Www.uis.unesco.org Measuring Science, Technology and Innovation (STI): Definitions from a statistical perspective ECO - UIS Regional Workshop on Science,

Slides:



Advertisements
Similar presentations
Scope and method of pilot survey in China Yang kuan kuan Deputy director-general of office on Leading group of the Second National Economic Census under.
Advertisements

National Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics in Turkey Devrim YAĞAN 10 September 2013 Ankara.
Definitions of R&D, innovation and S&T activities
Science, Technology and Innovation Data Hashemite Kingdom of Jordan
Measuring Science, Technology and Innovation (STI): Definitions from a statistical perspective NATIONAL TRAINING WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION.
Measuring innovation: Main definitions - Part II South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Measuring innovation CENTRAL ASIAN SUB-REGIONAL CONSULTATION MEETING ON SCIENCE, TECHNOLOGY AND INNOVATION (STI) STATISTICS AND INDICATORS Tashkent, Uzbekistan.
Measuring innovation: Main definitions - Part I
Measuring Science, Technology and Innovation (STI): Definitions from a statistical perspective Regional Workshop on Science, Technology and Innovation.
Measuring Research and Development: Definitions from a statistical perspective West Africa Regional Science, Technology and Innovation.
Measuring Science, Technology and Innovation (STI): Definitions from a statistical perspective South East Asian Regional Workshop on.
R&D Surveys: Advice from the Frascati Manual National training workshop Amman, Jordan October 2010.
Measuring Science, Technology and Innovation: Definitions from a statistical perspective SUB-REGIONAL HANDS-ON TRAINING ON SCIENCE,
Measuring Research and Experimental Development (Part 2) SEMINAR – WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION INDICATORS Gaborone,
Measuring innovation South Asian Regional Workshop on Science, Technology and Innovation Statistics Kathmandu, Nepal 6-9 December 2010.
Pespectives for Engineering and Technology in Portugal” Lisbon, 22 November 1999 Giorgio Sirilli Institute for Studies on Scientific Research and Documentation.
Introduction to the Oslo Manual: main definitions (Part II) Introduction to the Oslo Manual: main definitions (Part II) ECO - UIS Regional.
University of Vienna Rectorate – Office of the Rectorate May 30, 2008 Claudia Kögler University of Vienna, Office of the Rectorate.
The value of information is directly linked to how it helps decision makers achieve the organization’s goals Discuss why it is important to study and understand.
1 IS112 – Chapter 1 Notes Computer Organization and Programming Professor Catherine Dwyer Fall 2005.
The New Economy, High Tech Industries and the Role/Limits of State Economic Development Policy.
Statistical Office of the Republic of Serbia National Health Accounts Belgrade May 13, 2014 Group for Satellite Accounts.
1 “European Innovation Scoreboard (2002) “European Innovation Scoreboard (2002)” Master in Eng. and Technology Management Science, Technology and Innovation.
Pesewa Presentations. The Importance of the Knowledge Base Key condition for international marketing success Companies need to accumulate data and information.
PRESENTATION ON THE SCIENTIFIC AND TECHNOLOGICAL ACTIVITIES 29 November 2007.
Introduction to the Oslo Manual: main definitions (Part I)
The measurement of Innovation An historical perspective The “Frascati Manual” and the “Oslo Manual” S&T indicators Innovation indicators Some evidence.
PRESENTATION START.
Measuring R&D in the social sciences: data availability and gaps Laudeline Auriol, OECD Strategic Workshop: Addressing the Shortage of Data on the Social.
Regulatory Update Ellen Leinfuss SVP, Life Sciences.
Guidelines to Surveys on R&D (Frascati Manual) Launch Workshop of the Qatar R&D Survey: s3 Four Seasons Hotel, Doha, Qatar 28 to 30 October Michael.
R&D personnel & expenditure by type and function; outputs Launch Workshop of the Qatar R&D Survey: s6 Four Seasons Hotel, Doha, Qatar 28 to 30 October.
Environmental Statistics of Jordan Department of Statistics Jordan Munther Badriyah Head of Environment Statistics Division 20-22/10/-2010 Santiago - Chili.
Business Computing 550 Lesson 1. Fundamentals of Information Systems, Fifth Edition An Introduction to Information Systems in Organizations.
Principles of Information Systems Eighth Edition
INFORMATION SYSTEMS Overview
The measurement of innovation Advanced Workshop “Science, Technology and Society” Lisbon, 24 November 1999 The measurement of innovation Giorgio Sirilli.
2 Systems Architecture, Fifth Edition Chapter Goals Describe the activities of information systems professionals Describe the technical knowledge of computer.
National Statistical Committee of the Kyrgyz Republic Science, technology and innovation statistics in the Kyrgyz Republic Training workshop for ECO countries.
Measuring Inbound Diffusion from Publicly Funded Research Organizations to Innovative Firms: A Statistical Perspective Frances Anderson Science, Innovation.
Prospects for standardising SSH data collection Strategic Workshop: Addressing the Shortage of Data on the Social Sciences and Humanities.
1 SMEs – a priority for FP6 Barend Verachtert DG Research Unit B3 - Research and SMEs.
ADS511 RESEARCH METHODOLOGY AND DATA ANALYSYS
Module 5b: Measuring Household ICT Ms Sheridan Roberts, Consultant Information Society Statistics Tuesday 10 March 2009.
Country Report (Iran) Hamidreza Pouyanfar Senior Expert of Communications and Storage Statistics Statistical Center of Iran Statistical Center of Iran.
Supporting Researchers and Institutions in Exploiting Administrative Databases for Statistical Purposes: Istat’s Strategy G. D’Angiolini, P. De Salvo,
Chapter 1 An Introduction to Information Systems
International Atomic Energy Agency Roles and responsibilities for development of disposal facilities Phil Metcalf Workshop on Strategy and Methodologies.
How to measure the impact of R&D on SD ? Laurence Esterle, MD, PhD Cermes and Ifris France Cyprus, 16 – 17 October L. ESTERLE Linking science and.
Research and Development (Issue 9) 1 Gulab Singh UN STATISTICS DIVISION Economic Statistics Branch National Accounts Section.
Agency of the Republic of Kazakhstan on Statistics R&D and Innovation Statistics: current status and future prospects Tehran, 2013.
R&D Operation Best Practice for Start Up Start a Business And Change the world Alfred Boediman, Ph.D.
Principles of Information Systems Eighth Edition Chapter 1 An Introduction to Information Systems.
End Show What is Information Communication Technology ? Processing of data via computer Using the technologies from computing, electronics, and telecommunications.
Science, Technology, Technic
R&D statistics in EU and the OECD:
Department of Biological and Medical Physics
Fundamentals of Information Systems
Clinical Engineering Lecture (3).
MANAGEMENT INFORMATION SYSTEMS
Guidelines for planning the costs of statistical surveys and other work implemented by the organisational units of official statistics services.
Item III.3: Research and Development
Research and Development
Research and Development
Research and Development
Шинжлэх ухаан, технологи, инновацийг хэмжих нь: статистикийн нэр томъёонууд “Шинжлэх ухаан, технологи, инновацийн шалгуур үзүүлэлт” үндэсний сургалт семинар Улаанбаатар,
Rating in 2002 for funding from 2003
What is a System? A system is a collection of interrelated components that work together to perform a specific task.
Country Report of the Statistical Center of Iran for Workshop on Integrated Economic Statistics and Informal Sector for ECO Member Countries November.
Presentation transcript:

Measuring Science, Technology and Innovation (STI): Definitions from a statistical perspective ECO - UIS Regional Workshop on Science, Technology and Innovation (STI) Indicators Tehran, Iran 8-10 December 2013 Rohan Pathirage, UIS

FRAMEWORKS

S&T: a linear model? The model Indicators

From model to indicators Inputs (R&D expenditure, Human Resources) Black Box (innovation) Output (patents, publications, high-tech products) R&D survey R&D personnel R&D Expenditure Innovation statistics Administrative data (patents) Publications databases High-tech data (trade)

A systems approach Innovation is dynamic and complex:  Many actors, many linkages  Feedback and feed-forward loops  innovation is non-linear

Standardisation of indicators INTERNATIONAL LEVEL REGIONAL LEVEL NATIONAL LEVEL INSTITUTIONAL LEVEL ConsensusStandards YOU ARE HERE

UNESCO methodologies and frameworks  Recommendation concerning the International Standardization of Statistics on Science and Technology, 1978  UNESCO Manual for Statistics on Scientific and Technological Activities ST-84/WS/12, Paris, 1984  International Standard Classification of Education - ISCED 1997 and ISCED 2011

“Frascati family” of OECD Manuals  Frascati Manual  Oslo Manual  Canberra Manual  Patent Manual

Other relevant OECD frameworks  Handbook of Economic Globalisation Indicators  Guide to Measuring the Information Society  Framework for Biotechnology Statistics  Productivity manual

DEFINITIONS

STA: Definition Scientific and Technological Activities (STA) can be defined as all systematic activities which are closely concerned with: generation, advancement, dissemination, and application of scientific and technical knowledge and applies to: all fields of science and technology i.e. NS and SSH.

STA coverage Scientific and technological activities comprise:  Research and experimental development (R&D)  Scientific and technical education and training (STET)  Scientific and technological services (STS)

An indicators “framework” R&D STET STS STA

Research and Development  First edition published in 1963!  Sixth edition published in 2002  Revision has started  De facto world standard

R&D: Definition Research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society, and the use of this stock of knowledge to devise new applications. Basic criterion: presence of an appreciable element of novelty and the resolution of scientific and/or technological uncertainty.

R&D covers 3 activities  Basic research (no particular application or use in view)  Applied research (directed primarily towards a specific practical aim or objective)  Experimental development (directed to producing new materials, products or devices)

Exclusions Excluded from R&D  Education and training  Scientific and technological services / Other science and technology activities  Other industrial activities  Administration and other supporting activities  these will come back

An indicators “framework” R&D STET STS STA

STET: Definition Scientific and technological education and training at broadly the third level (STET) can be defined as all activities comprising:  Specialized non-university higher education  All university education  Organized lifelong training for scientists and engineers

Limits between R&D and teaching and training  Research and teaching very closely linked in higher education  Results of research feed into teaching, and information and experience gained in teaching can often result in an input to research  Difficult to define where education and training of staff and students end and R&D activities begin, and vice versa  Elements of novelty distinguish R&D from routine teaching and other work-related activities

Borderline between R&D and education and training at ISCED level 6 Education and training at level 6 R&DOther activities Teachers1. Teaching students at level Supervision of R&D projects required for student qualification at level 6 5. Teaching at levels lower than level 6 2. Training students at level 6 in R&D methodology, laboratory work, etc. 4. Supervision of other R&D projects and performance of own R&D projects 6. Other activities Post- graduate students 1. Course work for formal qualification. 2. Performing and writing up independent studies (R&D projects) required for formal qualification 4. Teaching at levels lower than level 6 3. Any other R&D activities 5. Other activities

STS: Definition Scientific and technological services (STS) can be defined as any activities:  Concerned with scientific research and experimental development  Contributing to the generation, dissemination and application of scientific and technical knowledge

STS: detailed activities  S&T information and documentation activities provided by libraries, archives, databanks, etc  S&T services provided by museums, botanical and zoological gardens, etc  Translation and editing of S&T publications  Collection of data in the field of NSE. eg. meteorological observations  Activities related to searching oil and minerals resources  Collection of data on human, social, economic and cultural phenomena, by National Statistical Offices  Testing, standardization, and quality control activities by National Bureau of Standards  Extension, advisory services, feasibility studies, etc  Patents and licenses activities by National Patent Office.

Other related scientific and technological activities  Scientific and technical information services  General purpose data collection  Testing and standardisation  Feasibility studies  Specialised health care  Patent and licence work  Policy-related studies  Routine software development

An indicators “framework” R&D STET STS STA Innovation + Other industrial activities Admin and other sup. activities

Innovation: the Oslo Manual  Jointly with the EC  Part of the Frascati family  Used for CIS and national innovation surveys  1 st edition 1992  2 nd edition 1997  coverage expanded to services  3 rd edition 2005  including non- technological innovation

Innovation: definition (Oslo Manual 2005) The implementation of:  New or significantly improved product (good or service); or  New or significantly improved process; or  New marketing method; or  New organisational method.

Innovation activities Innovation activities are defined as:  all steps which actually, or are intended to, lead to the implementation of innovations.  some innovation activities are themselves innovative, others are not novel activities but are necessary for the implementation of innovations.

LIMITS AND BORDERLINES

Borderline between R&D and other industrial activities Included Prototypes Pilot plant Excluded After-sales service & troubleshooting Patent and licence work Routine tests Data collection Public inspection control, enforcement of standards, regulations Divided Industrial design and drawing Industrial engineering and tooling up Trial production

Borderline between experimental and pre-production development Included:  To make further technical improvements on the product or process Excluded:  To develop markets, to do pre-production planning or to get a production or control system working smoothly

Problems at the borderline between R&D administration and indirect supporting activities Administration  Personnel data cover only R&D proper Management, administration and clerical activities included only when these contribute directly to R&D projects and are undertaken exclusively for R&D  Expenditure data cover the full cost of R&D, including the indirect supporting activities which are treated as overheads Service or indirect support activities (e.g. transportation, storage, cleaning, repair, maintenance and security)  Excluded from personnel data but included in expenditure data as overhead

Clinical trials  Clinical trial phases 1, 2 and 3 included in R&D  Phase 4 clinical trials excluded from R&D, except if they bring about a further scientific or technological advance

Criteria for distinguishing R&D from related activities  Basic criterion: an appreciable element of novelty and the resolution of scientific and/or technological uncertainty.  Supplementary criteria: -What are the objectives of the project? -What is new or innovative about this project? -What staff is working on the project? -What methods are being used? -Under what programme is the project funded? -How general are the findings or results of the project likely to be? -Does the project fall more naturally into another scientific, technological or industrial activity?

Examples: distinguishing R&D and related activities  In the field of medicine, routine autopsy on the causes of death is the practice of medical care and is not R&D; special investigation of a particular mortality to establish the side effects of certain cancer treatments is R&D. Similarly, routine tests such as blood and bacteriological tests carried out for doctors are not R&D, whereas a special programme of blood tests in connection with the introduction of a new drug is R&D.  The keeping of daily records of temperatures or of atmospheric pressure is not R&D but the operation of a weather forecasting service or general data collection. The investigation of new methods of measuring temperature is R&D, as are the study and development of new systems and techniques for interpreting the data.

Examples: distinguishing R&D and related activities (cont.)  R&D activities in the mechanical engineering industry often have a close connection with design and drawing work. In small and medium-size enterprises (SMEs) in this industry, there is usually no special R&D department, and R&D problems are mostly dealt with under the general heading “design and drawing”. If calculations, designs, working drawings and operating instructions are made for the setting up and operating of pilot plants and prototypes, they should be included in R&D. If they are carried out for the preparation, execution and maintenance of production standardisation (e.g. jigs, machine tools) or to promote the sale of products (e.g. offers, leaflets, catalogues of spare parts), they should be excluded from R&D.

Identifying R&D in software development  Completion must be dependent on a scientific and/or technological advance  Aim of the project must be the systematic resolution of a scientific and/or technological uncertainty  In addition to the software that is part of an overall R&D project, the R&D associated with software as an end product should also be classified as R&D

R&D in software This is not to be counted as R&D:  Business application software and information system development using known methods and existing software tools  Support for existing systems  Converting and/or translating computer languages  Adding user functionality to application programmes  Debugging of systems  Adaptation of existing software  Preparation of user documentation

Examples of R&D in software  R&D producing new theorems and algorithms in the field of theoretical computer science  Development of information technology at the level of operating systems, programming languages, data management, communications software and software development tools  Development of Internet technology  Research into methods of designing, developing, deploying or maintaining software  Software development that produces advances in generic approaches for capturing, transmitting, storing, retrieving, manipulating or displaying information  Experimental development aimed at filling technology knowledge gaps as necessary to develop a software programme or system  R&D on software tools or technologies in specialised areas of computing (image processing, geographic data presentation, character recognition, artificial intelligence and other areas)

Criteria for identifying R&D in services  Links with public research laboratories  The involvement of staff with PhDs, or PhD students  The publication of research findings  The construction of prototypes or pilot plants

Examples of R&D in banking and insurance  Mathematical research relating to financial risk analysis  Development of risk models for credit policy  Experimental development of new software for home banking  Development of techniques for investigating consumer behaviour for the purpose of creating new types of accounts and banking services  Research to identify new risks or new characteristics of risk that need to be taken into consideration in insurance contracts  Research on social phenomena with an impact on new types of insurance (health, retirement, etc.), such as on insurance cover for non-smoker  R&D related to electronic banking and insurance, Internet-related services and e-commerce applications  R&D related to new or significantly improved financial services (new concepts for accounts, loans, insurance and saving instruments)

Examples of R&D in other service activities  Analysis of the effects of economic and social change on consumption and leisure activities  Development of new methods for measuring consumer expectations and preferences  Development of new survey methods and instruments  Development of tracking and tracing procedures (logistics)  Research into new travel and holiday concepts  Launch of prototype and pilot stores

Summary R&D STET STS STA Innovation + Other industrial activities Admin and other sup. activities

REFERENCES Can be found in the supporting document

Thank you!