By Mikayla
Kifer
Should
science be useful? There is no clear answer to this question. Robert Lackey in
2007 expressed concern that scientists have been slipping to the point of
allowing their personal political goals to influence their work. He believes
that scientists should refrain from using words like “healthy,” “degraded,” or “poor,” to
describe aspects of the natural world. Science, after all, is meant to be
descriptive (making statements about what things “are”), rather than normative
(making statements about how things “should” be). Making normative claims about
the world risks both the integrity of science and the privilege of having
scientific knowledge respected and taken seriously. In essence, Lackey argues
that we should leave science to the scientists and decision-making to the
politicians—it’s their job, after all.
In many
ways, I agree with Lackey. Science is meant to be the pursuit of truth,
untainted by human preference and bias. If we can’t trust scientists to represent the truth accurately, then
who can we trust? But, as always, reality is not so simple. Lackey’s system
makes sense provided that a strong infrastructure exists for translating
unbiased scientific findings into policy and action. After scientists publish
studies, their work should be taken up by an army of philosophers, economists,
and anthropologists to determine how it can and should be applied to
policy-making decisions. Then politicians should educate themselves and decide
how to implement this new knowledge. In this system, scientists can happily be
scientists and know that their work will be considered and applied as
appropriate.
Unfortunately, no such infrastructure exists. As it stands,
scientists have to be their own advocates and it is a constant struggle to get
most politicians (at least in the United States) to take any science seriously.
So it makes sense that scientists sometimes use a few normative phrases to get
their point across.
Clearly
this system isn’t
sustainable. These are the times when we most need scientific knowledge
translated into action. Many scientists do their work because it’s interesting
to study the natural world. But most also care about preserving the amazing
nature around them. Despite this goal, although vast amounts of scientific
knowledge are generated that can mollify and repair human influence on the
natural world, so much of it never makes it beyond the journal pages and literature
cited sections. This is work that matters, but, though desperately needed, it
is rarely applied.
For
instance, we recently had a lecture about habitat fragmentation and learned
that planting live fences (where tree limbs that are planted as fence posts
eventually grow into trees) can reduce the effects of habitat fragmentation by
acting as habitat corridors for some species. Amazing! What a breakthrough! But
what will come of it? Some educational efforts undertaken by organizations like
the Las Cruces Biological Station can encourage farmers to plant live fences if
they need to clear pasturelands. But with thousands of papers being published
annually, educational organizations can’t
keep up, and governments rarely try to.
The bottom
line is that we need people who can translate scientific findings into reality.
It is unfair to burden scientists further by asking them to produce their work and
aggressively advocate for it. There aren’t
enough hours in the day for that. We need people to fulfill the hopes of
researchers by bringing their work into the world and putting it to use. Before
students commit to saving the world as scientists, they must consider whether
their work will actually make the world a better place. The cold reality right
now is that the knowledge is there, but it’s not being adequately utilized.
When more people realize this, I hope that we will build up and strengthen
those institutions that allow scientific intentions to become reality. Once we
can really start translating science into action, we have a chance of reducing
the effects of climate change and other forms of human destruction of our
world.
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