[melbourne-pug] mirror app [Was: Project time?]
miked at dewhirst.com.au
Sat Feb 6 06:25:02 CET 2010
On 5/02/2010 3:36pm, Irae Hueck Costa wrote:
> How about a little brainstorming and then we meet at some McDonalds?
> Here an idea:
> Feed the data into an artificial neural network (and make the found
> patterns usefull for the everyday use?).
Let's accept that the data sets currently available are less than great.
If we assume (invent) some good data then we can write a winning
We need to look past current datasets. If what we do is compelling
enough it will eventually force the proper collection of useful data
just so our application can reveal insights otherwise unattainable.
I had discussions in 2007 with the Vic government about exactly this
requirement. We agreed then that the objective should be to correlate
information so that it is possible for policy makers to adjust something
(a law, a tax, a handout, whatever) with a predicted outcome and for the
system to demonstrate success or failure down the track.
For example, let's say water consumption is particularly low in a
partularly crime-ridden area. A policy maker might ease watering
restrictions there with the expected outcome of greener gardens hoping
community morale might pick up and the crime rate may drop. BTW if it
worked it might have nothing to do with morale but rather the increase
in casual employment for young gardeners.
All of that is just ordinary. What we really need is the equivalent of
time-lapse photography and data collected in lots of (de-identified)
streams which are tied to geographic locations.
Patterns of information in the environment indicate trends in society.
We just need to see them in context to draw the correct insights.
Remember New York's zero tolerance of graffiti co-inciding with a drop
So, I think our competition entry should be an API for a data
visualisation app. Or a wrapper for an existing data visualisation tool.
I want to see "time-lapse" mountains and valleys flowing across the
screen so our policy makers can spot connections, freeze the frame,
drill down and ponder. A mirror on society.
We should be able to assume the existence of the NBN and widespread VPN
access to databases hither and yon. For the competition we can
manufacture whatever data we want for demonstration (actually testing)
> I dont think that this will give better results than other stochastic
> methods, but it sounds fancy.
> Here some shorter python specific introduction to neural networks:
> Maybe we should use some other way to communicate about this project so
> we don`t flood the email incomming box of people who are not interested.
> > From: r1chardj0n3s at gmail.com
> > Date: Thu, 4 Feb 2010 10:05:44 +1100
> > To: melbourne-pug at python.org
> > Subject: [melbourne-pug] Project time?
> > Hi all,
> > So this competition was just announced:
> > http://www.premier.vic.gov.au/component/content/article/9300.html
> > The short story being:
> > 1. take 50 datasets like
> > • Maps of local hospitals (http://www.health.vic.gov.au/maps/index.htm)
> > • Crime statistics (http://www.vicpolicenews.com.au/myplace.html)
> > • Water resources data (http://www.vicwaterdata.net/)
> > 2. crank up a Pinax website (allowing us to focus on point #3)
> > 3. present information from #1 in "interesting" ways
> > 4. profit!
> > So, who's interested?
> > Richard
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