Delivered at:: Department of Educational Programmes

Course type:: Compulsory course

When:: 1 year, 1 module

Instructors

Vlasova, Valeriya

Chichkanov, Nikolai

Full Syllabus Ask Question

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

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

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

1. Why and how measuring R&D
2. Basics of R&D statistics
3. Measuring R&D expenditures
4. Measuring R&D personnel
5. Measuring R&D outputs
6. Basics of bibliometric indicators
7. Indicators of intellectual property rights
8. Basics of technology measurement

Assessment Elements

Home assignment
Home assignment (HA) is an individually written task prepared on the topic announced during each lecture. HA is announced at the end of each lecture and has to be submitted by Sunday 23:59, by e-mail to the lecturers. Students receive grades for the submitted tasks within a week. Each student is asked to submit two any of the HA in the form of mini-essay around 1000 words following the topics that were provided. HA (if not mentioned specifically) should include: a short introduction (why the issue matters), a reasoned (evidence-based) written reply to the question asked, and a short conclusion (the main finding).
Exam
The final exam is an open-book written task comprising closed questions (single answer or multiple choice) and open-ended questions (around 5 questions in total) to be answered in a comprehensive way in 60 minutes. Questions have different weights and give 100 points in total recalculated into 10-point scale.

Interim Assessment

2024/2025 1st module
0.5 * Exam + 0.5 * Home assignment

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

Authors

Зинченко Екатерина Андреевна
Ильясова Дильнара Маратовна
PIKALOVA ANNA GENNADIEVNA
VLASOVA VALERIYA VADIMOVNA

Master’s Programme 'Science, Technology and Innovation Management and Policy'

Measurement of R&D