Connected by Climate
In
A Vast Machine: Computer Models, Climate
Data, and the Politics of Global Warming1,
Paul Edwards tackles the topic of global knowledge using the climate as his
example. He begins by using the common phrase, “think globally, act locally”
(Edwards 1). By this, Edwards means that our local actions impact the world and
what’s happening around the world impacts us locally, in other words we are an
“interconnected whole” (1). To
provide an example, Edward uses climate to address the complex task of identifying
and sharing knowledge. It is fitting that he chooses “climate” to talk about
people being connected since, according to the Oxford Dictionary Online1, climate’s suffix “mate” can be defined as a as a noun that means, “a fellow member or joint occupant of a
specified thing” and as a verb that
means, “connect or be connected
mechanically.” Furthermore, as
Edwards says toward the end of the first chapter, the weather data network “is
arguably the oldest of all systems for producing globalist information” (Edwards
24). Climate is a great example to use because its suffix not only means
connection, but the study of it is one of the first world-wide attempts to form
unified knowledge.
As
Edwards discusses, knowledge formation does not begin with communicating
information. Knowledge begins with assembling data, which includes knowing how
to identify data and also having tools to accurately capture and assess that
data. In the case of climate, each country uses different measurements, the
tools they use change over time, and even where the data is connected changes.
All this results in differences from data collected 150 years ago and even data
collected 20 years ago (6). This
is where the concept of a “vast machine” is introduced. A vast machine is “a
sociotechnical system that collects data, models physical processes, tests
theories, and ultimately generates a widely shared understanding” (8). Data and observations must be
transformed into widely accepted knowledge which includes the political
process, transmission of information via the media, and even an understanding
of what counts as data.
Since
we’ve mentioned that data varies, it is important to have “reanalysis,” which
is a technique that helps standardize data previously collected, even when
collected at different times by different methods. There is also the concept of
“gateways” which “can join previously incompatible systems” (10). In the case
of climate, this allows weather systems to interact with the ocean monitoring
systems, seismographs, and more. “Knowledge
infrastructures comprise robust networks of people, artifacts, and institutions
that generate, share, and maintain specific knowledge about the human and
natural worlds” (17). These
knowledge infrastructures are sociotechnical because people don’t just add
facts. They must assimilate the facts they have, which is akin to the basics of
scientific knowledge. To do so, the information presented must be consistent
with other things people know. Plus, the new information must be accepted
within a community and the person providing the information must have trust and
authority. Scientific knowledge is therefore communicated through many
infrastructures and institutions including universities, libraries, and
laboratories. “The infrastructure
is a production, communication, storage and maintenance web with both social
and technical dimensions” (18). Infrastructures are largely invisible until
they no longer work. For instance, one may not pay attention to the
infrastructure of roads, highways, and traffic lights until the traffic lights
don’t work and as a result, traffic no longer flows smoothly and the number of
accidents increase.
Globalist
information occurs when the knowledge transcends into a political contect and
nations begin working together to create change. “It may be driven by believes
about what knowledge can offer to science or society” (25) and creates a
world-wide infrastructure of knowledge formation and transmission. With
countless examples related to climate, capturing and analyzing climate data,
and organizations that study climate, A
Vast Machine explains how knowledge is formed and how it is then
communicated, not just locally, but globally, influencing people everywhere.
2Oxford
Dictionary. Oxford University Press. Accessed at
http://www.oxforddictionaries.com/definition/english/mate
1Edwards,
Paul. A Vast Machine: Computer Models,
Climate Data, and the Politics of Global Warming. MIT Press: 2010.
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