KM Cluster: Prediction Markets Summit November 7, 2005

ORGANIZATION NAME: KM Cluster
EVENT NAME: Prediction Markets Summit
EVENT START DATE: 12/2/2005 8:00:00 AM
EVENT END DATE: 12/2/2005 5:00:00 PM
EVENT LOCATION: UCSF Mission Bay, 600 16th Street, San Francisco, CA, USA
EVENT REGION: US - Silicon Valley/Bay Area
EVENT THEME: Business Focused
EVENT DESCRIPTION: Prediction Markets Summit
EVENT PURPOSE: Special Action/Research Event
EVENT SPEAKERS: Google, Yahoo!, HP Labs, Stanford GBS, CommerceNet, etc.
EVENT COST: $349.00
EVENT RELATED WEBSITE: http://www.kmcluster.com/sfo/PM/PM.htm
EVENT CONTACT NAME: John Maloney
EVENT CONTACT PHONE: 415-902-9676
CONTACT EMAIL: jtmalone@pacbell.net
RSVP PHONE: 415-902-9676
RSVP EMAIL/LINK: jtmalone@pacbell.net
MUST ONE RSVP?: Yes!
INVITATION ONLY?: No
PROPER ATTIRE: Business Casual
REFRESHMENTS: Full Meal Included
BUSINESS CARDS: YES - Bring Business Cards
EVENT NOTES: Smart mobs, swarms, crowd wisdom, communities, and knowledge management -- all are getting a lot of popular attention today. Why? Because they are effective. Top knowledge scientists, information market researchers, business school professors, commerce think tanks and market tool providers are converging for a one-day Summit in San Francisco/Silicon Valley on Prediction Markets. Join Google, Yahoo!, Stanford Graduate Business School, HPLabs and others for a one-day, conversational deep-dive of information markets. Sponsored by CommerceNet. http://www.kmcluster.com/sfo/PM/PM.htm Registration open, all are welcome. Prediction Markets are a critical KM frontier. Why? Brush-up here with Colabria Briefings. http://kmblogs.com/public/blog/105430
ORGANIZATION NOTES: Founded in the San Francisco Bay Area and Silicon Valley in 1998, the KM Cluster. is the leading worldwide action/research network and leadership community for the knowledge economy. The scope is global. The focus is local. Action/research event gatherings are conducted on a regional basis. All are welcome. The focus is enterprise collaboration, organizational learning, communities of practice, social networks, knowledge markets, intellectual capital, complexity science, content management, measurement & metrics, policy & procedures, innovation & invention and analytics & taxonomies. For more information, visit: http://www.kmcluster.com