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Ecoinformatics April 2008 Louise.Rickard@eea.europa.eu

Ecoinformatics April 2008 Louise.Rickard@eea.europa.eu. Exercise. Turn to the person sitting next to you Decide who will present and who will question Presenter: present the indicator to the person sitting next to you Questioner: ask questions to clarify anything that is unclear

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Ecoinformatics April 2008 Louise.Rickard@eea.europa.eu

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  1. Ecoinformatics April 2008 Louise.Rickard@eea.europa.eu

  2. Exercise • Turn to the person sitting next to you • Decide who will present and who will question • Presenter: present the indicator to the person sitting next to you • Questioner: ask questions to clarify anything that is unclear • Time: 45 seconds

  3. Total energy intensity in the EU-25 during 1990-2004, Nb. Energy intensity is a measure of total energy consumption in relation to economic activity

  4. Important not to have unrealistic expectations of what indicators can do…Think back to DAS presentation yesterday…

  5. River Thames 2007

  6. Oil spill from tanker Prestige off Spanish coast (ESA Envisat satellite)

  7. Global NO2 pollution map for 2006 (ESA Envisat)

  8. Outline • (Exercise) • Knowledge for action • Uncertainty

  9. Framework Signals and facts Take actions Create knowledge Explore responses Polity How: Building the scene

  10. Steps Action identification Scientific analysis Political understanding Measure effectiveness Stages Why and whom: developing processes, working with the actors

  11. When and where: The changing scene before/after, above/below... Tools Past implementation National condition Actual evaluation Regional future options Instruments

  12. Actual actions out Knowledge out Qualitative data in Signals in Signals in Knowledge out Future actions out Quantitative data in Managing the scene: Uncertainty and complexity

  13. Knowledge for action

  14. Evidence based policy: linking uncertainty and action Willingness to act is a political quantity – we cannot really influence it, but we can take advantage of it and play to it…

  15. Purpose of uncertainty assessment for indicators • Minimise risk of misleading policy makers 1) Uncertainty in datasets: e.g. Inexactness or non-comparability in underlying data from monitoring, collection etc. 2) Uncertainty in methodology: e.g. Systematic errors arising during manipulation of data, use of unreliable or subjective methods for dealing with missing data, lack of scientific /societal robustness or legitimacy in the choices made in the methods or indicators 3) Uncertainty in rationale: e.g. perceptions of the problem, causes and solutions. This includes issues to do with ignorance of other possible explanatory variables or lack of scientific /societal robustness or legitimacy in the choices made in framing of the problem or the assessments.

  16. Integral to e- indicator management system: CSI, TERM, EERM, Irena; CCm, ?CCA, AQ,we struggle with: water, soil, biodiversity, waste

  17. Indicators

  18. Knowledge for action

  19. Assessments for action… ….Means understanding the policy cycle

  20. Most information 16 2 9 Most information 9 1 0 EEA core set of indicators

  21. Assessments for knowledge… ….Means understanding the knowledge we have

  22. Understand the meaning, translation, interpolation and interpretation of the problem. Redefine the problem.  Separate material or concepts into component parts so that its organizational structure may be understood. Distinguish between facts and inference. X Apply concept - conceptualise problem or issue.. ? Build a structure or pattern from diverse elements. Put parts together to form a whole, with emphasis on creating a new meaning or structure. X Data description.  Make judgements about the value of ideas or materials. X Blooms typology of knowledge http://ia.ew.eea.europa.eu/do_it_yourself/knowledge_base/Steps

  23. Knowledge for action 1st aim: To further action 2nd aim: To further understanding of the system- is the policy working? See policy as test of hypothesis of the mechanism… Closing the loop:- create real life experiments! And engage back with science…

  24. Assessments Acuity The clarity or clearness To further action

  25. …What policy makers need to know vs. what it would be nice if they knew…. What ministers like is Alliteration! E.g. 4Fs What civil servants like… ….“To reduce the political risk of doing the right thing”

  26. Future actions • Uncertainty w/s for thematics: very practical approach

  27. Thank you!Any Questions?

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