Presentation by Dr. Georgios Giannopoulos, European Commission, Joint Research Centre, at the 6th Workshop on Strategic Crisis Management in Geneva on 12-13 June 2017. The event was organised by the OECD and the Swiss Federal Chancellery, bringing together government crisis managers and practitioners from international organisations, industry and leading think-tanks to share strategic insights and cutting-edge policy responses. For further information please see http://www.oecd.org/governance/6th-workshop-strategic-crisis-management.htm
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Dr. Georgios Giannopoulos - JRC - 6th OECD Workshop on strategic crisis management
1. The European Commission’s
science and knowledge service
Joint Research Centre
Modelling complexity and
interdependencies for
improving CI resilience
Georgios Giannopoulos
Directorate E: Space, Security and Migration
Unit E2: Technology Innovation in Security
2. 2
DG JRC Role: facts & figures
• 6 locations in 5 Member States
• 1 500 core research staff, out of
around 3 000 total staff
• Research fellows and visiting
scientists
• 42 lаrge scale research facilities,
more than 110 online databases
• More than 100 economic, bio-
physical and nuclear models
3. 3
Infrastructures are vital for economic growth!
...but have always been threatened by
natural or man-made hazards
5. 5
Modelling complexity & interdependencies: A
prerequisite to resilience
Modeling, simulation and
analysis tools
Dependencies across countries
Cascading effects across sectors
Complexity
Computational
Cost
7. 7
Interdependency mapping at country/systems
level
• “How much” does my infrastructure (MyI) depends on
others and vice versa, both as a sector and in time?
20%
MyI
on/off
60%
8. 8
The failure and recovery dynamics at systems
level
• Q.1 To what extent, for a given
scenario, is my infrastructure able
to keep functioning? This depends
on the sectors MyI relies upon and
its own resilience measures
• Q.2 How quickly will the recovery
process start and how long will it
take?
• Q.3 Will it start independently of
other infrastructures?
9. 9
Economic impact modelling of CI disruption at
country level
No Critical Infrastructure Economic losses
without inventory
(million €)
Economic losses
with inventory
(million €)
1 Air transport 188.9 188.8
2 Electricity, gas, steam and hot water
supply
614.4 481.3
3 Post & Telecommunications 405.4 395.2
4 Water transport 0.7 0.5
5 Land transport; transport via pipelines 285.1 283.2
6 Financial intermediation, except
insurance and pension funding
187.0 131.1
7 Health and social work 27.0 19.0
8 Household sector/ workforce 544.2 379.7
Total (8 CI’s) 2,252.6 1,878.7
Total (all 36 sectors) 3,357.5 2,319.3
10 20 30 40 50 60 70
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Time after disruption (in days)
Inoperability
Critical Infrastructure Initial production
inoperability
Recovery time
Air transport 75% 4 weeks/ 28 days
Rail transport 50% 2 months/ 61 days
Road transport 10% 2 months/61 days
Electricity 75% 2 weeks/ 14 days
Telecommunications 75% 2 weeks/ 14 days
11. 11
Lessons learned
Modelling Interdependencies can help:
• Increase the awareness about the serviceability of
interdependent sectors under critical circumstances
• Identify the criticality of different types of scenarios when
the overall economy is considered
• Foster information sharing relevant to crisis management
among operators
• Sharing of Data and Information - a positive side effect
of modelling
12. 12
The 2nd International workshop on Modelling of
Physical, Economic and Social Systems for Resilience
Assessment
Brussels 14-16 of December 2017
Co-organised by JRC, NIST and Colorado State University
Contact: JRC-Resilience-2017@ec.europa.eu
13. 13
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