Not exact matches
By its stress on event and on patterning and integration, by its insistence that relationships constitute an entity, by its concern for an awareness of the depths of human experience (motivations, desires, drives, and «emotional intensity,» for example), as well as by its recognition that we are part of the world and continuous with what has gone before us and
even now surrounds and affects us, process thought not only has been
in agreement with the newer
scientific emphasis on «wholeness,» but has also contributed a perspective which can give that emphasis a meaningful setting and a
context in the structure of things
in a dynamic universe.
DiChristina: Right and something I didn't mention before Steve, but which I think is important to mention here is,
even in focusing on a single disease — and you're right, we don't typically do that, at
Scientific American, we don't want to do «disease of the month» per se, although certainly we don't mean belittle the importance of, you know, these various diseases
in people's lives, but at the broader
context as well.
I suppose
in the abstract this would be dull as doornails if not unhelpful, and so probably it's best to explain it with examples and
in the
context of climate modeling, but I wanted to describe it
in the abstract, just because I think what keeps a lot of people from appreciating climate science (or
even why it's hard to appreciate) has to do with very basic ideas about not just «the
scientific process» but with the narrower or perhaps more easily describable process of modeling.
Drs Leonard Smith and Nicholas Stern wrote poignantly about how policy is nearly always set
in the
context of uncertainty, and that
even incomplete
scientific assessments can be of great value («Uncertainty
in science and its role
in climate policy», http://www.lorentzcenter.nl/lc/web/2011/460/presentations/Smith.pdf).
In the context of scientific research, confirmation biases can sustain theories or research programs in the face of inadequate or even contradictory evidence.&raqu
In the
context of
scientific research, confirmation biases can sustain theories or research programs
in the face of inadequate or even contradictory evidence.&raqu
in the face of inadequate or
even contradictory evidence.»
I could imagine that
in the
context of
scientific research, modularity, re-use, etc is
even more important than
in general software development.
That is to say, decisions over the next two or three decades affecting this larger
context may influence the climate of 2100 and beyond
in ways that are at least as significant as the implications of
even the major current
scientific uncertainties, like climate sensitivity and long - term ice - sheet stability.
Even though it is not the main scope of our paper, we described the
scientific context of polar bear ecology and explained how and why polar bears depend on their sea ice habitat (summarized
in my previous blog post).
Uncertainties are mentioned or
even highlighted, but usually
in the
context of broader
scientific understandings and broadly consistent with the evolving science.»
Externalities may be addressed by either a tax / credit or some other public policy, public ownership and management of the commons, or privatization of the commons, or through court actions — each option may have it's own costs — for example, the large - scale privatization of the climate system may be impractical with given technology (analogy with toll roads), and
even without that, it has at least an aesthetic cost (nature is supposed to be nature; and psychologically, humans may benifit from some amount of public space) and perhaps
scientific (ie nature —
in this
context, nature as it is with relatively small impacts of humankind — is not nature if it is not being itself) costs; there may be inefficiencies
in the court system that could be bypassed for issues that are easily addressed with legislation (unless we had a class - action lawsuit on behalf of all people now until the year).