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Prediction Markets Summit
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| Time | Interaction | Speaker |
| 8:00 - 8:15 | Continental Breakfast and Registration | Staff |
| 8:15 - 8:30 | Introduction, Agenda, Logistics
Prediction Markets Summit
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| 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 |
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9:30 - 10:00 Prediction Markets Enterprise Case Study: Driving Changes in Employee Morale, Governance and Strategy |
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![]() 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
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| 11:00 - 11:30 |
Collective Intelligence Networks Prediction Markets: Collective Intelligence at Work |
![]() Norris Clark VP - North America |
| 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 |
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| 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 |
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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
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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