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The Direction of Innovation: new challenges in the governance of technology Andy Stirling, SPRU science and technology policy research presentation to conference on ‘ Tilting perspectives on regulating technologies’   at  TILT – Tilburg Institute for Law, Technology, and Society, Tilburg University,  the Netherlands, 11 th  December 2008
1:  directionality  in science, technology and innovation 2:  ‘sound science’  and technology appraisal 3:  precaution  as ‘broadening out’ appraisal 4:  participation  as ‘opening up’ appraisal 5:  synergies : science, precaution and participation The Direction of Innovation: new challenges in the governance of technology
The Politics of Innovation all technology is good… ,[object Object],[object Object],[object Object],[object Object],all science is good…   “ [there is] an anti-technology culture in the UK …a pro- technology culture  must be created…”   -  UK Council for Science and Technology, 2000 “ science needs political support … politicians … are affected by the  anti-science or anti-technology feelings of influential intellectuals .”     - EU HIgh Level Group on Science & Technology
progress Innovation as Linear Progress SCIENCE TECHNOLOGY conventional ‘linear’ understandings of technology change still prevail in mainstream technology governance
time Polarised Politics of Innovation PAST FUTURE conventional ‘linear’ understandings of technology change still prevail in mainstream technology governance eg:   “history is a  race to advance technology ”   - UK Royal Academy of Engineering ‘ anti-technology protestors ’ are “… members of the  'flat earth society’ , opposed to modern economics, modern technology, modern science,  modern life itself .”    – UN DDG  Treats innovation as homogeneous:  no distinctions … no alternatives …  no politics …    no choice ! Precaution:  irrational obstruction of pre-determined direction of progress Participation:  ‘politically correct’ delay over self-evident inevitability
space of technological possibilities time Technology Change as Market Closure The conventional naïve view of technology change:   ‘sound science’, technical optimisation and market competition  yield optimal technological configurations
space of technological possibilities time Technology Change as Social Choice Infomed understandings of technology change: economics, history, management, political science, social studies:  reveal powerful mechanisms:  path-dependence, homeostasis,  momentum, autonomy, entrapment,  ‘lock-in’…
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Historical Examples Deliberately or not – we  make  our technological futures
Future example: energy pathways   No shortage of possible viable pathways to energy sustainability:`   tidal barrages?   offshore tidal enclosures?   tidal stream?   onshore windfarms?   energy efficiency?   small hydroelectricity?   …  not all possibilities can be fully realised  (especially in global markets)   offshore wind arrays?   integrated micro-wind?   high-altitude kites?   desert solar wind towers?   waste energy conversion?   onshore wave power?   subsea wave arrays?   geothermal energy?   biomass energy?   landfill gas?   solar thermal power?   centralised photovoltaics?   integrated photovoltaics?   nuclear power? carbon capture & storage ?
space of technological possibilities time The Dynamics of ‘Lock-in’   –   innovation is a vector, not a scalar but which directions will we pursue?   nuclear centralised renewables energy services carbon capture distributed renewables etc…
space of technological possibilities time The Dynamics of ‘Lock-in’   –  innovation is a vector, not a scalar but which directions will we pursue?  nuclear centralised renewables energy services carbon capture distributed renewables etc…
space of technological possibilities time The Dynamics of ‘Lock-in’ nuclear centralised renewables energy services carbon capture distributed renewables etc…   –  innovation is a vector, not a scalar but which directions will we pursue?
The Missing Politics of Choice “… We have no alternative to nuclear power …  …  if there were other sources of low carbon energy I would be in favour, but there aren't.”   Independent, July 2006 eg:    Sir David King former UK Chief Scientist Denies even the language of choice General pro / anti rhetorics over science and technology  are as if sceptics in other policy areas were called “anti policy”…
The Politics of Expectation 1:  assume future electricity infrastructures shift towards  distributed, low-voltage, smart-metered electricity systems,  subject to intelligent control and flexible supply contracts Directions for technology change are driven by  expectations invest in small scale renewables and energy service innovations 2:  assume persistence of traditional large centralised steam-cycle  power stations, presiding over high-voltage transmission systems,  with one-way distribution and conventional tariffs incremental innovation along traditional fossil and nuclear paths Determinist ‘sound science’ / ‘pro innovation’ language  is not innocent … but a key aid to moulding political choices
The ‘Sound Science’ Imperative  on chemicals: “ … sound science  will be the basis of the Commission's legislative proposal…”   - EC RTD Commissioner, Philippe Busquin ,[object Object],[object Object],former UK Prime Minister, Tony Blair ,[object Object],[object Object],UK Energy Minister Malcolm Wicks  ,[object Object],  Technology choice is justified by science…
0.001 0.1 10 1000 ,[object Object],low  RISK  high ,[object Object],coal oil gas nuclear hydro wind solar biomass ‘ Sound Science’ of Energy Technologies
[object Object],0.001 0.1 10 1000 coal oil gas nuclear hydro 36 wind solar biomass n = ,[object Object],low  RISK  high ‘ Science based evidence’ appears precise ‘ Sound Science’ of Energy Technologies minimum maximum 25%  75%
[object Object],0.001 0.1 10 1000 coal oil gas nuclear hydro 36 20 wind 18 solar 11 biomass 22 31 21 16 n = ,[object Object],low  RISK  high ‘ Science based evidence’ appears precise ‘ Sound Science’ of Energy Technologies
[object Object],coal oil gas nuclear hydro wind solar biomass ‘ Science based evidence’ appears precise ‘ Sound Science’ of Energy Technologies risk / life cycle / cost-benefit analysis can justify any rank order!
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Technological performance can be variously ‘framed’ in analysis ,[object Object],‘ Framing’ in ‘Sound Science’ Answers given by science depend on questions ,[object Object],[object Object],[object Object],[object Object]
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK engineering failure short-term price covariance Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes UNCERTAINTY unfamiliar toxins / hazards ‘ human factor’ RISK engineering failure short-term price covariance Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes AMBIGUITY interests / priorities / ‘framings’ divergent notions of harm  trust, fairness, ethics RISK UNCERTAINTY engineering failure short-term price covariance unfamiliar toxins / hazards ‘ human factor’ Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes IGNORANCE unknowns, surprise, novelty new vectors / forms of harm RISK UNCERTAINTY AMBIGUITY engineering failure short-term price covariance unfamiliar toxins / hazards ‘ human factor’ interests / priorities / ‘framings’ divergent notions of harm  trust, fairness, ethics Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK UNCERTAINTY AMBIGUITY IGNORANCE decision rules aggregative analysis deliberative process political closure reductive modeling stochastic reasoning rules of thumb insurance ` evidence-basing  agenda-setting   horizon scanning transdisciplinarity liability   law harm definitions   indicators / metrics   institutional remits  Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK UNCERTAINTY AMBIGUITY IGNORANCE uncertainty heuristics  interval analysis sensitivity testing scenarios / backcasting  interactive modeling mapping / Q-methods participatory deliberation monitor,   surveil, research institutional learning adaptive   management reductive aggregative  models offer more humility and rigour under uncertainty, ambiguity & ignorance Appraisal under Incertitude
unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK UNCERTAINTY AMBIGUITY IGNORANCE precaution means broader methods, options, uncertainties, perspectives … Appraisal under Incertitude NARROW RISK-BASED  ANALYSIS BROAD-BASED PRECAUTIONARY APPRAISAL
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Precaution as Process   (cf: EEA, 2001) ‘ broadening out’ the appraisal of technological options
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],A Role for Participation? But participation is not without similar challenges…
[object Object],[object Object],[object Object],[object Object],[object Object],Technological options also variously framed in deliberation ‘ Framing’ in Participation ,[object Object],[object Object],Just like expert and quantitative analysis, participation can … …  be susceptible to instrumental pressure to  justify  decisions ,[object Object],[object Object],[object Object]
narrow  ‘reductive-aggregative’ ‘risk-based’ methods Breadth, Plurality and Diversity SOCIAL APPRAISAL  GOVERNANCE COMMITMENTS conventional  ‘unitary prescriptive’  outputs to policy stable, ‘locked-in’ technological trajectories POSSIBLE PATHWAYS ,[object Object],[object Object],[object Object]
POSSIBLE PATHWAYS Breadth, Plurality and Diversity SOCIAL APPRAISAL  GOVERNANCE COMMITMENTS broad-based  processes of ‘ precautionary appraisal’ ‘ opening up’ with  ‘plural conditional’ outputs to policymaking diverse,  dynamic technological networks ,[object Object],[object Object]
Synergies : science, precaution and participation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 

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Andy Stirling on The Direction Of Innovation

  • 1. The Direction of Innovation: new challenges in the governance of technology Andy Stirling, SPRU science and technology policy research presentation to conference on ‘ Tilting perspectives on regulating technologies’ at TILT – Tilburg Institute for Law, Technology, and Society, Tilburg University, the Netherlands, 11 th December 2008
  • 2. 1: directionality in science, technology and innovation 2: ‘sound science’ and technology appraisal 3: precaution as ‘broadening out’ appraisal 4: participation as ‘opening up’ appraisal 5: synergies : science, precaution and participation The Direction of Innovation: new challenges in the governance of technology
  • 3.
  • 4. progress Innovation as Linear Progress SCIENCE TECHNOLOGY conventional ‘linear’ understandings of technology change still prevail in mainstream technology governance
  • 5. time Polarised Politics of Innovation PAST FUTURE conventional ‘linear’ understandings of technology change still prevail in mainstream technology governance eg: “history is a race to advance technology ” - UK Royal Academy of Engineering ‘ anti-technology protestors ’ are “… members of the 'flat earth society’ , opposed to modern economics, modern technology, modern science, modern life itself .” – UN DDG Treats innovation as homogeneous: no distinctions … no alternatives … no politics … no choice ! Precaution: irrational obstruction of pre-determined direction of progress Participation: ‘politically correct’ delay over self-evident inevitability
  • 6. space of technological possibilities time Technology Change as Market Closure The conventional naïve view of technology change: ‘sound science’, technical optimisation and market competition yield optimal technological configurations
  • 7. space of technological possibilities time Technology Change as Social Choice Infomed understandings of technology change: economics, history, management, political science, social studies: reveal powerful mechanisms: path-dependence, homeostasis, momentum, autonomy, entrapment, ‘lock-in’…
  • 8.
  • 9. Future example: energy pathways No shortage of possible viable pathways to energy sustainability:` tidal barrages? offshore tidal enclosures? tidal stream? onshore windfarms? energy efficiency? small hydroelectricity? … not all possibilities can be fully realised (especially in global markets) offshore wind arrays? integrated micro-wind? high-altitude kites? desert solar wind towers? waste energy conversion? onshore wave power? subsea wave arrays? geothermal energy? biomass energy? landfill gas? solar thermal power? centralised photovoltaics? integrated photovoltaics? nuclear power? carbon capture & storage ?
  • 10. space of technological possibilities time The Dynamics of ‘Lock-in’ – innovation is a vector, not a scalar but which directions will we pursue? nuclear centralised renewables energy services carbon capture distributed renewables etc…
  • 11. space of technological possibilities time The Dynamics of ‘Lock-in’ – innovation is a vector, not a scalar but which directions will we pursue? nuclear centralised renewables energy services carbon capture distributed renewables etc…
  • 12. space of technological possibilities time The Dynamics of ‘Lock-in’ nuclear centralised renewables energy services carbon capture distributed renewables etc… – innovation is a vector, not a scalar but which directions will we pursue?
  • 13. The Missing Politics of Choice “… We have no alternative to nuclear power … … if there were other sources of low carbon energy I would be in favour, but there aren't.” Independent, July 2006 eg: Sir David King former UK Chief Scientist Denies even the language of choice General pro / anti rhetorics over science and technology are as if sceptics in other policy areas were called “anti policy”…
  • 14. The Politics of Expectation 1: assume future electricity infrastructures shift towards distributed, low-voltage, smart-metered electricity systems, subject to intelligent control and flexible supply contracts Directions for technology change are driven by expectations invest in small scale renewables and energy service innovations 2: assume persistence of traditional large centralised steam-cycle power stations, presiding over high-voltage transmission systems, with one-way distribution and conventional tariffs incremental innovation along traditional fossil and nuclear paths Determinist ‘sound science’ / ‘pro innovation’ language is not innocent … but a key aid to moulding political choices
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes Appraisal under Incertitude
  • 22. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK engineering failure short-term price covariance Appraisal under Incertitude
  • 23. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes UNCERTAINTY unfamiliar toxins / hazards ‘ human factor’ RISK engineering failure short-term price covariance Appraisal under Incertitude
  • 24. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes AMBIGUITY interests / priorities / ‘framings’ divergent notions of harm trust, fairness, ethics RISK UNCERTAINTY engineering failure short-term price covariance unfamiliar toxins / hazards ‘ human factor’ Appraisal under Incertitude
  • 25. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes IGNORANCE unknowns, surprise, novelty new vectors / forms of harm RISK UNCERTAINTY AMBIGUITY engineering failure short-term price covariance unfamiliar toxins / hazards ‘ human factor’ interests / priorities / ‘framings’ divergent notions of harm trust, fairness, ethics Appraisal under Incertitude
  • 26. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK UNCERTAINTY AMBIGUITY IGNORANCE decision rules aggregative analysis deliberative process political closure reductive modeling stochastic reasoning rules of thumb insurance ` evidence-basing agenda-setting horizon scanning transdisciplinarity liability law harm definitions indicators / metrics institutional remits Appraisal under Incertitude
  • 27. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK UNCERTAINTY AMBIGUITY IGNORANCE uncertainty heuristics interval analysis sensitivity testing scenarios / backcasting interactive modeling mapping / Q-methods participatory deliberation monitor, surveil, research institutional learning adaptive management reductive aggregative models offer more humility and rigour under uncertainty, ambiguity & ignorance Appraisal under Incertitude
  • 28. unproblematic problematic unproblematic problematic knowledge about likelihoods knowledge about outcomes RISK UNCERTAINTY AMBIGUITY IGNORANCE precaution means broader methods, options, uncertainties, perspectives … Appraisal under Incertitude NARROW RISK-BASED ANALYSIS BROAD-BASED PRECAUTIONARY APPRAISAL
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.  

Editor's Notes

  1.