MIT Center for Collective Intelligence
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A user’s guide to the building blocks of collective intelligence: By recombining CI “genes” according to the work required, managers can design the powerful system they need. Google. Wikipedia.
Thomas W. Malone (MIT), Anita Williams Woolley (Carnegie Mellon), Christopher Chabris (Union College) and Nada Hashmi (MIT) Intelligence tests can predict the performance of individuals across a broad range of tasks. Imagine if we had an instrument that could predict the performance of groups—combinations of people assisted by computers, telecommunications links, and other man-made devices—across a range of relevant tasks. And imagine that this instrument would allow us to test whether efforts to improve performance on key tasks actually succeeded in making a group “smarter.”
Information markets, wikis and other applications that tap into the collective intelligence of groups have recently generated tremendous interest.
Copyright 2010 Betsey Merkel and I-Open. Creative Commons 3.0 Attribution-Noncommercial-No Derivative Works. Institute for Open Economic Networks (I-Open) 4415 Euclid Ave 3rd Fl Cleveland, Ohio 44103 USA about being all members of a swarm and these COINS – these Collaborative Innovation Networks – for me, they are the main building blocks of those self-organizing groups of people that I call the swarms. I have stumbled on this idea of the swarm by chance when I was in Paris with my children and we were looking for restaurants and on the first day we ended up on top of Monte Martre, which is the place where all the tourists go so what we did at that time was we did not follow the swarm we followed the crowd.
From Handbook of Collective Intelligence One effort to create a taxonomy of collective intelligence is underway in the MIT Center for Collective Intelligence as part of the Handbook for Collective Intelligence project. So far, this project has included three “generations” of taxonomies.
Collective intelligence, in some form, has been around at least as long as humans have. Families, armies, countries, and companies have all—at least sometimes—acted collectively in ways that seem intelligent. But in the last few years, a new kind of collective intelligence has begun to emerge: groups of people and computers, connected by the Internet, collectively doing intelligent things. Consider Google, for instance.
h-index is the largest number h such that h publications have at least h citations. The second column has the "recent" version of this metric which is the largest number h such that h publications have at least h new citations in the last 5 years. hide i10-index is the number of publications with at least 10 citations. The second column has the "recent" version of this metric which is the number of publications that have received at least 10 new citations in the last 5 years. hide This is the number of citations to all publications.
Deliberatorium : Supporting Large-Scale Online Deliberation
Do groups have genetic structures? If so, can they be modified? Those are two central questions for Thomas Malone , a professor of management and an expert in organizational structure and group intelligence at MIT’s Sloan School of Management .
About me and why I read this book
What makes a group able to succeed at large number of different tasks? Women, sharing, and sensitivity. When it comes to a successful group, the easiest way to ensure victory may be placing women on the team.
It's also possible for groups of people to work together in ways that seem pretty stupid, and I think collective stupidity is just as possible as collective intelligence. Part of what I want to understand and part of what the people I'm working with want to understand is what are the conditions that lead to collective intelligence rather than collective stupidity. But in whatever form, either intelligence or stupidity, this collective behavior has existed for a long time. What's new, though, is a new kind of collective intelligence enabled by the Internet. Think of Google, for instance, where millions of people all over the world create web pages, and link those web pages to each other. Then all that knowledge is harvested by the Google technology so that when you type a question in the Google search bar the answers you get often seem amazingly intelligent, at least by some definition of the word "intelligence."
This is interesting, but humans have always had a process of collective intelligence. We call it "culture." Modern communications/computing technology has just made the process faster. "our future as a species may depend on our ability to use our global collective intelligence to make choices that are not just smart, but also wise."
Information markets, wikis and other applications that tap into the collective intelligence of groups have recently generated tremendous interest. But what”s the reality behind the hype? Companies have long used teams to solve problems: focus groups to explore customer needs, consumer surveys to understand the market and annual meetings to listen to shareholders. But the words “solve,” “explore,” “understand” and “listen” have now taken on a whole new meaning.
Thursday, Oct. 4, 2007 5 - 7 p.m. Bartos Theater Abstract A conversation about the theory and practice of collective intelligence, with emphasis on Wikipedia , other instances of aggregated intellectual work and on recent innovative applications in business. Speakers Karim R. Lakhani is an assistant professor in the Technology and Operations Management Unit at the Harvard Business School where he studies distributed innovation systems and the movement of innovative activity to the edges of organizations and into communities.