Hey everyone,
This just came through my inbox. Excerpt:
"The found they could predict [team] success largely looking at just two
parameters - the likelihood of a newcomer being in the team, and the
likelihood of a collaboration being repeated. "We were very surprised
because it worked. We were able to reproduce what was going on very nicely,"
Amaral told New Scientist."
-M
Recipe for building 'dream teams' revealed
http://www.newscientist.com/article.ns?id=dn7322
A "universal recipe" for building a "dream team" has been devised by
scientists studying the make-up of the groups behind hit Broadway musicals
and successful science projects.
The perfect creative team contains just the right mix of veterans and
rookies, suggests the mathematical modeling study, carried out by Luís Nunes
Amaral at Northwestern University in Evanston, Illinois, US, and colleagues.
"All the best teams seem to have a certain number of newcomers," says
Amaral, who works on complex systems and network analysis. But he adds: "The
successful teams also have a fair number of people who are established."
Taking completely new people into a team is risky, he explains, as the wrong
mix could lead to failure. But experienced people can help nurture
newcomers, who bring with them novel approaches and a tendency to challenge
dogmas.
The researchers "offer powerful insights into the mechanisms governing
collective human behaviour," writes Albert-Laszlo Barabasi, at the Center
for Complex Network Research at the University of Notre Dame, Indiana, US,
in a perspective accompanying the paper in Science.
Amaral says the results suggest that businesses could recruit outside their
industry to produce a successful team, provided the newcomer is surrounded
by established colleagues.
Impact factor
The research team - itself a mix of vastly different collaborators ranging
from physicists to sociologists - set about analysing the production teams
responsible for Broadway musicals between 1877 and 1990, and scientific
research teams from 1955 to 2004.
The found they could predict success largely looking at just two
parameters - the likelihood of a newcomer being in the team, and the
likelihood of a collaboration being repeated. "We were very surprised
because it worked. We were able to reproduce what was going on very nicely,"
Amaral told New Scientist.
The researchers rated the success of scientific teams by examining the
impact of the journals they published their work in, spanning ecology,
astronomy, social psychology and economics.
"The teams publishing in good journals were built in a different way," he
says. Research teams publishing in lower impact journals tended to repeat
collaborations again and again. The most successful teams did work with the
same colleagues too, but only 75% of the time, he says.
Equal pressure
"When forming a dream team make an effort to include the most experienced
people, whether or not you have worked with them before. The temptation to
work mainly with friends will eventually hurt performance," notes Barabasi.
The study found a similar team make-up for the musical production teams,
assumed to be successful simply by having made it to Broadway. These tended
to increase in size from about two to an average of seven per production
between 1877 and 1929 and has stayed fairly constant since then. For
academic research, team sizes are still growing.
Amaral notes that although Broadway and academic research appears very
different, the pressures of the creative process are the same. "People have
to respond in the same way - with increases in size and collaborating with
people you have never collaborated with before."
Journal reference: Science (vol 308, p 697)
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