Demographics:
-population of real world
-population of interest in the real world
-population of our virtual world
-population of interest in our virtual world

eg: taking data about median age and ratio female/male
then if our virtual median age is low (20s)
and our real world median age is medium (30s)
could we exclude the data from the younger pool in our virtual world?
or is their very existence inside it tainting our collected data? eg, they are part of the engine and interact with the older pool.

-cultural differences (virtual access? global? local?)

-asking upon sign up? (age, sex, location, income, level of study)
>to database?
>to segregate on a isolated server? (eg a server for only people living in Aus)
>>this could lower the representation of the pool due to population shortage
>>it could also raise the relavence of our pool to our interest group.

Incentive for playing?

Privacy of participants?
>Ethics
>Protection of information
>pooling information (safety in numbers)
>asking for ranged information
>>age: 1,2,3,4.....18,19,20,21...
>>age: 10-13,14-17,18-21,22-25,26-29.
>rigorness of information?
>>incentive to provide truthful information?
>>susceptability to misleading? hacking? exploiting?

Gameplay and care for Population
>sustainability
>managability
>growth
>regrowth
>oldgrowth

Evolution method
>pretty ambitious, similar to the walking simulation created from algorithms
>mainly to

Graphs
>comparison
>voice recognition? for comparing waves and trends

Macro vs Micro
>taking managable parts:
>>1: micro business model, small business, small sector of economy
>>>property
>>>stock exchange
>>>retail, restaurant
>>>communication service
>>2: macro economy model that omits details
>>>GDP
>>>reserve bank interest rate
>>>largest 10 companies/organisations (eg dow)
>>>unemployment rate (human scale)
>>>government benefits, pension, dole
>>>petrol prices