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In the
story of Hansel and Gretel, Hansel has the brilliant foresight to leave
breadcrumbs on the winding forest path so that he and his sister may find their
way home again. Unfortunately his plan
did not take into account the hungry birds that used his path markers for other
more nourishing needs. In a similar but
different manner, Americans have for years been leaving electronic breadcrumbs (from smartphones, social media
postings, purchase records, emails, traffic sensors, GPS units, etc.) behind us
as we travel along our ever-more technologically-laden path. And this isn't a handful of breadcrumbs that
can lead us back to where we started; rather we’re looking at a solar-sized pile
of data (metaphorically speaking) which, once we harness it, could propel us
into the future. This is Big Data within
which NPR’s
Adam Frank believes is a “hyper-resolution map of the world’s behavior in
space and time.”
Imagine
if all the traffic sensors, traffic cameras, computers in cars, and drivers’
smartphones communicated with one another to create an interconnected network
of information from which citizens and transit agencies could know of hazards,
alternate routes, and or even alternate modes of transportation for today’s
trip. The problem has been for many
years not that we didn't use all this data we were creating but that we hadn't had the technology to make sense of it. Now
scientists, economists, entrepreneurs, and politicians are realizing that the
technology is closer than ever before, and policy makers, in D.C. particularly,
would be wise to keep abreast of Big Data’s massive potential. Though real world applications in Big Data transportation
are best seen on the local and regional levels, the federal government, itself
a major manufacturer of data, has a key role in policy making. According to a report from the TechAmerica
Foundation called “Demystifying
Big Data”, the federal role is one of support, facilitation, and
standardization, i.e. to bring more collaboration between agencies, actively
support and encourage data science talent, and proactively address the
perennial concern over security and personal privacy.
It
should first be mentioned that TechAmerica, similar to the Brookings Institute,
is a non-profit, non-partisan group made up of high-ranking men and women from
tech-industry leaders, such as Amazon, Lockheed Martin, IBM, and
Microsoft. Their primary intent for this
report was to make the concept of Big Data more manageable to the masses and
share best practices from the governments which have already benefited from
it. Doing this, they hope to “provide a
pragmatic road map for adoption.”
Big Data is still, for the most part, a big
unknown that thinkers are now just confidently theorizing on its
potential. There are some examples out
there of Big Data being utilized to better transportation. In an effort with IBM and the Chinese city of
Zhenjiang,
a new, smarter transportation system provides “near real-time vehicle
visualization, schedule analytics, and arrival prediction capabilities.” The University of California Irvine has
developed an ultra-high resolution, high performance, large format visualization
system called Hiperwall,
which is especially able to handle large amounts of data, like real-time
traffic patterns, with unprecedented flexibility. How can the federal government help similar and
future Big Data projects? To start,
Washington should create within itself an atmosphere of collaboration. The TechAmerica report states that
“decision-making in Congress and the Administration often is accomplished
without the benefit of key information and without using the power of Big
Data,” further suggesting, as one part of the solution, for each agency to
essentially create an official Big Data officer. This would create a common link among all
agencies which would not only encourage the sharing of procedures and hardware,
but also would streamline data connectivity that would give citizens and the
government itself a more integrated interface.
2004 Infographic |
Eric Schmidt, Google’s chief
executive, said in 2010 that the world creates 5 exabytes of data every two days, which
is roughly the same amount of information we created from the dawn of
civilization to 2003! Thus, continuous
investment in education and innovation, federally and locally, is crucial in keeping
pace with or even ahead of the technological curve. The federal government needs to create policy
that brings Big Data analytics into the mainstream and that provides a fertile
ground for innovation and professionalism that keeps America globally
competitive. One solution would be for
government to collaborate with universities to formally create a curriculum
track for data scientists focused on Big Data analytics. The TechAmerica report suggests that “intellectual
curiosity” should be encouraged so that analytic thinking, rather than
query-answer (transaction) thinking, becomes paramount in the tech world. Doing this along with incentives and
government internships would bring legitimacy to the field, which would put
more minds to work on Big Data’s massive potential.
Big Data For Medical Needs |
Continual
innovation will also need to be applied to personal privacy as Big Data is becoming
more and more accessible to transit agencies, retailers, and private
entrepreneurs. I believe that Big Data
will become a part of every American’s life whether they see Big Brother in it
or not, but it is nevertheless wise to have an iterative, cautious approach
when dealing with security and increased access. The TechAmerica report acknowledges over 40 privacy
laws exist in the US, including the Privacy Act of 1974 and legislation for health
and finance information, and it basically encourages the US to strengthen its
current trajectory. One suggestion was
to standardize the security procedures across the board which would build
citizens’ confidence in and simplify such a complex system.
The
good news is that the federal government has already started their research and
investment into the potential of Big Data.
A 2012
fact sheet from the White House lists 14 pages worth of different agencies’
Big Data projects. With the right policy
that enables local innovation through standardization, inter-agency collaboration,
investments in education and privacy enhancements; America can efficiently harness the potential
that Big Data promises.
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