Cross-disciplinary research has been
a key component certainly in environmental science (my undergraduate major of
study) long before it became popular. This is especially true after sustainable
development was put on the international map after the 1992 Rio Summit. When it
comes to agricultural engineering, the term cross-disciplinary becomes more
unclear. In fact, the most useful sources I found for this exercise come from
computer engineering, which is still related to my research independent study
this summer.
As agricultural engineering hones
on sustainability (not only in development but in educational outreach), it is by
default involved with other fields. Watcher notes that it is basically
impossible to educate on sustainability utilizing a single discipline (48). Outreach
programs through extension services seem to be a staple at every major
university. Yet, it is not as though agricultural engineers and agronomists are
always contracting out services to sociologists and anthropologists. Rather,
they are applying their problem-solving, scientific methods to approach
outreach from an engineering perspective, combined with the notion that
universal skills such as public speaking and group presentations were taught in
general education. Additionally, the myth that engineers cannot write or speak
well is losing stigma as we become more and more visible in this information
age.
In short agricultural engineering
has certainly become more holistic, but cross-disciplinary would be a stretch
to describe agricultural engineering. At best, it’s a gray area when working
with consumer and food sciences. Collaboration here is very important for a
variety of reasons, including informed consumer safety. Moving towards
including more disciplines is important in an age of unprecedented information and
communication.
I would hypothesize the
limitations of any cross-disciplinary research in agricultural engineering stem
from what was discussed in the Week 2 readings. Specifically, I am not aware of
agricultural engineers who collaborate on grants extensively outside of their
own field; yet engineering itself applies the pure sciences and mathematics. Mehanjiev,
Brereton and Hosking note that ideas in engineering are transferable (1). This
seems more practical than the methodical conversations described in Week 2
readings.
The economics of cross-disciplinary
research is that there appears a growing interest (demand) for the concept, but
it can and does take time, especially in academia. I would say that my research
family is able to work effectively and we do often go line by line on important
parts of the documents we write. But because we don’t always agree and
sometimes have to communicate the same ideas in different ways so everyone can
understand and I can see how this can keep people from other duties when time
and efficiency are valuable commodities.
These challenges can transition into
the political realm by creating red tape, so any cross-disciplinary project
should be weighed out carefully. I can say that in the natural sciences,
understanding incentives is a key role in making policy judgments. If a life
cycle analysis or other holistic means are used to develop a project and find
an outcome, then I would find difficulty in focusing on just one field. Yet, if
one examines life cycle analyses, this procedure has its own set of ISO
standards that do not call for specific collaboration of fields.
The social implications for
cross-disciplinary research could yield a much better understanding of social
dynamics and human culture. Agricultural engineers, for instance, could apply a
scientific approach to solving problems that social or natural scientists may
not have been exposed to or simply do not use. It’s even possible that
cross-disciplinary education programs can be developed beyond the general
education for students to develop more intangible skills. Such skills are
frequently cited on resumes and CVs. Ivory noted that you need to be able to explain
research if it’s on a CV, but this also applies to skills. I also think that it
could help the social sciences in the long term because collaboration could bring
in a variety of uncertainty analyses, which are a staple for engineers.
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Sources:
Mehanjiev, Nikolay, Brereton Pearl, and Hosking John .
"Second International Workshop on Interdisciplinary Software Engineering
Research (WISER’06).". New York, NY: Association for Computing Machinery,
2006. 1-3. Print. <http://dl.acm.org/citation.cfm?id=1137662>.
Wachter, Christine. "Interdisciplinary Teaching and
Learning for Diverse and Sustainable Engineering Education." GIEE 2011:
Gender and Interdisciplinary Education for Engineers. Ed. Andre Beraud,
Anne-Sophie Godfroy and John Michel. Paris, France: Sense Publications, 2011.
48. Print. <http://link.springer.com/chapter/10.1007/978-94-6091-982-4_5>.
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