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Towards more inclusive STI indicators
Ismael Ràfols1,2 and Jordi Molas-Gallart1,
Richard Woolley1 and Diego Chavarro2
1Ingenio (CSIC-UPV), Universitat Politècnica de València
2 SPRU (Science Policy Research Unit), University of Sussex, Brighton
Gent, OECD Blue Sky 2016
Re-shaping design and use for inclusion
• Indicators may be harming – via exclusion
 Current indicators are only (partially) appropriate for some types of
science and innovation.
 Biases against and potential suppression of creative and valuable
types of research (agro-, health,…). Threat to diversity.
 May count as positive harmful forms of innovation (Soete)
• Not only more, but other types of indicators needed
 Making visible “other” contributions and other types of research and
innovation (e.g. action research, co-creation)
 Enhancing visualisation for “opening up” perspectives rather than
facilitating “closing down”
• Understanding uses of indicators
 Better embedding in policy, evaluation, context
 Indicators used to pluralise debate, as tools for interpretation
and deliberation, not a substitute for judgement (Barré)
Uses of indicators: Pressing demands of research policy,
management and evaluation --- Can indicators help?
Yes, indicators can help make decisions…
 Reduce time and costs
 Increase transparency and sense of objectivity
 Reduce complexity, accessible to managers
but do they lead to the “right” decisions?
Evaluation gap (Wouters):
“discrepancy between [the] criteria [implicit in indicators] and the social and
economic functions of science”
*Academia – “excellence” *Innovation – economic “growth”
Missions not well covered: agriculture, public health, defence,
development, social inclusion,…
Often related to marginalised / “neglected” populations
Space of problems
Space of research
Research
well illuminated
by indicators
Problems, research, indicators and marginalisation
Problems, research, indicators and marginalisation
Multiple types of space:
STI Peripheries:
research spaces not
well captured
by indicators
Research
well illuminated
by indicators
Cognitive: SSH,
engineering
Linguistic:
non-English
Sectoral: low-tech,
agriculture, creative ind.
Social: gender,
minorities
Geographical: regional, “South”
Coverage: Knowledge production on rice by country
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
India China Japan USA
Publications
2000-2009
CABI
Scopus
WoS
Rafols, Ciarli and Chavarro (in preparation)
Coverage: Knowledge production on rice by topic
Rafols, Ciarli and Chavarro (in preparation)
2002-2012
Streetlight effect in indicators: mistaking light with “problems”
Space of problems
Space of research
Research
well illuminated
by indicators
Streetlight effect in indicators: mistaking light with “problems”
Space of problems
Space of research
Space of problems
Space of research
Space of problems
Hypothesis: reduced indicator coverage may contract research space
Space of research
Space of STI
indicators
The societal needs dealt by research that is under the streetlight effect, will be
better rewarded.
Reduced diversity of
research efforts...
…reduced coverage
of societal needs
Space of problems
Demands for expanding role of science in society…
Space of research
Space of STI
indicators
Space of problems
Demands for expanding role of science in society…
Space of research
Space of STI
indicators
Space of problems
…may require expanded sets of data and indicators
Space of research
Space of STI
indicators
Space of problems
…may require expanded sets of data and indicators
Space of research
Space of STI
indicators
• Comprehensive
databases
• Better normalisation
by context (e.g. citation bias)
• Indicators of process
or interactions
• New data sources
narrow
broad
closing-down opening-up
range of
appraisal's
inputs
(issues, perspectives,
scenarios, methods)
effect of appraisal ‘outputs’ on decision-making
Leach et al. 2010
Appraisal: Broadening out vs. Opening up
narrow
broad
closing-down opening-up
range of
appraisal’s
inputs
(issues, perspectives,
scenarios, methods)
effect of appraisal ‘outputs’ on decision-making
Most conventional
S&T indicators??
Appraisal: Broadening out vs. Opening up
narrow
broad
closing-down opening-up
range of
appraisal’s
inputs
(issues, perspectives,
scenarios, methods)
effect of appraisal ‘outputs’ on decision-making
Conventional
S&T indicators??
Broadening out
Incorporation multiple
analytical dimensions:
New analytical inputs:
media, blogsphere.
Appraisal: Broadening out vs. Opening up
narrow
broad
closing-down opening-up
range of
appraisals
inputs
(issues, perspectives,
scenarios, methods)
effect of appraisal ‘outputs’ on decision-making
Journal rankings
University rankings
Unitary measures
that may be translated into
prescriptionComposite
European Innovation
Scoreboard
Appraisal: Broadening out vs. Opening up
narrow
broad
closing-down opening-up
range of
appraisals
inputs
(issues, perspectives,
scenarios, methods)
effect of appraisal ‘outputs’ on decision-making
Appraisal: Broadening out vs. Opening up
Conventional
S&T Indicators??
opening-up
Making explicit underlying
conceptualisations and context
creating tools to facilitate exploration
NOT about the uniquely best method
Or about the unitary best explanation
Or the single best prediction
From S&T indicators for justification and disciplining…
… towards S&T indicators as tools for deliberation
Model 2: Plural and conditional
Exploring diverse choices
Facilitating options/choices in landscapes
Model 1: Unique and prescriptive
Proposing “best choices”
Rankings -- ranking list of preferences
An agenda for more inclusive metrics
• Inclusiveness in the inputs
 Broadening out: Create more diverse indicators
– Indicators of open science, RRI, hidden, social innovation
– Improve representation of SSH scholarship, languages other than
English, the “South”,…
• Inclusiveness in the outputs
 Opening up: develop toolkits that allow exploration of choices.
New ways of presenting indicators
– Multi-ranking tools
– Interactive visualisations
• Inclusiveness in the policy process (??)
 Develop new social processes on use of indicators
– STI indicators as tools for interpretation and deliberation (R. Barré)
Backup slides
24
Rice Varieties
Classic Genetics
Transgenics
Mol. Biology
Genomics
Pests
Plant protection
Weeds
Plant protection
Plant nutrition
Production &
socioeconomic issues
Consumption
H. nutrition,
food techs
What are the “options” in rice research?
Not a fined-grain perspective
25
US, 2000-12
How research priorities differ by country
26
India 2000-12
How research priorities differ by country
27
Thailand 2000-12
How research priorities differ by country
S&T Indicators Conference – First week
21st Science and Technology Indicators Conference
València, 14-16 September 2016, www.sti2016.org
The problem:
• Some STI activities and their outcome are badly captured by indicators
• Disincentive to carry out certain types of activity at certain spaces
• Empirically: problem more acute at peripheral spaces in science
• Potential effects: Reduction of diversity –particularly locally relevant?
Bias in citation within a subdiscipline
Good
Average
Bad
Van Eck, Waltman et al. (2013)
More basic
More applied
Clinical neurology
Is basic always
better than applied?
Citations: not stable to changes in classification and granularity (Zitt et al., 2005;
Adams et al., 2008).
Measures of “scientific excellence”
0
0.5
1
1.5
2
2.5
3
3.5
4
ISSTI SPRU MIoIR Imperial WBS LBS
ABSRank
0
1
2
3
4
5
ISSTI SPRU MIoIR Imperial WBS LBS
Citations/pub
Journal-fieldNormalised
0
0.05
0.1
0.15
0.2
ISSTI SPRU MIoIR Imperial WBS LBS
Citations/pub
Citing-paperNormalised
Which one is more meaningful??
0
1
2
3
4
ISSTI SPRU MIoIR Imperial WBS LBS
JournalImpactFactor
Rafols et al. (2012, Research Policy)

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Rafols - Towards more inclusive STI indicators

  • 1. Towards more inclusive STI indicators Ismael Ràfols1,2 and Jordi Molas-Gallart1, Richard Woolley1 and Diego Chavarro2 1Ingenio (CSIC-UPV), Universitat Politècnica de València 2 SPRU (Science Policy Research Unit), University of Sussex, Brighton Gent, OECD Blue Sky 2016
  • 2. Re-shaping design and use for inclusion • Indicators may be harming – via exclusion  Current indicators are only (partially) appropriate for some types of science and innovation.  Biases against and potential suppression of creative and valuable types of research (agro-, health,…). Threat to diversity.  May count as positive harmful forms of innovation (Soete) • Not only more, but other types of indicators needed  Making visible “other” contributions and other types of research and innovation (e.g. action research, co-creation)  Enhancing visualisation for “opening up” perspectives rather than facilitating “closing down” • Understanding uses of indicators  Better embedding in policy, evaluation, context  Indicators used to pluralise debate, as tools for interpretation and deliberation, not a substitute for judgement (Barré)
  • 3. Uses of indicators: Pressing demands of research policy, management and evaluation --- Can indicators help? Yes, indicators can help make decisions…  Reduce time and costs  Increase transparency and sense of objectivity  Reduce complexity, accessible to managers but do they lead to the “right” decisions? Evaluation gap (Wouters): “discrepancy between [the] criteria [implicit in indicators] and the social and economic functions of science” *Academia – “excellence” *Innovation – economic “growth” Missions not well covered: agriculture, public health, defence, development, social inclusion,… Often related to marginalised / “neglected” populations
  • 4. Space of problems Space of research Research well illuminated by indicators Problems, research, indicators and marginalisation
  • 5. Problems, research, indicators and marginalisation Multiple types of space: STI Peripheries: research spaces not well captured by indicators Research well illuminated by indicators Cognitive: SSH, engineering Linguistic: non-English Sectoral: low-tech, agriculture, creative ind. Social: gender, minorities Geographical: regional, “South”
  • 6. Coverage: Knowledge production on rice by country 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% India China Japan USA Publications 2000-2009 CABI Scopus WoS Rafols, Ciarli and Chavarro (in preparation)
  • 7. Coverage: Knowledge production on rice by topic Rafols, Ciarli and Chavarro (in preparation) 2002-2012
  • 8. Streetlight effect in indicators: mistaking light with “problems” Space of problems Space of research Research well illuminated by indicators
  • 9. Streetlight effect in indicators: mistaking light with “problems” Space of problems Space of research Space of problems Space of research
  • 10. Space of problems Hypothesis: reduced indicator coverage may contract research space Space of research Space of STI indicators The societal needs dealt by research that is under the streetlight effect, will be better rewarded. Reduced diversity of research efforts... …reduced coverage of societal needs
  • 11. Space of problems Demands for expanding role of science in society… Space of research Space of STI indicators
  • 12. Space of problems Demands for expanding role of science in society… Space of research Space of STI indicators
  • 13. Space of problems …may require expanded sets of data and indicators Space of research Space of STI indicators
  • 14. Space of problems …may require expanded sets of data and indicators Space of research Space of STI indicators • Comprehensive databases • Better normalisation by context (e.g. citation bias) • Indicators of process or interactions • New data sources
  • 15. narrow broad closing-down opening-up range of appraisal's inputs (issues, perspectives, scenarios, methods) effect of appraisal ‘outputs’ on decision-making Leach et al. 2010 Appraisal: Broadening out vs. Opening up
  • 16. narrow broad closing-down opening-up range of appraisal’s inputs (issues, perspectives, scenarios, methods) effect of appraisal ‘outputs’ on decision-making Most conventional S&T indicators?? Appraisal: Broadening out vs. Opening up
  • 17. narrow broad closing-down opening-up range of appraisal’s inputs (issues, perspectives, scenarios, methods) effect of appraisal ‘outputs’ on decision-making Conventional S&T indicators?? Broadening out Incorporation multiple analytical dimensions: New analytical inputs: media, blogsphere. Appraisal: Broadening out vs. Opening up
  • 18. narrow broad closing-down opening-up range of appraisals inputs (issues, perspectives, scenarios, methods) effect of appraisal ‘outputs’ on decision-making Journal rankings University rankings Unitary measures that may be translated into prescriptionComposite European Innovation Scoreboard Appraisal: Broadening out vs. Opening up
  • 19. narrow broad closing-down opening-up range of appraisals inputs (issues, perspectives, scenarios, methods) effect of appraisal ‘outputs’ on decision-making Appraisal: Broadening out vs. Opening up Conventional S&T Indicators?? opening-up Making explicit underlying conceptualisations and context creating tools to facilitate exploration NOT about the uniquely best method Or about the unitary best explanation Or the single best prediction
  • 20. From S&T indicators for justification and disciplining… … towards S&T indicators as tools for deliberation Model 2: Plural and conditional Exploring diverse choices Facilitating options/choices in landscapes Model 1: Unique and prescriptive Proposing “best choices” Rankings -- ranking list of preferences
  • 21. An agenda for more inclusive metrics • Inclusiveness in the inputs  Broadening out: Create more diverse indicators – Indicators of open science, RRI, hidden, social innovation – Improve representation of SSH scholarship, languages other than English, the “South”,… • Inclusiveness in the outputs  Opening up: develop toolkits that allow exploration of choices. New ways of presenting indicators – Multi-ranking tools – Interactive visualisations • Inclusiveness in the policy process (??)  Develop new social processes on use of indicators – STI indicators as tools for interpretation and deliberation (R. Barré)
  • 22.
  • 24. 24 Rice Varieties Classic Genetics Transgenics Mol. Biology Genomics Pests Plant protection Weeds Plant protection Plant nutrition Production & socioeconomic issues Consumption H. nutrition, food techs What are the “options” in rice research? Not a fined-grain perspective
  • 25. 25 US, 2000-12 How research priorities differ by country
  • 26. 26 India 2000-12 How research priorities differ by country
  • 27. 27 Thailand 2000-12 How research priorities differ by country
  • 28. S&T Indicators Conference – First week 21st Science and Technology Indicators Conference València, 14-16 September 2016, www.sti2016.org The problem: • Some STI activities and their outcome are badly captured by indicators • Disincentive to carry out certain types of activity at certain spaces • Empirically: problem more acute at peripheral spaces in science • Potential effects: Reduction of diversity –particularly locally relevant?
  • 29. Bias in citation within a subdiscipline Good Average Bad Van Eck, Waltman et al. (2013) More basic More applied Clinical neurology Is basic always better than applied? Citations: not stable to changes in classification and granularity (Zitt et al., 2005; Adams et al., 2008).
  • 30. Measures of “scientific excellence” 0 0.5 1 1.5 2 2.5 3 3.5 4 ISSTI SPRU MIoIR Imperial WBS LBS ABSRank 0 1 2 3 4 5 ISSTI SPRU MIoIR Imperial WBS LBS Citations/pub Journal-fieldNormalised 0 0.05 0.1 0.15 0.2 ISSTI SPRU MIoIR Imperial WBS LBS Citations/pub Citing-paperNormalised Which one is more meaningful?? 0 1 2 3 4 ISSTI SPRU MIoIR Imperial WBS LBS JournalImpactFactor Rafols et al. (2012, Research Policy)