NICTA Talk on Minsky

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I was invit­ed to give a talk at NICTA, Aus­trali­a’s main cen­tre for fos­ter­ing research and devel­op­ment in the infor­ma­tion, com­put­er and telecom­mu­ni­ca­tions indus­tries, on Min­sky. I am hop­ing that they will adopt Min­sky as a research project–both in terms of fund­ing and assist­ing its devel­op­ment. Click here for the Pow­er­point slides.

My talk to about 60 NICTA researchers con­cerns the Min­sky project, from its gen­e­sis in my mod­el­ing of Min­sky’s Finan­cial Insta­bil­i­ty Hypoth­e­sis to my Kick­starter cam­paign to raise devel­op­ment funds.

Fund­ing for Minksy has reached $58,000, but is grow­ing very slow­ly. While this exceeds our min­i­mum tar­get, we can do so much more–see our “stretch goals” below. There are 11 days to go in which you can still help us fund Min­sky’s fur­ther devel­op­ment. Please hop over to Kick­starter now and make a pledge.

Stretch Goals:

$100,000

About 1400 hours of total pro­gram­ming time will enable Rus­sell to com­plete the “Mun” release, which will focus on improv­ing the graph­ics and pre­sen­ta­tion aspects of the pro­gram.

Nathan will also be able to devel­op a ver­sion of Min­sky for iPad and Android Tablets.

$250,000

With twice as much as the orig­i­nal INET Grant, we should be able to com­plete stage 2 of Minsky—the “Ques­nay” release named in hon­or of the per­son I regard as the world’s first dynam­ic econ­o­mist, Fran­cois Quesnay—in which the plat­form could sup­port the con­struc­tion of mul­ti-bank mod­el of the finan­cial sec­tor, and mul­ti-com­mod­i­ty mod­el of pro­duc­tion.

$500,000

We will add an OLAP back-end for stor­age & analy­sis of eco­nom­ic data and mod­el cal­i­bra­tion. As with Min­sky itself, this data engine will use a nov­el visu­al metaphor to dis­play and ana­lyze mul­ti-dimen­sion­al data.

With $1,000,000 or more

This is my dream goal. With $1 mil­lion, I can hire Rus­sell, Nathan for 3 years full-time. That will enable us to take Min­sky all the way to stage 3—where it can mod­el mul­ti­ple coun­tries, mul­ti­ple banks, and finan­cial and phys­i­cal flows for mul­ti­ple com­modi­ties, and where it can per­form non­lin­ear para­me­ter opti­miza­tion to fit mod­els to data.