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Participatory indicator design
1. Quantitative
methods meet
social concerns:
Participatory indicator
design in shale gas analysis
Cristina Madrid-López
Marie Curie Fellow
ICTA-UAB, Yale University
Water Science for Impact Conference
Wageningen 16-18 October 2018
4. IANEX
igs.indiana.edu
“The Shale Gas Factory” (Stephenson 2015)
• IANEX: Integrated Analysis of the Nexus. The
Case of Hydraulic Fracturing (2015-2018)
• Funded by: European Commission’s 7th FP’s
Marie Curie Program
• Objective: Support decision-making about
shale gas development in the EU
Problem
Identification
Validation
and
Ranking
Design
Quantitative
Assessment
Run
Quantitative
Assessment
Sensitivity
check
Output
Feedback
Participation
Quantification
Research
Cycle
5. IANEX
igs.indiana.edu
“The Shale Gas Factory” (Stephenson 2015)
• IANEX: Integrated Analysis of the Nexus. The
Case of Hydraulic Fracturing (2015-2018)
• Funded by: European Commission’s 7th FP’s
Marie Curie Program
• Objective: Support decision-making about
shale gas development in the EU
Problem
Identification
Validation
and
Ranking
Design
Quantitative
Assessment
Run
Quantitative
Assessment
Sensitivity
check
Output
Feedback
Participation
Quantification
Research
Cycle
10. Index
1. The IANEX project
2. Participatory indicator design
3. Result Sample
11. The local perspective – Water Use
Well Productivity (Mcf/day)
0
2000
4000
6000
8000
10000
0 1 2 3 4 5
Drilling &
fracking
Production Decay
Years
Water Extraction (cf) per well age, productivity
in reporting period (month) and county 2015
12. The local perspective –GHG Emissions
Well Productivity (Mcf/day)
0
2000
4000
6000
8000
10000
0 1 2 3 4 5
Drilling &
fracking
Production Decay
Years
Methane emissions per well age,
productivity and county 2015
0
1000
2000
3000
4000
5000
6000
7000
8000
0-1 1.1-2 2.1-3 3.1-4 4.1-5 >5
Well population
Drilling &
Production
Decay