CCT2009 Notes

=Introductions=
 * Doug Schuler’s book – Liberating Voices
 * Conference: www.coopsys.org
 * Action Research book - from Australia

Community gone from romanticisation by Marxists in the rural to confusion with ecommerce

=Morning Keynote=

Community History

 * 1980’s - local communities (Santa Monica PEN (1989)
 * 1990’s -Search engines    DejaNews 1995
 * 2000’s - Distributed contributors?

Future

 * Society systems
 * Ecosystem of niche communities -> not islands due to shared membership
 * Infrastructure development

Questions

 * Intentional communities vs. unanticipated communities (because community became necessary to achieve something else)
 * Crowdsourcing things you wouldn’t expect to crowdsource
 * Airline security? -> you can expose the limitations

Items to consider

 * skill sets
 * community standards
 * task independence
 * individual motivation
 * interface and interaction
 * maintaining quality
 * mitigating possible collusion

NSF Grants
Better understanding of people Social and perceptual intelligence
 * NSF directions (SoCS)
 * Collective intelligence -> emerges from collaboration and competition
 * Socially intelligent computing -> Computers as participants

What are the types of problems one could sole when computers and people are partners in large scale systems – The question lying behind NSF grant.

www.Pensivepuffin.com/dwmcphd NSF Social-Computational Systems - > Deadline Sept 21st 2009

Community as a reason to buy something, attend an event and now as a trick to get me to do things – Wayne from UMBC

Look at Virtual Organizations as Social Systems projects –NSF grantmaking program

Network Science and Engineering - NSF grants

Diversity of participants, most interesting projects had the novelty at the interstices

Information Schools

=First Panel Session=

Supportive Communication and Sense of Virtual Community
 * Blanchard and Markus
 * Social Exchange Theory Goulder

Rotman - Youtube community
 * Community can be felt to exist because people only need a very few connections across the network (you can only know a very few people) to feel community (which they feel)
 * Community exists for everyone yet though there isn't a single community out there. Is this a new structure?


 * Can we differentiate people who are in the community or outside? Does the structural analysis reveal types of people?


 * nature of vloggers being "out there"
 * Grounded analysis and graph theory combined provide a better answer.

Online answering services
 * Wiki library services - apparently as reliable as reference library services