Socio-Economic Modeling and Behavioral Simulations

SimulationsIn his Foundation series of books, Isaac Asimov imagined a science, which he termed psycho-history, that combined elements of psychology, history, economics, and statistics to predict the behaviors of large population over time under a given set of socio-economic conditions. It’s an intriguing idea. And I have no doubt much, much more difficult to do than it sounds, and it doesn’t sound particularly easy to begin with.

Behavioral modeling is currently being used in many of the science and engineering disciplines. Finite element analysis  (FEA), for example, is used to model electromagnetic effects, thermal effects and structural behaviors under varying conditions. The ‘elements’ in FEA are simply building blocks, maybe a tiny cube of aluminum, that are given properties like stiffness, coefficient of thermal expansion, thermal resistivity, electrical resistivity, flexural modulus, tensile strength, mass, etc. Then objects are constructed from these blocks and, under stimulus, they take on macro-scale behaviors as a function of their micro-scale properties.  There are a couple of key ideas to keep in mind here, however. The first is that inanimate objects do not exercise free will. The second is that the equations used to derive effects are based on first principles, which is to say basic laws of physics, which are tested and well understood. A similar approach is used for computational fluid dynamics (CFD), which is used to model the atmosphere for weather prediction, the flow of water over a surface for dam design, or the flow of air over an aircraft model.  The power of these models lies in the ability of the user to vary both the model and the input stimulus parameters and then observe the effects. That’s assuming you’ve built your model correctly. That’s the crux of it, isn’t it?

I was listening to a lecture on the work of a Swiss team of astrophysicists the other day called the  Quantum Origins of Space and Time. They made an interesting prediction based on the modeling they’ve done of the structure of spacetime. In a result sure to disappoint science fiction fans everywhere, they predict that wormholes do not exist. The reason for the prediction is simply that when they allow them to exist at the quantum level, they cannot get a large scale universe to form over time. When they are disallowed, the same models create De Sitter universes like the one we have.

It occurred to me that it would be interesting to have the tools to run models with societies. Given the state of a society X, what is the economic effect of tax policy Y. More to the point, what is cumulative effect of birth rate A, distribution of education levels B, distribution of personal debt C, distribution of state tax rates D, federal debt D, total cost to small business types 1-100 in tax and regulations, etc.  This would allow us to test the effects of our current structure of tax, regulation, education and other policies. Setting up the model would be a gargantuan task. You would need to dedicate the resources of an institute level organization with expertise across a wide range of disciplines. Were we to succeed in building even a basic functioning model, its usefulness would be beyond estimation to the larger society.

It’s axiomatic that anything powerful can and will be weaponized. It is also completely predictable  that the politically powerful would see this as a tool for achieving their agenda. Simply imagine the software and data sets under the control of a partisan governing body. How might they bias the data to skew the output to a desired state? How might they bias the underlying code? Might an enemy state hack the system  with the goal to have you adopt  damaging policies, doing the work of social destruction  at no  expense or risk to them?

Is this achievable? I think yes. All or most of the building blocks exist: computational tools, data, statistical mathematics and economic models. We are in the state we were in with regard to computers in the 1960s, before microprocessors. All the building blocks existed as separate entities, but they had not been integrated in a single working unit at the chip level. What’s needed is the vision, funding and expertise to put it all together. This might be a good project for DARPA.

“Britain’s political class risks losing the authority to govern”

From an astute commentary by Robert Salisbury, former Leader of the House of Lords. Almost all of the essay applies as well to the USA and other western countries.

Our own country is caught by all this, as it was in the first half of the 19th Century and in the middle decades of the 20th. We were able to adapt to survive: in the 19th by extending the franchise and in the 20th by expanding public services and mass prosperity. As a result British governments regained the authority to govern. They did so by reforming the institutions of representative government the country already had, thereby responding to the demands of an electorate emboldened and liberated by technological change.
 
Today, governments are once again losing the authority to govern, and for similar reasons. Another major financial crisis might lose them it completely; but a new crisis might not even be needed. Whitehall’s failure to control immigration, its puny efforts to tackle the housing question, the feebleness of our defences, the incompetence of our transport and energy policies might, whether jointly or severally, tip us over.
 
In the past, the country has been sustained in times of crisis by a solid body of electors who felt they had an interest in the existing structures which kept them, on the whole, safe and relatively prosperous. That body’s support is no longer so solid. The IT revolution is largely responsible. The speed of communications make governments and Parliamentary procedures look flat-footed. Increasingly the public is at least as well-informed as the Whitehall departments who are telling them what to do. It is virtually impossible to keep anything secret and anyone who betrays a confidence is regarded as heroic. The more rules we have, the more the public feels they are used as a means of flouting their spirit.
 
Worst of all, social media stimulate one issue politics and make the simple solution credible. You and I know that competent administration is boring and usually demands compromises. We also know that effective legislation needs careful preparation, much internal and external debate, a mind-numbing command of detail and a lively warning mechanism against the law of unintended consequences. The same applies to parliamentary scrutiny.
 
Any sensible electorate would be only too pleased to delegate this necessary day-to-day grunt to a Whitehall and Westminster it trusted and, although interested and argumentative, get on with the rest of its life.
 
Sadly, that is not where we are.

The candidacies of Trump and Sanders are in large part responses to public concerns about the problems Salisbury describes. They are inadequate responses, likely to fail politically and on their own terms and eventually to be superseded by other responses. The pot will continue to boil at greater or lesser intensity depending on who gets elected and what follows. It seems unlikely that the underlying problems will begin to be solved unless the voters develop a realistic understanding of what needs to be done, and start electing politicians who are both willing and competent to do it. It may be a while.

What I don’t know about White House Press Briefings, but would like to

I’m currently doing background work on creating an oversight site for the White House press briefings. It’s an interesting, small project with the potential for outsized visibility because of who it is aimed at and will be covering. But there’s a good bit of research that needs to be answered before a site goes up:

1. I don’t know what all the stakeholders in the White House Press Briefing consider to be a successful press conference.
2. I don’t know who asks good questions.
3. I don’t know what constitutes a good question, or a good answer.
4. I don’t know how to get a day pass.
5. I don’t know how to get a hard pass.
6. I don’t know who shows up.
7. I don’t know how question opportunities are distributed.
8. I don’t know how it all matters to the task of informing the public.

If you’ve got insight into these questions or additions I should put on my research agenda, please let me know in comments.

Update:
Just found this

Poukisa Mwen Te Ale An Ayiti

After 240 years of relative quiescence, at 4:53 PM local time on Tuesday 12 January 2010 the Enriquillo fault system ruptured near 18 °27′ N, 72 °32′ W in an M 7.0 earthquake, followed by numerous aftershocks, mostly westward of the mainshock hypocenter. Institutional functionality, or the lack thereof, in Haiti prior to the earthquake was such that there was no local seismometer network in place, so nuances of slip in the 2010 earthquake involving several associated faults have had to be inferred from kinematic models.
The Enriquillo fault itself forms the boundary between the Gonâve Microplate and the Caribbean Plate, but seismic activity along it is driven by collision with, and subduction of, the North American Plate. The entire fault system may have begun a new cycle of large earthquakes similar to those of the 18th century, in which case there will be several more such events with significant effects in Haiti and the Dominican Republic through, very roughly, 2080.
Around half the entire US population donated money for Haitian earthquake relief in 2010. I may not have been among them, but as initially recounted in this forum in April of 2011, I was drawn into restoration work in a computer lab and fixed-wireless network in Petit-Goâve, and have subsequently assisted in similar efforts in Musac (Mizak), La Vallée-de-Jacmel. Paging through the visa section of my passport, I now find an astonishing number of red ENTRÉE and blue SORTIE stamps from the Ministere de l’Interieur et des Collectivites Territoriales / Direction de l’Immigration. My God, I’ve been down there 16 times. What was I thinking?
Something like this …

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“50% of Canadians Live South of The Red Line”

From the fascinating site Brilliant Maps.

(Via Lex.)