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Campus Luigi Einaudi Turin November 12, 2015 S&T indicators: Handle with care Giorgio Sirilli ISCrES - CNR

Campus Luigi Einaudi Turin November 12, 2015 S&T indicators: Handle with care Giorgio Sirilli ISCrES - CNR

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Page 1: Campus Luigi Einaudi Turin November 12, 2015 S&T indicators: Handle with care Giorgio Sirilli ISCrES - CNR

Campus Luigi Einaudi

TurinNovember 12, 2015

S&T indicators: Handle with care

Giorgio SirilliISCrES - CNR

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Outline of the presentation

STI indicatorsThe manualsThe most relevant indicatorsUses and abuses of indicatorsConcluding remarks

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Statistic: A numerical fact or datum, i.e. one computed from a sample.

Statistical data: Data from a survey or administrative source used to produce statistics.

Statistical indicator: A statistic, or combinations of statistics, providing information on some aspect of the state of a system or of its change over time. (For example, gross domestic product (GDP) provides information on the level of value added in the economy, and its change overtime is an indicator of the economic state of the nation.)

Indicators

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Indicators are a technology, a product, which- governs behaviour- is modified by users (outside of the producer community)- develops in response to user needs

Data sources– Surveys, administrative data, private files, case studies– Data collection is informed by manualsData populate statistics which can be indicatorsDecisions are taken on the basis of indicators

Indicators

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Science and technology indicators

S&T indicators are defined as “a series of data which measures and reflects the science and technology endeavor of a country, demonstrates its strengths and weaknesses and follows its changing character notably with the aim of providing early warning of events and trends which might impair its capability to meet the country’s needs”.

Indicators can help “to shape lines of argument and policy reasoning. They can serve as checks, they are only part of what is needed”.

(OECD, 1976)

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STI indicators

•Research and development (R&D)•Innovation statistics•Intangible investment•Patents•Technology balance of payments•Trade of high-tech products•Human resources•Venture capital•Bibliometrics•Public perception of science and technology

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The evolution of STI indicators

The first attempt to measure S&T in 1957Frascati Manual (1963)The Frascati manual “family”A continous process of broadening and deepening: from

macro to micro, from public to privateThe role of international organisationsThe dialogue between producers and users

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After WWII the main issue in STI policy was the social responsibility of science. Now the attention is placed on the social return of investment on STI and, in particular, on innovation and social objectives

Weak innovation theories do not allow a straighforward interpretation of indicators

A tension: the simplification of policy makers (e.g. the 3% R&D/GDP ratio) versus deepening of analysts

The time dimension: demand of indicators and analyses (quick and dirty) but …. the construction of indicators is a “heavy ship” (more than 10 years to build)

The relationship between producers and users

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Producers of indicators

National Statistical InstitutesOECDEUROSTATOther sources (European Patent Office, USPTO, JAPO)Private sources (e.g bibliometrics)Scholars

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OECD and member countriesEurostat and the relevant Commission DGs and member

states of the EUUNESCOUnited Nations Institute of StatisticsRICYT and member countriesNEPAD is moving in this direction

International organisations active in STI indicators

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OECD Group of ‘National Experts on Science and Technology

Indicators’ - NESTI

Producers of indicators

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Manuals are codified knowledge

They are guidelines for the collection and interpretation of data and for international comparisons of data, statistics and indicators.

They are supported by an international infrastructure (ISIC, ISCED and ISCO)

Manuals provide a language of discourse and they behave like a technology (our guiding assumption)

What is a Manual?

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The OECD “Frascati Manual family”

1. The Measurement of Scientific and Technical Activities: Proposed Standard Practice for Surveys of Research and Development. Frascati Manual (2015)

2. Proposed Guidelines for Collecting and Interpreting Technological Innovation Data Oslo Manual (2005)

3. Patent Statistics Manual (1994)4. Manual on the Measurement of Human Resources in

Science and Technology Canberra Manual (1995)5. Proposed Standard Practice for the Collection and

Interpretation of Data on the Technological Balance of Payments (1992)

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Bibliometrics Manual

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Other related manuals and classifications

System of National Accounts – SNA (CEC et al., 1994)

International Standard Industrial Classification – ISIC Rev. 3.1 (UN, 2002)

Statistical Classification of Economic Activities in the European Community – NACE Rev. 1.1 – series 2E.

Nomenclature for the analysis and comparison of scientific programmes and budgets (NABS 2007)

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The Frascati Manual

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The Frascati Manual

“The Measurement of Scientific and Technical Activities: Proposed Standard Practice for Surveys of Research and Development.

Frascati Manual”

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The R&D data

Money

1.Expenditure (GERD)

2.Budget appropriations (GBAORD)

People

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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 knowledge to devise new applications

Basic research

Applied research

Experimental development

Frascati Manual: The definition of R&D

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Frascati Manual: the definition of R&D personnel

R&D personnel All persons employed directly on R&D should be counted, as well as those providing direct services such as R&D managers, administrators, and clerical staff

Researchers

Technicians and equivalent staff

Other supporting staff

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R&D surveys

Census surveyYearly survey using a questionnaireSkepticism at the beginning of the exerciseBorderline between R&D and non-R&D activitiesAvaliability of information at the level of performerUse of R&D data for political and administrative purposesJuridical legitimation of the definitionResponse rateData quality: comparable with other economic statistics

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R&D resources

OECD Science, Technology and •Industry Scoreboard, 2015

Italy

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R&D resources

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OECD Science, Technology and Industry Outlook, 2008

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The R&D/GDP objective

Source: OECD, estimetaes based on OECD MSTI database, June 2014.

Objectives of R&D expenditure and differences with present levels - 2014

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Oslo Manual

Harmonised questionnaire

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Types of innovation

Product innovation (goods and services)

Process innovation

Marketing innovation

Organisational innovation

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Types of innovation

A product innovation is the introduction of a good or service that is new or significantly improved with respect to its characteristics or intended uses. This includes significant improvements in technical specifications, components and materials, incorporated software, user friendliness or other functional characteristics.A process innovation is the implementation of a new or significantly improved production or delivery method. This includes significant changes in techniques, equipment and/or softwareA marketing innovation is the implementation of a new marketing method involving significant changes in product design or packaging, product placement, product promotion or pricing.An organisational innovation is the implementation of a new organisational method in the firm’s business practices, workplace organisation or external relations.

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Innovation survey

Information based on the evaluation of respondentsSample surveyChain-linked modelItems

four types of innovationinnovation expenditurepublic supportcooperation in innovationimpact of innovationobstacles to innovationintellectual property rights…..

Main indicators:percantage of innovating firmsinnovation expenditureturnover linked to innovation

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The harmonised questionnaire

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OECD Science, Technology and Industry Scoreboard, 2013

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Innovation expenditure of Italian firms

R&S = 55%R&S = 38%

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A dilemma for users

• BERD (Frascati), Annual, all NACE industries, no size threshold

• CIS (Oslo), selected NACE industries, 10 employees or more, sample

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Patents

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Patents

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Statistics on patents

Indicatorspatent applicationspatents grantedcitations“patent families”

Pros and cons of the indicatoreconomic value of the invention inventions non patented are excludedpatent propensity of sectorsdifferent practices across countrieschanges in legislation

Sources of dataNational patent offices, international organisations,

commercial providers

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A patent for industrial invention protects a technical solution (an apparatus, a device, a substance or an industrial method or process, or a specific use) able to solve a problem, which fulfills the fundamental requirements of novelty, originality and industrial applicability. The technical solution is novel if it has not been disclosed, by the inventor or by third parties, worldwide before the filing date of the patent application.

An industrial design right is an intellectual property right that protects the visual design of objects that are not purely utilitarian.

An industrial design consists of the creation of a shape, configuration or composition of pattern or color, or combination of pattern and color in three-dimensional form containing aesthetic value.

An industrial design can be a two- or three-dimensional pattern used to produce a product, industrial commodity or handicraft.

Patents and designs

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Intangible investment

ReD and other intellectual property rightsSoftware and data basesBrand equity, firm-specific human capital, organisational capital

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OECD Science, Technology and Industry Outlook, 2008

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Technological balance of payments

Types of operation

patents, licences on patents, inventions, know-how, licences on know-how, trade marks, designs, technical assistance, support services of technicians and experts, personnel training, technical studies, R&S services

Survey methodologiesRole of multinationalsInternational comparability

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Technological balance of payments

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Technological balance of payments

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Technological balance of payments

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Calculation of technological intensityRatio R&D/turnoverNon-homogeneous statistical seriesThreshold valuesVariability within groups/categoriesIndirectly acquired technology

High-tech products and industries

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Manufactoring industries

High-tech (aerospace; computers, office machines; elettronica, communication; pharmaceuticals)

Medium-high-tech (scientific instrumentation; motor vehicles; electrical machinery; chemical products; other means of transportation; non-eletrical machinery)

Medium-low-tech (rubber and plastics; shipyards; other manufacturing activities; non-ferrous metals; non-metallic mineral products; metal products; oil refinering; ferrous metals)

Low-tech (paper and printing; textitles and clothing; food, beverages and tobacco; wood and furniture)

High-tech products and industries

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High-tech productsaerospace; computers and office machinery; electronics and

telecommunications; pharmaceuticals; scientific instrumentation; electrical machienery; chemicls; non-electrical machinery; weapons

Highly-intensive knowledge services

posts and telecommunications, computers and related activities, research and development, distribution of water, aerial and space transportation, financial intermediation, real estate agencies, services to enterprises, education, health and social, recreation, cultural and sports activities

High-tech products and industries

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High-tech products and industries

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High-tech products and industries

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High-tech products and industries

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Resources actually or potentially involved in the systematic generarion, advancement, diffusion, use of scientific and technological knowledge

The statistical universe of the Canberra manual is composed of highly skilled individuals, in particular individuals who have either successfully completed third-level education or who are working as professionals or technicians, for which stocks and flows are measured

Human resources for S&T

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Analisys of stocks and flowsHarmonisation at international levelVarious data sets availableEducation statistics (PhD)

Human resources for S&T

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Human resources for S&T

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Human resources for S&T

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Type of funderStage of venture capital

early stahe - explorationstart (start-up)expansion

Data sources

Venture capital

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Venture capital

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Communication amongst scientistsVarious types of scientific publications (books, articles,

reviews, comments, etc.)Features of data bases (discipline, language, etc.)Number of authors (fractioning)Indicators

PublicationsCitationsCo-citationsImpact factor of journals

No manualCommercial data scources (trasparency)

Bibliometrics

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Bibliometrics

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OECD Science, Technology and Industry Outlook, 2008

Bibliometrics

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Bibliometrics

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OECD Science, Technology and Industry Scoreboard, 2013

Public perception of S&T

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The perception of science and technology by societyEUROBAROMETER

Public perception of S&T

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Do you think that the overall influence of science and technology on society is positive or negative?

•Special Eurobarometer , Responsible Research and Innovation, Science and Technology, November 2013

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Question Total agree

Neither agree nor disagree

Total Disagree

Don’t know

Science and technology make our lives easier, more confortable and healthier

66 22 9 3

Science makes our ways of life change too fast

62 18 17 3

Science and technology could be used by terrorists in the future

77 13 5 5

Scientific and technological developments can have unforeseen side-effects that are harmful to human health and the environment

74 16 6 4

•Special Eurobarometer , Responsible Research and Innovation, Science and Technology, November 2013

Questions on the overall influence of science and technology

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We depend too much on science and not enough on faith

Total agree

Neither agree nor disagree

Total Disagree

Don’t know

All European countries 39 25 32 4

Bulgaria 66 22 7 5

Greece 62 21 14 3

Hungary 53 26 18 3

Slovakia 50 30 17 3

Netherlands 23 23 50 4

Denmark 24 24 50 2

France 25 23 47 3

Italy 42 29 24 5

•Special Eurobarometer , Responsible Research and Innovation, Science and Technology, November 2013

Science and faith: the split of Europe

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Science and faith: the split of Europe

Question: We depend too much on science and not enough on faith

Answers: Total agree

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Use of indicators

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MonitoringBenchmarkingForesightEvaluationResearch

Use of indicators

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Monitoring: Comparing the values of a set of indicators over time

Some questions:• How much does the government spend on STI?• Where does it spend it (geography and industry)?• Why does it spend it (socio-economic objectives)?• What does the government get for spending this money?

Some Publications:• European Innovation Scoreboard• OECD STI Scoreboard• OECD Science, Technology and Industry Outlook

Use of indicators

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Monitoring: Comparing the values of a set of indicators over time

Indicators:• Innovation• R&D• Capital investment• Intellectual property rights• Learning• Education• Design

Use of indicators

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Benchmarking:

1. Decide upon a set of indicators which are relevant to policy objectives, and then decide about targets to be achieved

2. Agree on a set of indicators and then select another system which is performing better

Examples:Ranking of countries and institutionsThe 3% Lisbon target and ensuing policies (focus the public

debate)

Use of indicators

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Foresight: viewing the future involving a mix of quantitative and qualitative evaluation methods, including a set of a current set of indicators. Discern likely paths for emerging technologies, possible futures for an economic region, or alternative responses to a coming problem such as the country should function when the oil runs out.

Indicators provide a background to the process but in general are too aggregated

Use of indicators

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Evaluation: concerns the effective and efficient use allocation of resources in order to achieve a set of objectives

Various methods:Quantitative (bibliometric analysis, turnover from new products,

audits, etc.) and qualitative (peer review)Research Assessment Exercise in the UK (now Research

Excellence Framework)

Use of indicators

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EU Summary Innovation Index

Composite indicator (25 indicators)

3

25

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The EU Summary Innovation Index

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The EU innovation performance indicatorSummary Innovation Index

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Summary Innovation Index (ctd)

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Summary Innovation Index for EU countries

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Profile of Italy

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OECD Science, Technology and Industry Outlook, 2008

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Ranking of universities

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Ranking of universities

Four major sources

ARWU Shangai (Shangai, Jiao Tong University)QS World University Ranking THE University Ranking (Times Higher Education)US News e World Reports (Best Global Universities)

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“Starting from 2003, ARWU has been presenting the world Top 500 universities annually based on a set of objective indicators and third-party data. ARWU has been recognized as the precursor of global university rankings and the most trustworthy league table. ARWU adopts six objective indicators to rank world universities, including:-the number of alumni and staff winning Nobel Prizes and Fields Medals, -the number of Highly Cited Researchers, -the number of articles published in journals of Nature and Science, -the number of articles indexed in Science Citation Index - Expanded and Social Sciences Citation Index, and -per capita performance. More than 1200 universities are actually ranked by ARWU every year and the best 500 universities are published.”

Academic Ranking of World Universities Shanghai Jiao Tong University

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Criteria selected as the key pillars of what makes a world class university:ResearchTeachingEmployabilityInternationalisation Facilities Social ResponsibilityInnovationArts & Culture InclusivenessSpecialist Criteria

TopUNIVERSITIES Worldwide university rankings, guides & events

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ResearchIndicators considered here include assessments of research quality amongst academics, productivity (i.e. number of papers published), citations (i.e. how recognized and referred to those papers are by other academics) and awards (e.g. Nobel Prizes or Fields Medals).

TeachingA key role of a university is the nurture of tomorrow's finest minds, inspiring the next generation of potential research academics. Typical indicators in teaching quality assessments are collation of student feedback through national student surveys, further study rate and student faculty ratio.

EmployabilityGraduate employability encompasses more than academic strength, focusing on ‘work-readiness’ - the ability to work effectively in a multi-cultural team, to deliver presentations, to manage people and projects. Common indicators in this area are surveys of employers, graduate employment rates and careers service support.

Internationalisation Here, effective indicators could be the proportion of international students and staff, the numbers of exchange students arriving and departing, the number of nationalities represented in the student body, the number and strength of international partnerships with other universities and the presence of religious facilities.

Facilities University infrastructure is an indicator which enables students to know what to expect from their university experience. Indicators such as sporting, IT, library and medical facilities, as well as the number of students societies are considered within this criterion.

Online/Distance learningThis category looks at various indicators such as student services and technology, track record, student faculty engagement, student interaction, commitment to online and reputation of the university.

Social ResponsibilityEngagement measures how seriously a university takes its obligations to society by investing in the local community as well as in charity work and disaster relief. It also analyses the regional human capital development and environmentally awareness.InnovationInnovation, the output of the universities activities and findings to economy, society and culture, has become increasingly relevant for universities.Arts & Culture

Effective indicators are the number of concerts and exhibitions organized by the institution, the number of credits and cultural awards and cultural investment.

InclusivenessThis area looks at the accessibility of the university to students, particularly at scholarships and bursaries, disability access, gender balance and low-income outreach.

Specialist CriteriaExcellence in a narrow field is as valid a claim to world-class status as competence in the round. These criteria are designed to extend credit where it's due. This category looks at accreditations and discipline rankings.

TopUNIVERSITIES Worldwide university rankings, guides & events

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Ranking of universities: the case of Italy

ARWU Shangai (Shangai, Jiao Tong University)QS World University Ranking THE University Ranking (Times Higher Education)US News e World Reports (Best Global Universities)

ARWU Shangai: Bologna 173, Milano 186, Padova 188, Pisa 190, Sapienza 191

QS World University Ranking: Bologna 182, Sapienza 202, Politecnico Milano 229

World University Ranking SA: Sapienza 95, Bologna 99, Pisa 184, Milano 193

US News e World Report: Sapienza 139, Bologna 146, Padova 146, Milano 155

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The art of using STI indicators

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As OECD admitted: “Monitoring and benchmarking are not coupled with policy evaluation (…). They are seldom used for evaluation purposes (…) but to analyse [counties’] position vis-à-vis competing countries and to motivate adaptation or more intense policy efforts (…).”

“Official statistics mainly served discourse purposes, and in this sense the accounting framework and the statistics presented within it were influential because they fit perfectly well with the policy discourse on rationality, efficiency and accountability: it aligns and frames the science system, by way of statistics, as goal-oriented and accountable. As it actually is, the accounting in official statistics on science is a metaphor, not an accounting exercise as such”

Use of indicators (Benoit Godin)

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A rhetoric device: a plethora of figures and graphs

“In the various studies on productivity and the New Economy the OECD constantly reminded the reader that the links between science, technology and productivity have not been demonstrated”.

“A large series of graphs and figures could persuade the reader of the seriousness of the study. Although no statistics could be used to prove the emergence of the New Economy, graphs and figures nevertheless served the purpose of empiricism”.

(Godin, 2004)

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The rhetoric of numbers Policy prescriptions based on shaking statistical evidence

(New Economy)The “umbrella” concept, slogans, buzzwords, which shape

new ways to arrange old indicators

Use of indicators (Benoit Godin)

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A rhetoric device: a plethora of figures and graphs

“Secure a quantitative statement of the critical elements in an official’s problem, draw it up in concise form, illuminate the tables with a chart or two, bind the memorandum in an attractive cover tied with a neat bow-knot (…). The data must be simple enough to be sent by telegraph and compiled overnight”

(Mitchell, 1919)

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GERD is used for target setting - from descriptive to prescriptive

“The American GERD/GDP ratio of the early 1960s, that is 3%, as mentioned in the first paragraphs of the first edition of the Frascati Manual, became the ideal to which member countries would aim, and which the OECD would implicitly promote” (Godin)

Lisbona UE 3% (2% business, 1% public sector)

The mystique of ranking

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Keith Pavitt

“One would think that the political agenda determines the collection and analysis of indicators. In reality it is the other way round: it is the availability of indicators which steers the political discourse.”

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Fred Gault

“Policy analysts should be both literate and numerate, able to put a case using innovation indicators. Not only should the analysits have such a skill set, but they also require some knowledge of the subject. It is in this environment that monitoring, benchmarking and evaluation lead to policy learning and to more effective policies.”

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Advising has become the preserve of applied economists (no more physicists and sociologists)

Advisors need to be – and to appear – experts who guarantee a competent and independent approach

The compromise between engagement and integrity of analysts

Frustration of advisors is part of the gameThe paradox: too many or too little indicators?The pressure of vested interests on official statisticians

The policy advisor

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Research Evaluation

Evaluation of what:researcheducation“third mission” of universities and research agencies (consultancy, support to local authorities, etc.)

Evaluation by whom:experts, peers

Evaluation of what:organisations (departments, universities, schools)programmes, projectsindividuals (professors, researchers, students)

Evaluation whenex-antein-itinereex-post

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Efficiency and effectiveness

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Research Evaluation

Indicators used

- bibliometrics- R&D- peer review- students- graduates- patents- spin-offs- contracts and other funding- other

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Evaluation in Italy

New public managementAccountabilityValue for money

National Institute for the Evaluation of the Education and Training System

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San Francisco Declaration on Research Assessment

The Journal Impact Factor, as calculated by Thomson Reuters, was originally created as a tool to help librarians identify journals to purchase, not as a measure of the scientific quality of research in an article.

With that in mind, it is critical to understand that the Journal Impact Factor has a number of well-documented deficiencies as a tool for research assessment. These limitations include:

A) citation distributions within journals are highly skewed; B) the properties of the Journal Impact Factor are field-specific: it

is a composite of multiple, highly diverse article types, including primary research papers and reviews;

C) Journal Impact Factors can be manipulated (or “gamed”) by editorial policy; and

D) data used to calculate the Journal Impact Factors are neither transparent nor openly available to the public.

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General RecommendationDo not use journal-based metrics, such as Journal Impact Factors, as a surrogate measure of the quality of individual research articles, to assess an individual scientist’s contributions, or in hiring, promotion, or funding decisions.

San Francisco Declaration on Research Assessment

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Over recent years, Journal Impact factor (JIF) has become the most prominent indicator of a journal's standing, bringing intense pressure on journal editors to do what they can to increase it. Which are the approaches employed by journal editors to maximise it? Some approaches would seem completely acceptable, others are in clear breach of the conventions on academic behavior, but a number fall somewhere in between. Over time, editors have devised ingenious ways of enhancing their JIF without apparently breaching any rules.

The editorial draws three conclusions. First, in the light of ever more devious ruses of editors, the JIF

indicator has now lost most of its credibility. Secondly, where the rules are unclear or absent, the only way of

determining whether particular editorial behavior is appropriate or not is to expose it to public scrutiny.

Thirdly, editors who engage in dubious behavior thereby risk forfeiting their authority to police misconduct among authors.

Editorial in Research Policy by Ben Martin

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The Leiden Manifesto for research metrics

Bibliometrics: The Leiden Manifesto for research metrics

“Data are increasingly used to govern science. Research evaluations that were once bespoke and performed by peers are now routine and reliant on metrics. The problem is that evaluation is now led by the data rather than by judgement. Metrics have proliferated: usually well intentioned, not always well informed, often ill applied. We risk damaging the system with the very tools designed to improve it, as evaluation is increasingly implemented by organizations without knowledge of, or advice on, good practice and interpretation.”

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Evaluation should enhance efficiency and effectivenessEvaluation is a difficult processPeer review vs bibliometricsNSE vs SSHUsed to define financing and hiring/promoting staffLeague tablesPro-active evaluation vs punitive evaluationCompetition vs cooperation of scientistsExcellenceOpportunistic behaviour and the split of the academic communityThreat t othe equilibrium amongst the activities of the universityResearch Assessment Excercise (REF) in the UK

Lessons from research evaluation

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After 60 years STI indicators are quite goodInternational cooperation is key (the role of the OECD and EU)Further develop theoretical models and methodologiesFrom macro to microKeep the dialogue between actors aliveMore expertise: too many economists (philosophers,

sociologists, other social scientists)Too many indicators?Resource constraintsSTI indicators are a public good, and the “owner” of statistics is

the StateThe role of commercial data producers (e.g. bibliometrics)What to do with the misuse of indicators?

Concluding remarks

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Thank you for your attention

[email protected]