Jossey-Bass.
- Research design : qualitative, quantitative and mixed methods approaches, Creswell, J. W., 2009
- Seawright, J., & Gerring, J. (2008). Case Selection Techniques in Case Study Research: A Menu of Qualitative and Quantitative Options. Political Research Quarterly, 61(2), 294–308. https://doi.org/10.1177/1065912907313077
- Writing scientific research articles : strategy and steps, Cargill, M., 2021