Dirk Helbing (ETH Zurich) New science and technology to understand - - PowerPoint PPT Presentation

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Dirk Helbing (ETH Zurich) New science and technology to understand - - PowerPoint PPT Presentation

Global Participatory Computing for Our Complex World Dirk Helbing (ETH Zurich) New science and technology to understand and manage our complex world in a more sustainable and resilient way What It Means to Live in an Information Age


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Global Participatory Computing for Our Complex World

Dirk Helbing (ETH Zurich) New science and technology to understand and manage our complex world in a more sustainable and resilient way

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What It Means to Live in an Information Age

Hyper-connected systems

These have created great opportunities, but also systemic risks and too much complexity

Big Data

Will produce more data in next 10 years than in previous 1000 years ICT is part of the problem, but also key to the solution! Need to understand socially interacting systems!

Source: WEF

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We Can‘t Anymore Do Business As Usual

“Our financial, transportation, health system are broken.” Sandy Pentland, MIT Media Lab “We are seeing an extraordinary failure of our current political and economic system.” Geoffrey West, former president of the Santa Fe Institute

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Networking is Good … But Promotes Cascading Effects

§ We now have a global exchange of people, money, goods, information, ideas… § Globalization and technological change have created a strongly coupled and interdependent world Network infrastructures create pathways for disaster spreading! Need adaptive decoupling strategies.

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EU project IRRIIS: E. Liuf (2007) Critical Infrastructure protection, R&D view

Failure in the continental European electricity grid on November 4, 2006

Cascading Effect and Blackout in the European Power Grid

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Are Derivatives Financial Weapons

  • f Mass Destruction?

Buffett warns on investment 'time bomb'

Derivatives ar Derivatives are financial weapons of mass destruction e financial weapons of mass destruction Warren Buffett The rapidly growing trade in derivatives poses a "mega-catastrophic risk" for the economy ..., legendary investor Warren Buffett has warned. The world's second-richest man made the comments in his famous and plain-spoken "annual letter to shareholders", excerpts of which have been published by Fortune magazine. The derivatives market has exploded in recent years, with investment banks selling billions of dollars worth of these investments to clients as a way to off-load or manage market risk. But Mr Buffett argues that such highly complex financial instruments are time bombs and "financial weapons of mass destruction" that could harm not only their buyers and sellers, but the whole economic system. (BBC, 4 March, 2003)

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The Flash Crash on May 6, 2010

The flash crash turned solid assets into penny stocks within minutes. Was an interaction effect, no criminal act, ‘fat finger’, or error. 600 billion dollars evaporated in 20 minutes

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Cascading Effects During Financial Crises

Video by Frank Schweitzer et al.

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Need New Science to Fill Knowledge Gaps

For 30 years or so have we globalized our world and pushed for technological revolutions, but the global systems science to understand the resulting complex systems is lacking. 1. Science of systemic risks 2. Practically relevant theory of complex systems 3. New data science 4. Integrated systems design to manage complexity 5. Coevolution of ICT with society

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Our Thinking Determines What We See …

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…And What We Can’t See…!

We need to overcome the limitations of our conventional thinking!

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We Should Not Trust Our Intuition

Geocentric Picture: Epicycles around the Earth Heliocentric Picture: Elliptical paths around the sun

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Emergent Phenomena in Pedestrian Crowds

At low densities: self-organized lane formation, like Adam Smith’s invisible hand At large densities: coordination breaks down

At high densities, several people may compete for the same gap and block each other. This constitutes a conflict and causes intermittent

  • utflows and a faster-is-slower

effect.

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Low Predictability Due to the Sensitivity to Varying Model Parameters

100 120 140 160 180 200 220 240 260 280 300 320 340 360 DS DS 89 180 240 01-DHF 01-DHF critical ontime 01-ST_dhf 01-ST_dhf 380 460 540 620 02-QDR_1 02-QDR_1 300 360 420 03-SC_1 03-SC_1 380 460 540 620 04-QDR_2 04-QDR_2 300 360 420 06-SC_2 06-SC_2 380 460 540 620 07-QDR_3 07-QDR_3 510 570 08-DMG 08-DMG

Thr Throughput

  • ughput

TEST_1 TEST_1 TEST_2 TEST_2 TEST_3 TEST_3 Analyse software 266,8 255,9 246,1 Production machine 150,9 155,5 178,4 Dif Differ ference in w/h ence in w/h 115,9 115,9 100,4 100,4 67,7 67,7 Wet Bench in Semiconductor Production

Chemical Water Chemical Chemical Water Water Park Positions Dryer Input, Output GC

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Old recipe:

  • ca. 170/h

New recipe:

  • ca. 230/h

Slower-is- faster effect

Paradoxical Slower-Is-Faster Effect in Chip Production

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As Coupling Gets Stronger, System Behavior Can Change Completely: Traffic Breakdowns

Thanks to Yuki Sugiyama At high densities, free traffic flow is unstable: Despite best efforts, drivers fail to maintain speed Capacity drop, when capacity is most needed!

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As Coupling Gets Stronger, System Behavior Can Change Completely: Crowd Disasters

At low densities: self-organized lane formation, like Adam Smith’s invisible hand At large densities: coordination breaks down Love Parade Disaster in Duisburg, 2010

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Different recipes, new solutions, and a paradigm shift in

  • ur understanding of the world are needed.

Too Much Networking Can Cause Self- Destabilization: Breakdown of Cooperation

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Strongly Coupled and Complex System Behave Fundamentally Different

1. Faster dynamics 2. Increased frequency of extreme events – can have any size 3. Self-organization dominates system dynamics 4. Emergent and counterintuitive system behavior, unwanted feedback, cascade and side effects 5. Predictability goes down 6. External control is difficult 7. Larger vulnerability Change of perspective (from a component- to an interaction-

  • riented view) will reveal new

solutions! Need a science of multi-level complex systems!

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Instruments to Explore the World

Hubble, Nasa Connect web experiments with data mining and modelling tools to reach an acceleration of knowledge generation as in the Human Genome Project

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People Models Data

create new technology provide data

Build platforms to explore & interact Create systems to sense & understand Develop models to simulate & predict

Turn data into information Turn knowledge into wisdom Turn information into knowledge

What is? What if? What for?

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Global Participatory Platform Living Earth Simulator

create new technology provide data

Models to simulate & predict Platforms to explore & interact Systems to sense & understand

Innovation Accelerator Planetary Nervous System

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Global Participatory Platform Living Earth Simulator

create new technology provide data

Models to simulate & predict Platforms to explore & interact Systems to sense & understand

Innovation Accelerator Planetary Nervous System

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Crowd-Sourcing 3D Environments

See also Open Streetmap - the free Wiki world map

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More Sustainability and Resilience through Collective, ICT-Enabled (Self-)Awareness

1. Goal: Measure the world’s state and ‘social footprint’ in real time, detect possible threats and opportunities 2. Use smartphones, social media, digital news sources, sensors… 3. Incentives to provide data 4. Control over own data 5. Privacy-respecting data mining

Painting by Maurits Cornelis Escher

Requires a ‘Planetary Nervous System’ to answer ‘what is’ questions and a ‘Living Earth Simulator’ to answer ‘what if’ questions.

Examples: Open streetmap, earthquake sensing and warning

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Happiness GDP Consider social capital:

§ Solidarity, cooperativeness, § compliance, § reputation, trust, § attention, curiosity, § happiness, health, § environmental care…

Green = Happiest Blue Purple Orange Red = Least Happy Grey = Data not available

New Compasses for Decision-Makers

Goal: Create indices better than GDP/capita, considering health, environment, social well-being, … to promote sustainability

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Global Participatory Platform Living Earth Simulator

create new technology provide data

Models to simulate & predict Platforms to explore & interact Systems to sense & understand

Innovation Accelerator Planetary Nervous System

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Data Data Models Models Validation alidation

infection infection

geographic geographic data data

For Forecasts ecasts

demographic demographic data data transport transport data data contact contact network network models models agent- agent- based based models models multi- multi- scale scale models models

+ =

policies ... ...complexity complexity... ... predictions scenario analysis

(thanks to Alex Vespignani)

priorities

Possibilities are limited, but even short-term prediction can be useful, as weather forecasts or new traffic light controls show.

  • Analysis of “What if …” Scenarios

§ Integrate data and models § Scale them up to global scale § Make them more accurate

Building FuturICT’s Living Earth Simulator

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Modelling the global spread of H1N1,

combining models of epidemiology and global travel data

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Building FuturICT’s Living Earth Simulator

§ Integrate existing models (traffic, production, economic system, crowd behavior, social cooperation, social norms, social conflict, crime, war…) § Scale them up to global scale § Increase degree of detail, accuracy (statistical and sensitivity analysis, calibration, validation, identification of crucial and questionable modeling assumptions,…)

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Interactive Virtual Worlds for Exploration

Multi-player serious online games across diverse platforms

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Interactive Virtual Worlds as Experimental Testbed

For example different financial architectures, voting rules, transparency and privacy settings, etc.

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Managing Complexity: Is It a Lost Battle?

§ In a strongly varying world, strict stability and control is not possible

anymore or excessively expensive

§ Example: Public spending deficits § Hierarchically organized structures have a

critical size, beyond which they become unstable

§ Examples: Decay of Soviet Union; many failed mergers in the last

decade (Daimler-Chrysler, BMW-Rover, Allianz-Dresdner Bank, …)

§ A paradigm shift towards flexible, agile, adaptive systems is needed,

possible - and overdue!

Boeing 747: Constructed for stable flight Su-47: Utilizes dynamic instability

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How to Utilize Properties of Complex Systems? Don‘t Fight the System, Go With the Flow!

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Managing Complexity: Modifying Interactions Allows to Promote Favorable Self-Organization

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Self-Control of Traffic Lights: Making More Out of Scarce Resources

Inspiration: Self-organized

  • scillations at bottlenecks

Optimal compromise between coordination and local flexibility Measurement input Licensing Opportunity

Smarter Cities

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Avoiding Crowd Disasters

October, 3rd, 2011 STS Forum, 8th Annual Meeting, Kyoto

§ Avoiding crossing and counter-flows § Real-time flow monitoring § Adaptive rerouting § Contingency plans

Beneficial for all mode

  • f transport and for

the environment Situation in 2006

Flow Monitoring in 2007 Resilient Flow Organization in 2007

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Conflict in the Middle East: Possible Future Scenarios

‘Business as Usual’ Clinton Parameters

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Global Participatory Platform Living Earth Simulator

create new technology provide data

Models to simulate & predict Platforms to explore & interact Systems to sense & understand

Innovation Accelerator Planetary Nervous System

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An Open, Transparent Platform for Everyone

§ Goal: A ‘data and model commons’, an open platform for everyone § Potentials: New services and jobs, less barriers for social, economic and political participation § Problem: A new public good, requiring mechanisms to avoid data pollution, manipulation, misuse, privacy intrusion, cybercrime § How to promote responsible use? § Need to develop a Trustable Web, a self-regulating information ecosystem

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Socio-Inspired ICT

Understanding the hidden laws and processes of society Development a new wave of robust, trustworthy and adaptive information systems based on socially inspired paradigms. Fundamental transformational effect on ICT and Computer Science

  • 1. Collective awareness
  • 2. Social adaptiveness
  • 3. Socio-inspired,

bottom-up self-organization Facebook is by now

  • ne of the most

valuable companies in the world

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§ Cooperation, § adaptability and self-regulation, § conflict resolution, § resilience, § trust, § reputation, § social norms, § values, ethics, and § culture

Coming Era of Socio-Inspired Innovations

Understanding socially interactive systems facilitates socio-inspired ICT Economic benefits! New solutions to societal problems! Example: A ‘Trustable Web’, reputation-based and self- regulating, to keep cybercrime low

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Client Server Systems vs. Peer to Peer Systems

Client-Server Systems Peer-to-Peer Systems Source Application example: Skype

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The Dilemma of Social Cooperation

The prisoner's dilemma game has served as prime example of strategic conflict among individuals. It assumes that, when two individuals cooperate, both get the “reward” R, while both receive the “punishment” P< R, if they defect. If one of them cooperates (“C”) and the other one defects (“D”), the cooperator suffers the “sucker’s payoff” S < P , while the payoff T > R for the second individual reflects the “tempation” to defect. Additionally, one typically assumes S+T < 2R.

R1 R2 S1 T2 T1 S2 P1 P2 Cooperate Defect Cooperate Defect

Player 2 Player 1 For example: S1 = S2= S = -5 P1 = P2= P = -2 R1 = R2= R = -1 T1 = T2= T = 0 Many “social dilemmas” are of a similar kind (see public goods game)

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Red, yellow: defectors (cheaters) Blue, green: cooperators

Emergence of Cooperation in Social Dilemma Situations

Imitation of the best-performing neighbor, success-driven mobility, and trial-and-error together can cause an outbreak of cooperation, but no subset of these social mechanisms Overfishing, global warming, misuse of social benefit systems, tax evasion, free-riding

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How the Costly Sanctioning of Free-Riders Can Survive and Moral Behavior Spreads

D = Defectors (Free-Riders), M = Moralists, I=Immoralists C = Non-punishing Cooperators (Second-Order Free-Riders)

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The “Unholy” Alliance of Moralists and Immoralists

D = Defectors (Free-Riders), M = Moralists, I=Immoralists C = Non-punishing Cooperators (Second-Order Free-Riders)

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Overcoming the Tragedy of the Commons by Spatial Interactions

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Social Money

Thanks to Frank Schweitzer and Dirk Brockmann

Treat money as nodes in a money flow network rather than as a one- dimensional entity (scalar), give it multi-dimensionality, memory, history, reputation.

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Stop Searching Where the Light Is!

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Big Data = Big Opportunities, also for Science

How to turn data into knowledge? § theoretically informed data-mining § models to understand

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Big Data = Big Challenges

3 workshops on ethics,

  • wn research focus.

Cybercrime

  • Privacy
  • Data security
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Are These Really Twitter Revolutions?

The Arabic Blogosphere

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transition democracy hierarchy

Transition from hierarchies to democracies (source: Jürgen Mimkes)

World GNP and fertility

5 . 0 0 0 1 0 . 0 0 0 1 5 . 0 0 0 2 0 . 0 0 0 2 5 . 0 0 0 3 0 . 0 0 0 3 5 . 0 0 0 1 2 3 4 5 6 7 8

fe rt i lit y f, c h ild re n p e r w o m en G N P per p erson in US $ hierarc hies transition dem oc racies transition line dem o craci es h ierarch ies

Political Cascading Effects

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Food Prices as Triggers of Social Unrests

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Is Surveillance A Good Solution?

§ The Internet cannot be controlled top down (we cannot even control the financial system) § Rather apply principles of decentralized self-regulation (as in

  • ur immune system)

§ Build on transparency, reputation systems “The internet has totalitarian potential.”

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Why Privacy Is Important

§ Public and private are two sides of the same medal § Privacy is a pressure relief system that allows people to adapt to expectation

  • f others during public exposure

§ Protection of minorities, protection of socio-diversity § Reduction of conflict § If there is no protected private space, people will stop thinking independently, which undermines the wisdom of crowds § If there is no privacy, there is no intimacy, i.e. partnerships and friendships as we know them Free space is needed for individuals to recover and for society to innovate and evolve. Example: My diary and trust

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The Crucial Question Is, How One Can Get Ethical Dimensions into our Systems Value sensitive design!

Source: Yi-Cheng Zhang et al.

Avoid conformity and herding effects, protect socio-diversity

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Computers Think for Us: The Filter Bubble

Risk of manipulation and

  • ver-confidence.

Supporting egocentric consensus may promote segregation and conflict between groups with different preferences.

These questions may have fundamental societal implications. They deserve and require scientific study!

Eli Pariser

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FuturICT Is Big Science

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Thanks for your interest and thanks to all supporters!