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Prediction Markets Cluster®
Special Action/Research Summit
Prediction Markets
European Summit
London, United Kingdom

Thursday-Friday, 11-12, October 2007
Summit Notes
-sponsors-

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Prediction Markets Cluster®
Summit Venue


Putney Embankment
London
SW15 1LB
house@thamesrc.co.uk
Tel/Fax: 020 8788 0798

Location
Thames Rowing Club is situated on Putney
Embankment, between Festing Road and Rotherwood Road. The nearest
tube station is Putney Bridge, on the District Line. The nearest
rail station is Putney, at the top of Putney High Street.

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Summit Notes
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Prediction Markets
European Summit
Summit Notes
Thursday 11 October
2:00-5:30
Special Prediction Markets
Traders' Workshop
(complimentary for registered
summit participants)

|
Time |
Interaction |
Sponsor |
|
2:00
-3:30 |
Prediction Markets Industry
Prediction Markets Industry Association:
Strategy, Structure, Roles,
Objectives
|
Special Working Group |
|
3:30 -
4:00 |
Break |
All |
|
4:00 - 5:30 |
Prediction Markets Industry
Prediction Markets Industry Association:
Strategy, Structure, Roles,
Objectives
|
Special Working Group |
|
6:00 |
Prediction Markets Summit
Reception |
Prediction Markets
European Summit
Summit Notes
Friday 12 October 2007
8AM- 5PM
|
Time |
Interaction |
Speaker |
|
8:00 - 8:30 |
Coffee
and Registration |
Staff |
|
8:30 - 9:00 |
Enterprise PM Research
Information Markets:
Dynamic
Strategy Communication and
Multinational Risk Management
|

Bernd H. Ankenbrand
Managing Director -
The Knowledge Laboratory

Dr. Michael Gebauer

|
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9:00 - 9:30 |
Prediction Markets
The Prediction Markets Market
Space:
Trading Spaces for Collective Intelligence |

John Delaney
CEO

|
|
9:30 - 10:00 |
Prediction Markets Case
Study
Prediction Markets in a Major
Gaming Company
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Matthew Fogarty
Founder

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10:00 - 10:30 |
Prediction
Markets Research
Betting and Prediction Markets:
Some History, Some Evidence and Some Thoughts |

Professor Leighton Vaughan Williams
Betting Research Unit
Nottingham Business School
 |
|
10:30 - 11:00 |
Morning Break |
All |
|
11:00 - 11:30 |
Markets and Applications
Moving Toward a Wider
Adoption:
FT Predict Case Study

|
Will Speck
Director of Research and Business Development

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11:30 - 12:00 |
Collective Intelligence
Networks
Prediction Markets:
Trading Uncertainty for
Collective Wisdom
|

Emile
Servan-Schreiber
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12:00 - 12:30 |
Markets and Applications
Microsoft Prediction Point:
Making Prediction Markets More Accessible |

Henry
Berg
Group Manager
Information Markets Group

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12:30 - 1:00 |
Markets and Applications
Nosco Information Exchange
Moving from Public to Internal Prediction Markets |
Jesper Müller-Krogstrup
Oliver Bernhard Pedersen |
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1:00 -2:00 |
Prediction Markets Summit
Europe Luncheon |
All |
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2:00 -2:30 |
Practice
and Application
Small-Scale Prediction Markets:
Practical Experiments and Findings |

Jed D.
Christiansen
Principal
Mercury Research
|
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2:30 -
3:00 |
Research
Economics of Prediction
Markets:
Current and Future Research Directions
|

Peter Norman Sørensen
Professor of
Finance
Department of Economics
 |
|
3:00 - 3:30 |
Prediction Market Case Study
Prediction Markets for the Swiss Broadcasting Corporation:
Project and Technology Overview |

Günther
Fädler
Peter Gollowitsch
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|
3:30 -
4:00 |
Afternoon Break |
All |
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4:00 - 4:30 |
Panel
Conversation Diffusion
and Adoption |
TBD |
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4:30 |
Prediction Markets Summit Europe Adjournment |
Media Coverage
|

by Bill Saporito, October 16, 2005 |

by Olga Kharif, July 26, 2005 |

by Robert Hof, June 10, 2005 |

11/18/2004 |
|
Australian Financial Review
by James Hall, August 2004 |

by James M. Pethokoukis, 08/22/2004 |

by Barbara Kiviat, 07/06/2004 |

by James Surowiecki, 06/01/2004 |
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by Ajit Kambil, 12/01/2003 |

by Hal Varian, 05/08/2003 |

by James Surowiecki, 03/17/2003 |

by Ajit Kambil, July 2002 |
Summit Notes
Abstract and Benefits
What are
Prediction Markets?
Also known as information markets, decision markets, idea futures, event
derivatives and
virtual markets, prediction markets are speculative markets
created for the purpose of making predictions. Assets are created whose
final cash value is tied to a particular event, outcome or parameter (e.g., total sales next quarter).
The current market prices can then be interpreted as predictions of the
probability of the event or the expected value of the parameter.
People who buy low and sell high are rewarded for improving the market
prediction, while those who buy high and sell low are punished for degrading
the market prediction. Evidence so far suggests that prediction markets are
at least as accurate as other institutions predicting the same events with a
similar pool of participants.
One of the oldest and most famous is the University of Iowa's Iowa Electronic Market.
It has been predicting the results of American presidential elections since
1988 with greater accuracy than polling companies. Prediction markets were
championed in James Surowiecki's 2004 book The Wisdom of Crowds. Prediction
markets are speculated to be useful decision support tools for corporations.
(Wikipedia)
Who uses
Prediction Markets?
The list of
companies using prediction markets to tap internal, future-focused knowledge is
impressive. Microsoft, Google, Yahoo!, Ely Lily, HP and other top,
knowledge-based leaders are achieving fundamental advancements for
knowledge-based business with these
potent market technologies.
"...the idea of markets working within companies has started to seep out into
some of the nation's largest corporations. Companies from Microsoft to Eli Lilly
and Hewlett-Packard are bringing the market inside, with workers trading futures
contracts on such "commodities" as sales, product success and supplier behavior.
The concept: a work force contains vast amounts of untapped, useful
knowledge that a market can unlock. "Markets are likely to revolutionize
corporate forecasting and decision making," says
Robin Hanson, an economist at George
Mason University, in Virginia, who has researched and developed markets.
"Strategic decisions, such as mergers, product introductions, regional
expansions and changing CEOs, could be effectively delegated to people far down
the corporate hierarchy, people not selected by or even known to top
management." (Time Magazine)
More
resources:
http://kmblogs.com/public/item/106758
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