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STEPS Pathways Methods
PART 8
Multicriteria Mapping (MCM) - an illustrative example
Professor Andy Stirling
Co-director, S...
An Example: Multicriteria Mapping (MCM)
choose
options
MCM: what goes in
choose
options
MCM: what goes in
MCM: choosing options
choose
options
MCM: what goes in
define
criteria
MCM: defining criteria
choose
options
define
criteria
assess
scores
MCM: what goes in
choose
options
define
criteria
assess
scores
option 1
option 2
option 3
option 4
performance
CRITERION A
MCM: what goes in
choose
options
define
criteria
assess
scores
explore
uncertainty
MCM: what goes in
option 1
option 2
option 3
option 4
CRI...
choose
options
define
criteria
assess
scores
explore
uncertainty
A
B
C
MCM: what goes in
MCM: assessing scores
choose
options
define
criteria
assess
scores
assign
weights
explore
uncertainty
performance
option 1
option 2
option 3
opt...
choose
options
define
criteria
assess
scores
assign
weights
explore
uncertainty
performance
option 1
option 2
option 3
opt...
choose
options
define
criteria
assess
scores
assign
weights
explore
uncertainty
performance
option 1
option 2
option 3
opt...
MCM: assigning weights
http://mcm.dabdev.net/projects/ec4cc0623c5f4bf09acd1febec66e5f6/engage/engagements/eadd5a2094cf419d...
choose
options
define
criteria
assess
scores
assign
weights
explore
uncertainty
performance
option 1
option 2
option 3
opt...
O
C
S
U
W
R

From MCM sessions to opening up deliberation

From MCM sessions to opening up deliberation



From MCM sessions to opening up deliberation





group-based
elicitation or
deliberation
From MCM sessions to opening up deliberation














wider
stakeholder
deliberation
From MCM sessions to opening up deliberation
general diversity heuristic
ij (dij)
α
.(pi.pj)
β
Mapping Diversities SEG
Dancing with the quantification devil… what isn...
Rafols, Porter and Leydesdorff (2010)
Diversity in Scientometrics
Scientometrics of disciplinarity & directionality in res...
narrow
broad
closing down opening up
expert /
analytic
participatory /
deliberative
citizen’s juries
decision
analysis
par...
industry
NGOs
qualitative picture of framings, focusing
structured as ‘optimistic’ or ‘pessimistic’ expectations
(as well ...
rich body of background data
concerning ‘framings’ of options by perspectives
MCM: what comes out
uncertainties by option
rich body of background data
concerning ‘framings’ of options by perspectives
MCM: what comes out
...
uncertainties by option
rich body of background data
concerning ‘framings’ of options by perspectives
MCM: what comes out
...
uncertainties by option
rich body of background data
concerning ‘framings’ of options by perspectives
MCM: what comes out
...
uncertainties by option
rich body of background data
concerning ‘framings’ of options by perspectives
MCM: what comes out
...
uncertainties by option
rich body of background data
concerning ‘framings’ of options by perspectives
MCM: what comes out
...
improved services
altruistic donation
presumed consent
xenotransplantation
embryonic stem cells
healthier living
low perfo...
women’s panel (BC1)
improved services
altruistic donation
presumed consent
xenotransplantation
embryonic stem cells
health...
women’s panel (BC1)
improved services
altruistic donation
presumed consent
xenotransplantation
embryonic stem cells
health...
women’s panel (BC1)
improved services
altruistic donation
presumed consent
xenotransplantation
embryonic stem cells
health...
Risks and benefits of different agricultural strategies
under assumptions of selection of UK expert policy advisers (1999)...
Risks and benefits of different agricultural strategies
under assumptions of selection of UK expert policy advisers (1999)...
Risks and benefits of different agricultural strategies
under assumptions of selection of UK expert policy advisers (1999)...
Risks and benefits of different agricultural strategies
under assumptions of selection of UK expert policy advisers (1999)...
Steps methods #8 mcm
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Transcript of "Steps methods #8 mcm"

  1. 1. STEPS Pathways Methods PART 8 Multicriteria Mapping (MCM) - an illustrative example Professor Andy Stirling Co-director, STEPS Centre www.steps-centre.org www.sussex.ac.uk/spru www.multicriteria-mapping.org
  2. 2. An Example: Multicriteria Mapping (MCM)
  3. 3. choose options MCM: what goes in
  4. 4. choose options MCM: what goes in
  5. 5. MCM: choosing options
  6. 6. choose options MCM: what goes in define criteria
  7. 7. MCM: defining criteria
  8. 8. choose options define criteria assess scores MCM: what goes in
  9. 9. choose options define criteria assess scores option 1 option 2 option 3 option 4 performance CRITERION A MCM: what goes in
  10. 10. choose options define criteria assess scores explore uncertainty MCM: what goes in option 1 option 2 option 3 option 4 CRITERION A performance
  11. 11. choose options define criteria assess scores explore uncertainty A B C MCM: what goes in
  12. 12. MCM: assessing scores
  13. 13. choose options define criteria assess scores assign weights explore uncertainty performance option 1 option 2 option 3 option 4 OVERALL RANKINGS MCM: what goes in
  14. 14. choose options define criteria assess scores assign weights explore uncertainty performance option 1 option 2 option 3 option 4 OVERALL RANKINGS MCM: what goes in
  15. 15. choose options define criteria assess scores assign weights explore uncertainty performance option 1 option 2 option 3 option 4 consider ranksOVERALL RANKINGS MCM: what goes in
  16. 16. MCM: assigning weights http://mcm.dabdev.net/projects/ec4cc0623c5f4bf09acd1febec66e5f6/engage/engagements/eadd5a2094cf419d86cd4dd99223f03e/#weights
  17. 17. choose options define criteria assess scores assign weights explore uncertainty performance option 1 option 2 option 3 option 4 consider ranksOVERALL RANKINGS MCM: what goes in
  18. 18. O C S U W R  From MCM sessions to opening up deliberation
  19. 19.  From MCM sessions to opening up deliberation
  20. 20.    From MCM sessions to opening up deliberation
  21. 21.      group-based elicitation or deliberation From MCM sessions to opening up deliberation
  22. 22.               wider stakeholder deliberation From MCM sessions to opening up deliberation
  23. 23. general diversity heuristic ij (dij) α .(pi.pj) β Mapping Diversities SEG Dancing with the quantification devil… what isn’t counted, doesn’t count! Yoshizawa, Suzuki, et al
  24. 24. Rafols, Porter and Leydesdorff (2010) Diversity in Scientometrics Scientometrics of disciplinarity & directionality in research & innovation
  25. 25. narrow broad closing down opening up expert / analytic participatory / deliberative citizen’s juries decision analysis participatory rural appraisal stakeholder negotiation q-method sensitivity analysis deliberative mapping do-it-yourself panels open space cost-benefit analysis risk assessment interactive modelling structured interviews interpretive participant observation multi-site ethnographic- methods citizen’s juries consensus conference open hearings dissenting opinions multi-criteria mapping scenario workshops Building Repertoires (from Dynamic Sustainabilities) For “opening up new political spaces” contending histories spot-the- narrative
  26. 26. industry NGOs qualitative picture of framings, focusing structured as ‘optimistic’ or ‘pessimistic’ expectations (as well as: option/criteria definitions; transcript ‘nuggets’) MCM: what comes out optimistic assumptions about technical operation pessimistic view of how option is likely to perform in practice All annotations and discussion transcripts entered and processed in database Also detailed text ‘reports’ for selected parameters
  27. 27. rich body of background data concerning ‘framings’ of options by perspectives MCM: what comes out
  28. 28. uncertainties by option rich body of background data concerning ‘framings’ of options by perspectives MCM: what comes out A B C D
  29. 29. uncertainties by option rich body of background data concerning ‘framings’ of options by perspectives MCM: what comes out A B C D uncertainties by perspective academics industry government NGOs
  30. 30. uncertainties by option rich body of background data concerning ‘framings’ of options by perspectives MCM: what comes out A B C D uncertainties by perspective academics industry government NGOs scores for particular issues A B C D
  31. 31. uncertainties by option rich body of background data concerning ‘framings’ of options by perspectives MCM: what comes out A B C D uncertainties by perspective academics industry government NGOs weights by issue for perspectivesscores for particular issues A B C D economics health environment equity academics industry government NGOs
  32. 32. uncertainties by option rich body of background data concerning ‘framings’ of options by perspectives MCM: what comes out A B C D uncertainties by perspective academics industry government NGOs weights by issue for perspectivesscores for particular issues A B C D economics health environment equity academics industry government NGOs
  33. 33. improved services altruistic donation presumed consent xenotransplantation embryonic stem cells healthier living low performance high MCM Results: an example from health policy
  34. 34. women’s panel (BC1) improved services altruistic donation presumed consent xenotransplantation embryonic stem cells healthier living low performance high MCM Results: an example from health policy
  35. 35. women’s panel (BC1) improved services altruistic donation presumed consent xenotransplantation embryonic stem cells healthier living men’s panel (BC1) low performance high MCM Results: an example from health policy
  36. 36. women’s panel (BC1) improved services altruistic donation presumed consent xenotransplantation embryonic stem cells healthier living improved services altruistic donation presumed consent xenotransplantation embryonic stem cells healthier living women’s panel (C2D) men’s panel (C2D) men’s panel (BC1) low performance high MCM Results: an example from health policy
  37. 37. Risks and benefits of different agricultural strategies under assumptions of selection of UK expert policy advisers (1999) organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls low performance high MCM Results: an example from GM food
  38. 38. Risks and benefits of different agricultural strategies under assumptions of selection of UK expert policy advisers (1999) organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls GOVERNMENT organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls low performance high MCM Results: an example from GM food
  39. 39. Risks and benefits of different agricultural strategies under assumptions of selection of UK expert policy advisers (1999) organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls GOVERNMENT INDUSTRY organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls low performance high MCM Results: an example from GM food
  40. 40. Risks and benefits of different agricultural strategies under assumptions of selection of UK expert policy advisers (1999) organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls GOVERNMENT INDUSTRY organic environmental intensive GM + labelling GM + monitoring GM + voluntary controls PUBLIC INTEREST low performance high MCM Results: an example from GM food
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