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Measurement of STI

2021/2022
Учебный год
ENG
Обучение ведется на английском языке
6
Кредиты
Статус:
Курс обязательный
Когда читается:
1-й курс, 3 модуль

Преподаватели


Фурсов Константин Сергеевич

Course Syllabus

Abstract

Decision-making in the Science and Technology requires evidence expressed in various indicators measuring key aspects of generation and dissemination of new scientific and technical knowledge for generation of innovation and wider economic and social development as well as sustainable economic growth. The course presents internationally recognized approaches for R&D measurement and guidelines for compiling R&D indicators. Understanding of key trends of R&D is important to explain how national innovation systems are functioning to provide evidence for better policies and informed decision-making.
Learning Objectives

Learning Objectives

  • To provide students with basic knowledge on international standards and methodology of R&D statistics
  • To introduce students to the key data sources for analysis of scientific and technological development
  • To develop students’ abilities to present and interpret R&D indicators for decision-making and policy advice
  • To train students’ analytical skills of discussing problems related to scientific and technological development
Expected Learning Outcomes

Expected Learning Outcomes

  • Ability to apply modern techniques and methods of data collection, advanced methods of its processing and analysis, practise smart data analytics systems while doing managerial and research tasks (GPC2)
  • Ability to take grounded managerial decisions, assess its operational and organizational effectiveness and social importance, support its realization in conditions of complicated (incl. cross-cultural) and dynamic environment (GPC3)
  • Ability to analyze problematic situations applying the system approach, work out a strategic plan (UC1)
  • Ability to organize and lead a team, work out a team strategy for goal achievement (UC3)
  • Ability to determine and realize the priorities of self-activities and ways of its improvement based on self-assessment (UC6)
  • Ability to assess and review company strategy implementation and develop and monitor measures to reach strategic objectives (PC1)
Course Contents

Course Contents

  • I. 3. Key innovation indicators
  • II. 8. Towards next generation of data and indicators
  • I. 1. Why and how measuring innovation
  • II. 6. Innovation in all sectors of the economy
  • II. 5. Business innovation statistics
Assessment Elements

Assessment Elements

  • non-blocking Participation
    Participation includes questions to lecturers, practical sessions, group tasks, and short presentations on the issues considered in the course or master-class(es) that will provide students indispensable skills for measuring science, technology, and innovation issues. During practical sessions, students will learn how to construct indicators, make effective searches in OECD, Eurostat and UNESCO databases as well as IP Statistics Data Center and citation indices (Web of Science and Scopus), and give interpretation to the measurement results. In addition, they will learn about different sources of statistical information used in STI studies. Typical tasks: group work and tasks, short reports, oral presentations.
  • non-blocking Mid-term test
  • non-blocking Home assignments
  • non-blocking Exam
Interim Assessment

Interim Assessment

  • 2021/2022 3rd module
    0.2 * Home assignments + 0.1 * Participation + 0.5 * Exam + 0.2 * Mid-term test
Bibliography

Bibliography

Recommended Core Bibliography

  • Angathevar Baskaran. (2016). UNESCO Science Report: Towards 2030 by United Nations Educational Scientific and Cultural Organization (UNESCO), Paris: UNESCO Publishing, 2015, 820pp. Institutions and Economies (Formerly Known as International Journal of Institutions and Economies), (2), 125. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.umk.journl.v8y2016i2p125.127

Recommended Additional Bibliography

  • Archibugi, D. (1992). Patenting as an indicator of technological innovation: a review. https://doi.org/10.1093/spp/19.6.357
  • Gokhberg, L. M., Shmatko, N., & Auriol, L. (2016). The Science and Technology Labor Force : The Value of Doctorate Holders and Development of Professional Careers. [Cham] Switzerland]: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1175216
  • Griliches, Z. (1990). Patent Statistics as Economic Indicators: A Survey. Journal of Economic Literature, 28(4), 1661–1707.
  • James Ravenscroft, Maria Liakata, Amanda Clare, & Daniel Duma. (2017). Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements. PLoS ONE, 12(3), e0173152. https://doi.org/10.1371/journal.pone.0173152
  • Leonid Gokhberg, Konstantin Fursov, Ian Miles, & Giulio Perani. (2013). Developing and using indicators of emerging and enabling technologies. Chapters, 349. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.h.elg.eechap.14427.15
  • Lutz Bornmann. (2013). What is societal impact of research and how can it be assessed? a literature survey. Journal of the American Society for Information Science and Technology, 2, 217. https://doi.org/10.1002/asi.22803