Social Analysis and Modeling for Python

Kent ktenney at gmail.com
Wed Oct 6 14:24:19 CEST 2004


This stuff is way over my head, but reminds me of a simple
minded impression I have of extending the concepts of GIS
to other domains.

I see great potential in working towards the ability to
map economic data, and the flow of money, power,
opportunity and influence.

Grand sounding indeed, but it starts with an architecture to
model the concepts, then populating with data. You guys are
smart, you'll figure how to extract the knowledge, eventually
the wisdom, from the data which you are turning into information.
(see http://www.systems-thinking.org/dikw/dikw.htm)

Thanks,
Kent

Bishara Gabriel <bgabriel at cloudthunder.com> wrote in message news:<mailman.4187.1096659780.5135.python-list at python.org>...
> Cameron Laird wrote:
> 
> >In article <2s2q4uF1fcanvU1 at uni-berlin.de>, val <val at vtek.com> wrote:
> >			.
> >			.
> >			.
> >  
> >
> >>well, 'If this were my proposal, I'd aim for the far more powerful,'
> >>"In addition to conventional wisdom, Python may be considered as
> >>a unique *science tool* providing an opportunity (1) *to build models
> >>programmatically* - using online experimental data, data-driven
> >>techniques, and databases integrated with the models, (2) to keep
> >>the models in a dynamic format available for online analysis,
> >>testing, and updating.  Such online science/reasoning tools may as well be a
> >>unique
> >>communication vehicle among scientists speeding up drastically
> >>understanding complex/data-intensive phenomena such as genome dynamics,
> >>social processes, terror networks, industrial dynamics, etc."
> >>
> >>
> >>
> >>    
> >>
> >
> >Hear, hear!  Well-done.
> >  
> >
> As I said, an excellent suggestion indeed.  Unfortunately, we already 
> have enough on our plate (as you pointed out) considering the time frame 
> and resources allowed to us.  If we had instead applied for a NSF grant 
> (three years, large budget) then we would have no problem with asserting 
> our ability to utilize *online*-experimental data, to keep the models in 
> a dynamic format available for *online* analysis, and so forth.  Our 
> limited time and resources will narrow our capabilities in this respect.
> 
> If we had a larger team of regular contributors, this might be more 
> plausible.  
> 
> Thank you for your feedback.
> 
> Sincerely,
> Bishara Gabriel



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