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Spring 2009

SF Bay Area & Silicon Valley
Prediction Markets Cluster


Prediction Markets Summit
Leading Collective Intelligence Networks

Friday, 23 January  2009
8:00am - 4:00pm

Check-in
 No on-site registration. Your transaction email response is your event registration receipt. Attractive group, non-profit and academic discounts are available. There are no other discounts, press passes or refunds. Unused tuition is 100% transferable and may be used at future events or by another person.

PM Summit Reception
4:30-5:30PM
in vino veritas

Sponsored By:
Cosentino Winery<4:30-5:30PM
in vino veritas

Sponsored By:
Cosentino Winery

For Participants and Speakers only.


Sponsors

   
   



Research Affiliates

 
   
   
   
   



"I believe that the complexity of the problems facing mankind is growing faster than our ability to solve them. Finding ways to augment our intellect is both a necessary and a desirable goal. The mouse was just a tiny piece of a much larger project, aimed at augmenting human intellect."

Douglas C. Engelbart


The computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation."

Leo Cherne

 

SF Bay Area & Silicon Valley

Historic Fort Mason Center Firehouse
Map



Fort Mason Center Directions
Note: There is no street address. The entrance to Fort Mason Center is at the intersection of Marina Boulevard and Buchanan Street, in the Marina District.

 

 


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Prediction Markets Summit
Leading Collective Intelligence Networks

Friday, 23 January  2009
8:00am - 4:00pm

Check-in
Secure, online registration ($399.00) includes meals, refreshments, materials and Wi-Fi.

 


Time Interaction Speaker
8:00 - 8:15 Continental Breakfast and Registration Staff
8:15 - 8:30 Introduction, Agenda, Logistics

Prediction Markets Summit
Leading Collective Intelligence Networks

8:30 - 9:00 Collective Intelligence Networks







Long Bets:

Betting with real money over the long haul 


Alexander Rose
-and-
William Pietri

-and-
William Pietri

9:00 - 9:30 Collective Intelligence Networks


Zocalo:
An Open-Source Platform for  Prediction Markets

Chris Hibbert
9:30 - 10:00



Prediction Markets Enterprise Case Study: Driving Changes in Employee Morale, Governance and Strategy

Fortune Elkins

10:00 - 10:30337" height="36" align="center" bordercolor="#000000" bgcolor="#CCFFCC"> All
10:30 - 11:00 Collective Intelligence Networks





Enterprise Prediction Markets:
Opportunities and Challenges
 


Leslie Fine, Ph.D.
VP of Market Design

11:00 - 11:30 Collective Intelligence Networks





Prediction Markets:
Collective Intelligence at Work


Norris Clark
VP - North America

news futures

11:30 - 12:00 Prediction Market Case Study


Launching a CFTC Regulated Prediction Market in the Current Environment:
 
A Case Study of the Cantor Exchange

 

Richard Jaycobs


 

12:00 - 12:45 Keynote Presentation





Prediction Markets:
Combinatorial Prediction Markets

Robin Hanson

Professor, Economist, Polymath

 
12:45 -2:00 Prediction Markets Cluster Bayside Cookout
Rain or Shine
All
2:00 - 2:30 Research and Practice






Collective-Intelligence Is Not Just About People:
Combining Artificial Intelligence Agents In Prediction Markets




Edward Mokurai Cherlin
Founder
Earth Treasury


2:30 - 3:00 Prediction Market Practice


Improving Policy & Expenditure in Government 


Scott Bird
Legal Advisor

3:00 - 3:30 Afternoon Break & Refreshments All
3:30 - 4:00 Research and Practice


Prediction Markets
Technology Panel
Facilitator
Chris Hibbert

Bo Cowgill
Norris Clark
Robin Hanson
Richard Jaycobs
Leslie Fine, Ph.D.


4:00  PM Summit 2009 Adjournment
4:30 - 5:30  PM Summit Reception
in vino veritas

Sponsored By:
Cosentino Winery
The Long Now Foundation

Abstract and Benefits

What are Prediction Markets ?

Also known as information markets (PM), decision markets, idea futures, 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)

 What are Collective Intelligence Networks?

Collective Intelligence Networks (CIN) are an entirely new way to share, trade and aggregate information. They embrace complex social networks, collaboration and market dynamics to achieve fundamental increases in human capacity for learning, reasoning, understanding, aptitude and adaptation. CINs furnish a new capability infrastructure comprised of human relationships, diverse, far reaching information and markets, creating effective, fast-moving, and social information interchanges. This capability propels optimization and mastery of complex information and knowledge ecologies.

Collective intelligence Networks are growing rapidly. These networks help companies, schools, governments, and individuals to acquire, to create and lead ever-growing bodies of knowledge. Through a ceaseless flurry of self-organizing value exchanges, wikis, blogs and information markets, these stunning network capabilities achieve mastery of collective intelligence with breathtaking speed, accuracy and continuity.


Collective intelligence networks continuously amass, codify, refine and advance knowledge. Open, value-based networks enable far better decision making about product launches, features, policies and myriad other critical questions facing organizations, businesses, the environment and civil society.
 


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