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Summer 2009

New York City & Silicon Alley
Prediction Markets Cluster


Prediction Markets Summit
Leading Collective Intelligence Networks

Friday 24 April  2009
8:00am - 4:00pm

Check-in
 Secure, online Check-in required and includes meals, refreshments, materials and Wi-Fi. 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. No on-site registration. Questions?  Please Contact Sarah V. Jones, sarah.jones@pmclusters.com, Tel: 978-468-0267, Fax: 206-984-2429.

 

PM Summit Reception
in vino veritas

Thursday 23 April 2009
5:00-6:00PM
Sponsored By:
Cosentino Winery
For Participants, Guest and Speakers only. RSVP Rqr'd.

PM Clusters.



PM Cluster
Press

Sponsors

Prediction Market Cluster. Prediction Markets Cluster
   
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PM Clusters.  
   
   
   

PM Cluster

Gartner covers prediction markets in their 2008 Hype Cycle for Social Software.

 

New York City & Silicon Alley
Prediction Markets Cluster


PM Clusters

New York City
Seminar & Conference Center

NYC Seminar and Conference Center
71 West 23rd Street
New York, NY 10010
Toll Free: 800-326-5494
NYC: 646-336-4455  •  Fax: 646-514-6783


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  PM Cluster

Prediction Markets Summit
Leading Collective Intelligence Networks

Friday, 24 April  2009
8:00am - 4:00pm

Check-in
Secure, online Check-in required and includes meals, refreshments, materials and Wi-Fi. Questions? 
Please Contact Sarah V. Jones, sarah.jones@pmclusters.com, Tel: 978-468-0267, Fax: 206-984-2429

 


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

All
8:30 - 9:15 Prediction Markets

Iowa Electronic Markets:

Real-money futures markets


PM Cluster

Prediction Market Cluster
George Neumann
George Daly Research Professor of Economics
 PM Clusters
9:15 - 10:00 Collective Intelligence Networks


 Enterprise Prediction Markets:

Leading Organizational Collective Intelligence 

Collective Intelligence.
Maurice Balick
Co-founder, VP & CTO
10:00 - 10:30 Morning Break All
10:30 - 11:30 Prediction Market Research





Prediction Markets:
Combinatorial Prediction Markets

Robin Hanson

Professor, Economist, Polymath
 

11:30 - 12:30 Keynote Presentation



Harnessing Crowds:  
Mapping the Genome of Collective Intelligence

PM Cluster

Thomas W. Malone
Professor of Management
MIT Sloan School of Management

12:30 -1:30 Prediction Markets Luncheon All
1:30 - 2:00 Prediction Markets

Wisdom is Relative:  
Future of PMs
PM Clusters
Daniel Reeves
Yahoo Research Scientist
PM Clusters.
2:00 - 2:30 Enterprise Prediction Markets

Collective Intelligence Solutions:  
Developing Enterprise PMs
PM Cluster.
Brad Wilson
VP Services
Prediction Markets Cluster
2:30 - 3:00 Collective Intelligence Networks





Enterprise Prediction Markets:
Designing Easy, Engaging and Expressive Prediction Markets
 


Leslie Fine, Ph.D.
Chief Scientist

Prediction Market Cluster.

3:00 - 3:30 Afternoon Break & Refreshments All
3:30 - 4:00 Research and Practice
Prediction Markets
Technology Panel
Facilitator
4:00  PM Summit 2009 East Adjournment

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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