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November 2, 2011: CERN Experiment and Violation of Newton’s Second
Law Englishview
October 13, 2011: CERN Experiment and Violation of the Newton’s
Second Law Persianview
November 24, 2008: A New Definition of Gravitonview
July 10, 2007: Zero Point Energy and the Dirac Equationview
July 10, 2007: Zero Point Energy and the Dirac Equationview
June 28, 2007: Unification and CPH Theoryview
June 14, 2007: Summary of Physics Conceptsview
June 14, 2007: Strong Interaction and CPH Theory Rview
June 4, 2007: Quantum Electrodynamics and CPH Theoryview
November 30, 2006: Vocabulary of CPH Theoryview
November 17, 2006: Thermodynamic Laws Entropy and CPH Theoryview
November 17, 2006: Time Function and Absolute Black Holeview
October 14, 2006: CPH and Timeview
October 13, 2006: CPH Theory and Newton's Second Lawview
October 13, 2006: Time Function and Work Energy Theoremview
October 13, 2006: CPH Theory and Special Relativityview
October 13, 2006: Properties of CPHview
July 31, 2006: A New Mechanism of Higgs Bosons in Producing Charge
Particlesview
July 31, 2006: A New Mechanism of Higgs Bosons in Producing Charge
Particlesview
May 14, 2006: Speed of Light and CPH Theoryview
May 14, 2006: Speed of Light and CPH Theoryview
April 28, 2006: Color Charges Curve Spaceview
April 28, 2006: Color Charges Curve Spaceview
April 17, 2006: Effective Nuclear Chargeview
April 17, 2006: Effective Nuclear Chargeview
April 12, 2006: Maxwell's Equations in a Gravitational Fieldview
April 12, 2006: Maxwell's Equations in a Gravitational Fieldview
April 11, 2006: Realization Hawking - End of Physics by CPHview
April 7, 2006: Questions and Answers on CPH Theoryview
April 7, 2006: Opinions on CPH Theoryview
April 7, 2006: Opinions on CPH Theoryview
April 7, 2006: Questions and Answers on CPH Theoryview
March 23, 2006: Analysis of CPH Theoryview
March 23, 2006: Analysis of CPH Theoryview
March 21, 2006: Logical Foundation of CPH Theoryview
March 21, 2006: Definition Principle and Explanation of CPH Theoryview
March 21, 2006: Logical Foundation of CPH Theoryview
March 21, 2006: Definition Principle and Explanation of CPH Theoryview
March 21, 2006: Experimental Foundation of CPH Theoryview
March 21, 2006: Experimental Foundation of CPH Theoryview
March 19, 2006: Color Charge/Color Magnet and CPHview
March 19, 2006: Sub-Quantum Chromodynamicsview
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A new kind of Big Science |
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A new kind of Big Science
Next summer, the Large Hadron Collider, Europe's $9
billion investment in particle physics, will take a handful of ions,
hurl them through 17 miles of circular tunnel and smash them
together so hard they will shatter into the finest atomic shards
anyone has ever observed.
If all goes according to plan, the glints and flashes
from those shards will at last reveal the mysterious Higgs boson,
the one particle that endows all others with the property of mass.
For those of us who aren't particle physicists, that
may sound awfully exotic, not to mention exorbitantly expensive.
But if we take a step back, and view it in the
broader context of contemporary science, the grand project of
particle physics seems suddenly not such a wild exception, but
rather a vivid example of a very broad trend: Across many different
fields, new data are generated by a smaller and smaller number of
bigger and bigger projects. With this process of centralization come
changes in what scientists measure - and even in what
scientists are.
In physics, a slow drift toward centralization was
given a sudden shove during World War II - think Manhattan Project -
so it is perhaps not surprising that colliders today epitomize what
historians have called "Big Science." But a similar evolution is now
evident in virtually every discipline.
When a crystallographer wants to determine the
structure of a molecule, she signs up for time at a big synchrotron,
which can generate the powerful X-rays she'll need. When a biologist
wants the sequence of a certain genome, he submits his proposal to a
large sequencing center, where armies of automated machines read
their way in parallel through different paragraphs of a genome's
text. And when an ecologist wants to study the effects of all that
extra CO2 in the air, she'll turn to the very same national labs
that achieve particle smashing, Brookhaven and Oak Ridge, which have
built systems for manipulating the atmosphere over entire forests.
It's not only scientific instruments, but also the
scientists themselves who are transformed by centralization. If the
19th century was an age of far-flung investigators alone in the
wilderness or the book-lined study, the 21st century is, so far, an
age of scientists as administrators. Many of the best-known
scientists of our day are men and women exceptionally talented in
herding the resources - human and otherwise - required to plan,
construct and use big sophisticated facilities.
In a way, centralization seems unavoidable. A young
discipline is bound to move first through the data it can gather
most easily. And as it does, it also defines more exactly what it
must measure to test its theories. As the low-hanging fruit vanish,
and the most precious of fruits are spotted high above, bigger
investments in harvesting equipment become necessary. Centralization
is a way to extend scientists' reach.
Of course, there are also some drawbacks. There's
something disturbingly hierarchical about the new architecture of
the scientific community: What was before something like a network
of small villages is today more like an urban high-rise, with big
offices at the top and a lot of cubicles down below.
The trouble with this is not just what it means for
the folks in the cubicles, but also that the entire business should
rely so heavily on the creativity and vision of relatively few
managers. If the glassy office is occupied by Einstein, that's
great, but of course there's always a chance it won't be.
(Tellingly, this point was made to me by a friend who grew up in the
Soviet Union. "Trust me," he said, "centralization is risky.")
And then there's that problem of relating to Big
Science when you're standing outside the building, looking up. The
difficulty is not just that the research is recondite, but that the
work is institutional, as opposed to individual. After all, not many
people really understood the paper on general relativity, but many
did connect with Einstein. Sure, we all pitch in our tax dollars,
but it's hard to feel a whole lot of personal involvement in the
search for the Higgs boson.
But if Big Science is what it takes to gather the
truly precious data, what are we to do?
There is another way to extend our scientific reach,
and I believe it can also restore some of what is lost in the
process of centralization. It has been called Citizen Science, and
it involves the enlistment of large numbers of relatively untrained
individuals in the collection of scientific data. To return to our
architectural metaphor, if Big Science builds the high-rise yet
higher, Citizen Science extends outward the community of villages.
For me, an especially inspiring example of Citizen
Science is the Audubon Society's Christmas Bird Count. Every winter,
from mid December to early January, tens of thousands of intrepid
hobbyists fan out across North America, and together, they do their
best to answer two basic questions: How many birds are there? And
what kinds?
It's a simple sort of data, to be sure, but it is
nonetheless scientifically invaluable. The CBC dataset now covers
109 years, and this remarkable temporal extent, along with
geographic range that spans the continent, enables scientists to
address questions that would otherwise be as inaccessible as a Higgs
boson. Just in the past few years, scientists have used the CBC
dataset to track the emergence and impact of West Nile virus, to
understand the ecological effects of competition between introduced
species and to measure the shift that birds make toward the poles in
response to global warming.
The CBC is surely a glowing exemplar, but there are
many other cases of Citizen Science in action. Even underwater, a
snorkeling citizen can serve science by taking down a few notes,
which he'll enter into a Web site when he returns to shore. The
Internet is a natural medium for Citizen Science. An initiative
known as The Encyclopedia of Life has called upon the world's
hobbyists to contribute their sundry discoveries to a Web-based
library of species: one page per organism, featuring photos,
taxonomy, natural history, even ecology.
Of course, Citizen Science won't be very helpful in
genome sequencing or particle physics. But it will be helpful -
perhaps essential - for gathering a kind of data that will be
increasingly important over the next few decades. Widespread
networks of observers are especially well-suited to detecting global
change - shifts in weather patterns; movements in the ranges of
species; large-scale transformations of ecosystems - and that,
unfortunately, is something we will need to know far more about if
we are to mitigate and adapt to the fateful effects we are having on
the planet.
In the end, though, what may be most important about
Citizen Science is what it could mean for the relationship between
citizens and science. When everyone is gathering data, that rather
austere and forbidding tower becomes a shared human pursuit.
In 1963, Alvin Weinberg, who was then the director of
Oak Ridge, likened Big Science to the greatest monuments
civilizations have ever built: the cathedrals of medieval Europe;
the pyramids of Egypt. But just as we build higher our temples of
scientific investigation, so too should we strengthen their
foundations, and broaden their congregations.
Aaron E. Hirsh, a research associate at the
University of Colorado, Boulder, is a biologist and writer based in
Colorado.
Source: http://www.iht.com/articles/2009/01/15/opinion/edhirsch.php
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@2003-2012 The CPH theory, All right reserved
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