Peter Drucker said that the model for modern management was the orchestra.
Now they are fleshing out the meaning of what he was saying at MIT.   These
are the principles of group learning taught in musical ensembles and to a
lesser degree in sports teams.    Of course, before this there was Edward T.
Hall [proximics],  Peter Senge [learning organizations], John N. Warfield
[Interactive Management] and all of the Arts and Sports pedagogies on team
learning. 

REH

PS. Steve Kurtz sent this to me.

Group IQ By Carolyn Y. Johnson December 19, 2010

http://www.boston.com/bostonglobe/ideas/articles/2010/12/19/group_iq/


For a century, people have been devising tests that aim to capture a
person's mental abilities in a score, whether it is an IQ test or the SAT.
In just an hour or an afternoon, a slate of multiple choice questions or
visual puzzles helps sift out the superstars - people whose critical
thinking skills suggest they have potent intellectual abilities that could
one day help solve real-world problems.

But separating the spectacularly bright from the merely average may not be
quite as important as everyone believes. A striking study led by an MIT
Sloan School of Management professor shows that teams of people display a
collective intelligence that has surprisingly little to do with the
intelligence of the team's individual members. Group intelligence, the
researchers discovered, is not strongly tied to either the average
intelligence of the members or the team's smartest member. And this
collective intelligence was more than just an arbitrary score: When the
group grappled with a complex task, the researchers found it was an
excellent predictor of how well the team performed.

The new work is part of a growing body of research that focuses on
understanding collective behavior and intelligence - an increasingly
relevant topic of research in an age where everything from scientific
progress to entrepreneurial success hinges on collaboration. Embedded in a
century's worth of Broadway shows, the interactions of online communities,
or the path a ball travels between soccer players, researchers are finding
hints about how individual people contribute to make a group creative and
successful.

The interest is fueled in part by the Internet, which provides an
unprecedented opportunity for people to join and leave groups, unbounded by
geography. In the digital age, interactions between people are also creating
a huge stream of data, giving scientists new ways to glean precise insights
about how complex, aggregated behaviors arise. What they are finding is that
groups, as entities, have characteristics that are more than just a summing
up or averaging of those of its members.

"Intuitively, we still attribute too much to individuals and not enough to
groups. Part of that may just be that it's simpler; it's simpler to say the
success of a company depended on the CEO for good or bad, but in reality the
success of a company depends on a whole lot more," said Thomas W. Malone,
director of the MIT Center for Collective Intelligence and senior author of
the recent study, published in the journal Science. "Essentially what's
happening as our society becomes more advanced and more developed is that
more things are done by groups of people than by individuals. In a certain
sense, our intuitions about how that works haven't caught up with the
reality of modern life."

As the mechanics of how groups work emerge, such insights are forming the
basis of a scientific approach to engineering better groups, with
experiments already unfolding in sports arenas and scientific laboratories.
The best- selling book "Moneyball" told the story of how the Oakland
Athletics used an unconventional statistical approach to build a winning
baseball team without a big budget. The new research suggests it may one day
be possible to give a test to a sales team and predict how well it will sell
in the following year, or to pick a management team with a good sense of
exactly how it is likely to respond to an array of challenges.

"It's kind of staggering, it's 2010 and we're only beginning to realize what
look in this paper to be very strong effects," said Iain Couzin, an
assistant professor of ecology and evolutionary biology at Princeton
University who studies collective behavior in animals. "I run a relatively
large lab, and I was thinking reading this paper about how I could make my
lab more effective."

People have been studying group dynamics for decades, seeing crowds
variously as sources of madness and wisdom. Theories have arisen about
people acting in plural, from the "groupthink" decision-making in the Bay of
Pigs invasion to the "collective mind" of the flight operations on an
aircraft carrier. But despite that long history, Malone and colleagues could
not find an example in which people had asked the relatively simple question
of whether groups had intelligence, the same way individual people do.

The field of measuring and ranking people's mental aptitudes has been rife
with controversy, but the finding that something called "general
intelligence" exists has persevered. By giving people a set of tests,
researchers can calculate a factor that predicts how a person will perform
on a variety of cognitive tasks - as well as their performance in school and
work. The MIT and Carnegie Mellon University researchers decided to see if
the same concept applied to groups. While people have measured group
performance on specific tasks, what Malone sought to understand was whether
there was such a thing as general group intelligence.

In two studies, researchers divided 699 people into groups of two to five
people. They measured each team member's intelligence individually, but then
gave the teams intelligence-testing tasks to solve - figuring out the next
pattern in a sequence, brainstorming the different potential uses of a
brick. Then, the group performed a more complex "criterion" task, such as
playing checkers against a computer or completing a complicated
architectural task with Legos, which was used to understand whether the
collective intelligence researchers measured in the initial tasks correctly
predicted the group's abilities.

What the researchers found was that groups' collective intelligence strongly
predicted how well they did in the computer checkers game and on the Legos
task - evidence that something called "collective intelligence" did in fact
exist. What was more surprising, however, was that neither the average
intelligence of the group members nor the person with the greatest
intelligence strongly predicted how well the group did.

Other tenets of group success also seemed to fall by the wayside: A group's
motivation, satisfaction, and unity were unimportant. Instead, the
researchers found that when a group had a high level of collective
intelligence, the members tended to score well on a test that measured how
good they were at reading other people's emotions. They also found that
groups with overbearing leaders who were reluctant to cede the floor and let
the others talk did worse than those in which participation was better
distributed and people took turns speaking. And they also found that the
proportion of women in the group was a predictor of collective intelligence
- a factor they believe was likely influenced by women's generally superior
social sensitivity.

Though intriguing, this work is just a first step. What Malone and
colleagues are ultimately interested in is how to predict a group's
abilities in real-life scenarios - how they handle an environmental cleanup
or design a blockbuster product. Legos and checkers are a surrogate for
complicated tasks, but the ultimate test will be in determining whether
collective intelligence truly predicts how teams, of all sizes, work on
everyday tasks. Since groups and situations in the real world have fluidity
and complexity whose individual components can be difficult to break down
and measure, however, other research is focusing on dissecting the dynamics
that build to group behavior.

Take the game of soccer: A player who never scores a goal may play an
integral part in the team's success. Baseball has its RBIs, ERAs, and OBPs,
but, as with soccer, most real-life activities do not come with discrete
statistical measures of how people interact or work together toward a goal.
In a paper published in the journal PLoS ONE this summer, Luis A. Nunes
Amaral, a professor of chemical and biological engineering at Northwestern
University, worked with colleagues to see if they could quantify individual
players' performance by modeling the game of soccer - creating a network in
which each player in each match of the 2008 Euro Cup is a node, and tracing
the ball flow between them. Each time the ball flowed toward a possible
shot, it passed through players on a team, and measuring just how central
any one player was in that team flow allowed the researchers to develop a
quantitative measure of the individual players' contributions to the team.

Amaral has also studied how team members contribute to creativity by
analyzing 113 years of Broadway musicals. In a 2005 paper in Science, he
studied the changing rosters of librettists, lyricists, producers,
composers, choreographers, and directors and found that success and
creativity seemed to depend on groups that do not become stale, using the
same slate of collaborators each time. The same thing held true for teams of
scientists conducting research in various scientific disciplines over 50
years.

Questions about how to make groups better have taken on new urgency as
evidence has accrued that teams are usurping the central spot once occupied
by solo contributors. A 2007 Science study found that in science and
engineering, patents, social sciences, and even to some extent in the arts
and humanities, there is a shift at work - new knowledge is increasingly
being produced by teams.

"This is a matter that is of national interest," Amaral said. "We have
limited resources to spend on any activity - including scientific research -
so we would want to get highest possible benefit from the money we spend."

The tendency to assign credit to a discrete individual, not a group, runs
deep. There are certainly group projects in school and bonuses built on team
performance, but there is also a seemingly inescapable impulse to search in
a group for the narrative of the individual. How did the president guide the
country at a particular time? Who is the scientist that created the
lifesaving drug? People gravitate toward stories of individuals who matter,
despite the fact that much of human history has been shaped not by one
person at a time but by networks of people, whether they are bands of
hunter-gatherers or corporations.

"Very rarely are we coming up with something that influences the rest of
society as a maverick, on our own," said Robert Goldstone, a professor of
psychological and brain sciences at Indiana University.

Instead of seeing groups as nameless and faceless affiliations that swallow
up an individual's identity, the new work on collective behavior suggests
that in company lies opportunity. The field of intelligence testing has long
been controversial, in part because of concerns that such scores were crude
and biased, pigeon-holing people as stupid or smart. In contrast, collective
intelligence offers a new spectrum of possibilities. Instead of pronouncing
a person's intellectual engine good or bad, the research suggests that group
intelligence is highly malleable and that concrete steps - such as mixing
newcomers into an established team or not allowing a single leader to
dominate - could fundamentally alter the group's intelligence.

More broadly, groups and the complex social structure of human interactions
may help account for how people got "smart" in the first place. The dramatic
changes in science, culture, art, language, technology, and music over the
past thousand years are not due to the development of brand-new mental or
physical capacities. Instead, it is a particular kind of group benefit,
Goldstone argues, in which human progress bootstraps upon itself through a
collective cultural memory. Knowledge ratchets up in successive generations
without our having to reinvent technologies, discover laws of nature anew,
or risk tasting all the mushrooms in the forest.

"There's been a tendency to focus on the negative, the mob psychology, the
idea that people can bring out the worst in each other," Goldstone said.
"There's just as much evidence that people can bring out the best in each
other."

Carolyn Y. Johnson is a Globe reporter. E-mail [email protected].

C Copyright 2010 Globe Newspaper Company.

 

 

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