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1 Ecoinformatics Ecoinformatics April 2008 April 2008 [email protected] [email protected]

1 Ecoinformatics April 2008 [email protected]

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EcoinformaticsEcoinformaticsApril 2008April 2008

[email protected]@eea.europa.eu

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ExerciseExercise

• 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

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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

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Important not to have Important not to have unrealistic expectations of what unrealistic expectations of what indicators can do…indicators can do…

Think back to DAS presentation yesterday…Think back to DAS presentation yesterday…

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River Thames 2007

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

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Global NO2 pollution map for 2006 (ESA Envisat)

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Outline Outline

1. (Exercise)2. Knowledge for action3. Uncertainty

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How: Building the scene

Polity

Take actions

Explore responses

Create knowledge

Framework

Signals and facts

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Why and whom: developing processes, working with the actors

Steps

Stages

Political understanding

Scientific analysis

Action identification

Measure effectiveness

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Tools

When and where: The changing scene before/after, above/below...

Past implementation

National condition

Regional future options

Actual evaluation

Instruments

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Managing the scene: Uncertainty and complexity

Signals in

Actual actions out

Quantitative data in

Knowledge out

Future actions out

Knowledge out

Qualitative data in

Signals in

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Knowledge for action

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Evidence based policy: Evidence based policy: linking uncertainty and actionlinking 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…

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Purpose of uncertainty Purpose of uncertainty assessment for indicatorsassessment 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.

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

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Indicators

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Knowledge for action

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Assessments for action…Assessments for action…

….Means understanding the policy cycle

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0

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Most information

Most information

EEA core set of indicators

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Assessments for knowledge…Assessments for knowledge…

….Means understanding the knowledge we have

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Build a structure or pattern from diverse elements. Put parts together to form a whole, with emphasis on creating a new meaning or structure.

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Make judgements about the value of ideas or materials.

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Data description.

Separate material or concepts into component parts so that its organizational structure may be understood. Distinguish between facts and inference.

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Apply concept - conceptualise problem or issue..

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Understand the meaning, translation, interpolation and interpretation of the problem. Redefine the problem.

Blooms typology of knowledge http://ia.ew.eea.europa.eu/do_it_yourself/knowledge_base/Steps

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Knowledge for actionKnowledge for action

1st aim: To further action2nd 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…

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AssessmentsAssessments

Acuity

The clarity or clearness

To further action

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……What policy makers need to know What policy makers need to know vs. what it would be nice if they vs. what it would be nice if they knew….knew….

What ministers like is Alliteration! E.g. 4Fs

What civil servants like…….“To reduce the political risk of doing the right

thing”

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Future actionsFuture actions

• Uncertainty w/s for thematics: very practical approach

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Thank you!Thank you!

Any Questions?Any Questions?