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Transdisciplinary Physics: application of statistical physics to social issues and risk

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Need better assessment of future risk. Long Term Capital Management asset ... polling, referendums, consumer choice. Networks. Facilitate new European network ... – PowerPoint PPT presentation

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Title: Transdisciplinary Physics: application of statistical physics to social issues and risk


1
Trans-disciplinary Physics application of
statistical physics to social issues and risk
  • A proposal for COST action
  • Peter Richmond, Ireland
  • Janusz Holyst, Poland
  • and
  • Sorin Solomon, Israel

2
Assessment of risk is of vital concern in many
areas of public interest
  • Finance and insurance
  • Manufacturing and marketing
  • Health
  • Food safety
  • Public policy making

3
Finance and Insurance
  • Speculative bubbles and manias
  • 17th Century - tulips
  • 18th Century - early emerging markets
  • South sea Mississippi
  • 20th Century
  • Wall St 1929, 1973/4, 1987, 1998/9
  • 21st Century
  • TMT 2000-200?
  • Need better assessment of future risk
  • Long Term Capital Management asset management USA
  • Equitable Life UK
  • Enron

4
Manufacturing and marketing
  • Eg Just in time for ice cream and soft drinks
    manufacturing
  • Consumer choice product selection

5
Health
  • Heart disease

6
Food in Europe much unease, much concern..
  • Salmonella in eggs
  • Lysteria in cheese
  • Benzene in Perrier water
  • BSE in cattle
  • Aids in blood
  • Plague in pigs
  • Dioxin in chicken
  • The Coca Cola mystery
  • Antibiotics in meat
  • Foot and mouth disease
  • Bayes Inverse probabilities

7
Public policy making
  • Expenditure and risk
  • structure of public transport networks
  • Public health strategy
  • Social expenditure
  • Defence and warfare resource allocation
  • Polling and social opinion

8
Research networks
  • Character
  • Predictions

9
Mega amounts of new financial data since 1985
10
Some stylised facts
  • Power law distributions
  • Clustered volatility
  • Correlations

11
Agents models and forces
12
Forces in people agents and groups
buy
Hold
Sell
13
Atoms are inert Agents can learn to .
  • have memory
  • persuade or convince
  • act as group
  • Self organise into cooperative networks
  • Be heterogeneous and differ in world knowledge
    and view

14
New emergent area of physics?
  • UK Institute of Physics Physics in Finance 2000
  • German Physical Society Socio-physics 2000
  • European Physical Society has already held three
    conferences on Quantitative Finance (1999, 2000,
    2001) 2003 Warsaw
  • France, Germany, US Santa Fe, Italy, Bali (?)

15
Opportunity
  • Use new and powerful tools to address important
    questions of public interest
  • Risk
  • finance, food safety
  • Group behaviour
  • polling, referendums, consumer choice
  • Networks
  • Facilitate new European network
  • NOE in FP6 (Santa Fe)
  • Expand recognition of physics and IT
  • Areas of great interest to young people

16
Three working groups
  • WG1 Physics risk
  • What does the data tell us?
  • Empirical models
  • Baysian belief models
  • WG2 Learning agent models
  • Minority games
  • Evolutionary dynamics stochastic equations
  • Probabalistic approaches Fokker Planck type
    equations
  • Memory effects non Markovian processes
  • WG3 Network dynamics topology
  • Structure, dynamics and evolution

17
Management structure timeline
18
Risk COST action Benefits
  • New research expertise brought to bear on issue
    of public importance
  • Risk quantitative finance
  • Risk manufacturing marketing
  • Risk food safety
  • New trans-disciplinary collaborations
  • Social economic sciences ?? physical and IT
    sciences
  • Bridge between innovative new member state
    programmes
  • Stairway to new proposals
  • Eg FP6 RTN?
  • Increase understanding of innovative areas of
    physics
  • Microscopic models interacting agents learning
    models networks

19
Physics and risk
  • Financial and taxation database
  • Shocks and correlations
  • Non extensive models
  • Non Markovian models
  • Agent impact and market response functions
  • Bayesian belief networks
  • Correlation functions of risk
  • Microbial growth
  • Non-Gaussian/power-law variants of Black-Scholes
    options pricing model

20
Network dynamics and topology
  • Network topology and growth
  • Universality and the mechanisms that determine
    scaling exponents
  • Network dynamics and the interplay with network
    geometry.

21
Physics and socio-economic issues
  • Generalised Lotka-Volterra models
  • New models of social opinion
  • Social impact models and effects of localisation
  • Communication in societal, economic and financial
    networks
  • Modelling of collective social intelligence
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