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Lecture 17-18: Modeling Complex Systems and Reasons for Hope (Solution to…
Lecture 17-18: Modeling Complex Systems and Reasons for Hope
Chaos
Disjointed incrementalism
Effective management can occur without complete understanding
Def of Incremental
May try more of the same if smth works
If problem solved they may stop
one small change in existing policy at a time, and then wait to see effects
If problem unsolved, try another small step
small trial-and-error steps
it is not possible to run systems by comprehensively understanding everything
Def of disjointed
Problem not solved by a single govt authority
Divided among small agencies & departments (each one responsible for a small part of the system)
however
Contradictions bet short & long term solutions
Agencies cannot control problems if the causes lie in areas outside their jurisdiction
long feedback delays for trial and error
Chaos theory
Under differing conditions system will behave in an orderly or chaotic way
"butterfly effect"
nearly identical starting conditions can produce very diff system-level behaviours
chaotic behaviour can occur in a deterministic system
Humans are therefore unable to predict & control behaviour of a system
Self-organisation in complex systems
stages of complex evolving systems
Conservation
Regulation of rate of extraction
Release (creative destruction)
inevitable disruptive events
Destroy stability & damage structure
Exploitation
pioneers explore and colonize new territory for resources
Reorganisation of remnants
Moderate levels of creative destruction can be good for the system eg. forest fires->release nutrients into the forest floor
Biological systems tend to oppose chaos
Environmental disaster
Models
Meadow's Limits to Growth
Overshoot & collapse
During overshoot period, irreversible damage done
Human popltn & quality of life collapses
Delays between activity & impact allow a temporary overshoot of carrying capacity
Meadows argues social change is needed urgently
Population & resource use exceed carrying capacity
predicted we would exceed resource use limits in 100 yrs
Cole's Models of Doom
criticises Limits
Ignores technological breakthroughs & future policies
Ignores impacts of war, religions, cultures
Treats world as homogenous
Beyond the Limits book
addresses criticisms in Models of Doom
argues we have alrdy surpassed limits
Over 20 groups support 2 major conclusions
Global system is unstable
Exponential growth cannot continue on a finite planet
we cannot comprehend the system, it behaves in counterintuitive ways
Characteristics that increase likelihood of natural disaster
Exponential population growth
Possibility of irreversible damage
Long time delays
Successful Resource Consumption Programs
Chek Jawa, Pulau Ubin
Nature groups
Public took a strong interest->outcry against reclamation
Reactions of public were compiled & sent to MND by nature groups
began to bring the public there to educate them
Raffles Biodiversity Museum
"salvage collection"
Find out what is there before it's gone
conducted a biodiversity survey
Results
still undeveloped today
MND meets with nature and biodiversity groups to set priority to conserve biodiversity there
MND announced deferment of developt
NParks given authority to manage visitors & preservation of area
wetland area set to be reclaimed in 2001
Keys to success
Personal interconnection with nature
Multilevel communication across stakeholders
Scientific assessments & public response
engaged govt in acceptable & efficient manner
St. Paul, Minnesota Recycling program
Keys to success
Financial incentive to save on trash
Used social network structure to keep ppl in touch, advertise & gain info
Relied on environmental attitudes of citizens
Engaged in political activity to change incentive structure for waste disposal
Neighbourhood Energy Consortium
Lobbied trash companies to curb side collect & use pay-per-can system
Recycling went up to 60-70% of citizens
Started a recycling program paid by $7 increase in property taxes
Private trash pick-up system
too expensive for companies to offer curbside recycling pick up
Hood River, Oregon
Hood River Conservation Program
Community members were audited and renovation of homes for energy efficiency paid for
High response rate
Used social networks to communicate programs, largely through word of mouth
Invested $4400 per home to weatherise homes to make more energy efficient->less costly than making new plants
$20million project to make homes more energy efficient for electrical heating
only 43% of predicted savings but overall still successful
Keys to success
Created Community advisory board
helped in continuing to spread word
Informed BPA of public reactions
Small size of community
easy to reach everyone
Recruitment of households for advance projects
helped with word of mouth publicity
Huge financial incentive
Paid all costs of weatherisation
commitment by major corporation BPA
Background
Hence either need to raise supply or lower demand
Environmentalist wanted to lower demand
Needed to meet predicted increase in use of electricity
BPA wanted to raise supply & build a plant ->cos more predictable than depending on ppl's decisions
Bonneville Power Administration
Solution to Global environmental problems
environmental actions
Design incentives & regulations
Use of local grassroots action
Prioritise energy conservation & fossil fuel use reduction
Address issues of equity
carefully choose policy with greatest impact
Use a variety of methods
Be aware that complex systems can be counterintuitive
Implement upstream measures
Environmental decision making
technical info is needed
may differ from community's desire
need to be fair while technically competent in weighing financial & social costs involved
Politicians often rely on experts for public decision making
eg. German Ministry of R&T
3 step process
Expert panel
Citizen panel
Stakeholder meeting
decided to reject increasing nuclear & rather work on policies to reduce public consumption
considering whether should increase nuclear power to save on fossil fuels
Sorting through numerous options & possible outcomes
Avoiding catastrophe
Alter policy making to improve disjointed incrementalism
Regulate deployment of new technologies
Shorten time delays
Improve detection and signals
Speed up response time
Meadows argues we need to make changes in human activities & human institutions
Lower population targets
Minimise use of non-renewable resources
Lessening of material standards of life
Prevent erosion of renewable resources
Reduce human footprint
Stop exponential population and capital growth
Transition to a sustainable society
Improve environmental measures