Master
2022/2023
Measurement of R&D
Type:
Compulsory course (Science, Technology and Innovation Management and Policy)
Area of studies:
Management
Delivered by:
Department of Educational Programmes
When:
1 year, 3 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Valeriya Vlasova
Master’s programme:
Governance of Science, Technology and Innovation
Language:
English
ECTS credits:
3
Contact hours:
32
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
- 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
- In-class participation
- Home assignmentHome assignment (HA) is an individually written task prepared within a week period on the topic announced during each lecture. HA are to be submitted by the beginning of the lecture coming a week after the task was announced, by e-mail to the lecturer. 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). It is possible to submit no more than three HA in total. Two highest grades are be taken into consideration for final grade calculation.
- Exam
Interim Assessment
- 2022/2023 3rd module0.25 * Home assignment + 0.25 * In-class participation + 0.5 * Exam
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