Showing posts with label interdependency. Show all posts
Showing posts with label interdependency. Show all posts

Tuesday, November 16, 2021

The world of work: complex interdependencies

 

     Once upon a time, during a Google interview, I was asked to suggest a potential project in which I would be interested. As Google is so tightly involved with data, I proffered the idea of a world-of-work model. I talked about this issue in another blog about five years ago -- but, as no one has taken up the gauntlet, I will lay it out again. The needs (in my opinion) for such a model continue to become more important with the continued fast-approaching limits for control of climate change.

     Meteorologists have a number of models of weather patterns. These models include time-constrained ocean currents, geographical terrain, and many other factors of which I am personally ignorant. The models do not include (as far as I know) the flapping of a butterfly's wings (see my blog on chaos theory). Use, and refinement, of these models has continued to improve as computational power, and data storage and access, has grown. But there are so many factors and even an accurate model needs a lot of real-time data items (what is the temperature right now above a large parking lot in the middle of Chicago? Is a factory in Illinois currently increasing the humidity of an area by vapor elimination?) to come out with the best results. Not perfect, or even perhaps "good enough", they continue to improve.

     Think of a job -- any job. It will have needs and, presumably, other jobs will have dependencies upon it. Or think of a product -- any product.  Products are made from physical parts and other people, used by various people, and must return to the earth in as gentle of a fashion as possible. This interdependency is the way our economy works. Not the way it is explained, or theorized, but the way it all works together and puts products on the shelf and food on the table.

     What will happen if we change the economy from fossil fuel based to clean power based? What people will be affected? Where are they located? How can effects be minimized -- where should new factories be placed and people retrained to reduce the effect on the local economies?

     (Something that would have been nice to have existed.) What happens if people stop traveling and have to work from their homes? What are the critical needs that must be filled? What portions of the economy will suffer most and what areas will be needed so much more that there is a dire shortage of appropriate people and materials?

     Start with something very familiar to most of us -- a car. A car is made of many parts. Each part has to be manufactured and transported to the factory. The part will be created from various materials which must be manipulated by people and equipment. Materials must be either fabricated and/or mined and refined. All of these steps require energy -- for transportation/fabrication/mining. Each person involved in the factory, parts, transportation, or raw materials has a life which requires food, transportation, clothing, housing, medical needs, communication, entertainment.

     As you can see, the matrix of interdependencies grows exponentially. It is likely that such a model would have to be done via AI methodologies. I would not be surprised if the manufacture, and maintenance, of a single car would involve many thousands of people -- perhaps a million.

     A caveat of a model which includes various attributes such as salary is that one has to take into consideration whether an attribute is independent or interdependent. Most variables are interdependent. The cost of a part depends on current market conditions. An increase in salary will likely directly increase sales in other areas (the more there is to spend at the lower economic levels, the more that is spent). A numerical attribute in a person/part/material node of the model is more likely to be marked down as a formula -- similar to that used within spreadsheets.

     The more I examine the needs of a world-of-work model, or a real-world economic model, the more details and interdependencies I can think of. Does this mean it is impossible? I am of the continued firm belief that if a person can think of something it can eventually be done. That doesn't mean it would be easy.

     But would it be worth it? That, as often is the case, depends on the definition of "worth". I don't see how to marketize such a model but I can certainly see a lot of uses in a world that continually needs to change and a world that is continually changing -- whether or not people want it to. Climate change, pandemics, resource depletion, natural disasters (more and more often associated with climate change), any type of large scale change changes the world-of-work. Wouldn't it be nice to have some way to forecast what would happen with change? Even if it weren't completely accurate, it would give guidance.

     

Saturday, September 22, 2018

Crazy Rich Richard Cory

     People have always been fascinated by how the "rich" live their lives. From "Lifestyles of the Rich and Famous" to "Crazy Rich Asians" to "Sullivan's Travels" and more (look them up in IMDb or RottenTomatoes if you are not familiar with them), there is a huge appeal to the illusion of being able to peek into the lives of those who just don't seem to have a single financial care in their lives. Of course, there are many different levels of "rich" (and "poor", as discussed in others of my blogs).
     There is one stage of "rich" that has to choose between various excesses -- not enough for all things without consideration. Another yacht or that huge diamond? A private jet or another 6,000 square feet in the mansion? At this stage, the operative word is "or". They have a lot more money than they need, and even have to work at spending it all, but they still know how much things cost to make choices. Although they may not know what a gallon of milk costs, it is very likely that they know how much they are spending on groceries per month (but the total percentage may be insignificant).
     The penultimate stage is only a matter of "and" -- "or" is unnecessary. They don't know how much things cost because it doesn't matter. In a lot of cases, they don't even know how to pay for things because others do it for them; their activities, including purchases, just happen without their awareness of what happens in the background. This is particularly true for those from inherited wealth. These politicians, and other wealthy individuals, couples, and families are truly ignorant of the realities of life for the 98% of the population.
     So, they should be happy, shouldn't they? As Paul Simon said in his song, Richard Cory, written in 1965 and recorded in the album, Sounds of Silence, by Simon and Garfunkel, it isn't quite so straight-forward:

They say that Richard Cory owns one half of this whole town,
With political connections to spread his wealth around.
Born into society, a banker's only child,
He had everything a man could want: power, grace, and style.

.
.
.

He freely gave to charity, he had the common touch,
And they were grateful for his patronage and thanked him very much,
So my mind was filled with wonder when the evening headlines read:
"Richard Cory went home last night and put a bullet through his head."

     When an individual, or group, no longer has any survival needs to satisfy, they have to find, or create, anchors to reality. This can be seen by the situation of many famous artists who are catapulted into riches and fame and end up killing themselves via unregulated excesses. I cannot speak to the mind of Paul Simon about how he envisaged the person behind Richard Cory but it is apparent that Richard Cory did not have sufficient reasons to keep going.
      When the great imbalance in income inequality occurred prior to, and precipitated, the Great Depression, many suicides occurred because they did not know how to function as merely "rich" (losing 90% of $100 million still leaves $10 million).
     Some people create anchors that are not particularly healthy -- and which have the danger of being accomplished and no longer sufficient. This includes greater and greater accumulation (of wealth, property, power, ...) which never satisfies and is, at heart, an addiction -- treating the economic system as a game in which they want to come out as "winners" (and create the most "losers"). Sometimes it is internal political intrigue such as happened with the Medicis of Florence (now part of Italy). Many times an income overflow includes visible excesses.
     Healthier options attempt awareness of the lives, and needs, of the rest of the population. This may be anchored via religious, or spiritual, beliefs. It may be from an intellectual recognition of needs and realities. Or it may arise from a conscience which realizes that their fortunes are based solely on the efforts, and labors, of others.
     No matter the basis of the anchor, it is needed to redistribute the excess in order to stay healthy. Foundations, charities, donations, university chairs, inheritance taxes, properly progressive tax structures, and increasing employee wages and benefits to living wages are all part of the pool of methods to relieve the pressures that build up with income inequality and concentration.

Saturday, September 23, 2017

Economic Interconnectivity and Big Data


     The world economy is a huge set of interconnections. One type of job depends on other types of jobs; if a job type disappears it is likely to affect many other job positions. Scarcity of resources of one type can affect the prices of many cascading products. If the world does shift from fossil fuels to renewable energy sources, new jobs will appear and old ones will change or go away.
     The interconnectivity also causes great fragility as the world gets larger and there are more dependencies. Imagine, if you can, people waking up tomorrow and deciding that the Internet is no longer of interest (I can easily remember when it didn't exist) -- how many products would no longer have a market, how many people would no longer have a job, how would it affect others (advertising, for example -- and printed newspapers might surge back into dominance)?
     Once upon a time, I was interviewing with Google and, as part of the telephone interview, we discussed potential projects and interests. I put forth the idea that, since Google was well designed to integrate knowledge and had such massive data storage and access, they would be well able to create an economic model of interconnected occupations and salaries. At this point in time, I would like to also add in products and localized market prices.
     Why bother with any type of tool? Why not just make the change and see what happens? The main advantage of such a tool is to have a better ability to forecast the effects of policy changes. What really happens if minimum wage is increased to a living wage? What happens if the illegal immigrants who are largely responsible for hand harvesting of our fruits and vegetables are kept away -- what will be the effects on produce prices, truckers, grocery stores, and so forth? What jobs are affected if private transportation is minimized and public transportation maximized?
      Such a project would be impossible if every individual, unique job, discrete part, and location had to be tracked. Luckily, items can be aggregated -- 500 Blue F-150 trucks should only have a quantity value change over 1 Blue F-150 truck (but, at the same time, there needs to be a way of describing Red F-150 trucks without having a fully different item). There is a lot of work to be done and it would still be a difficult project but certainly within the capabilities of many of the larger data handling companies -- Google, Facebook, Amazon, IBM, Microsoft, ... What would be the Return On Investment (ROI) for such a project? It's really difficult to know but it would be a valuable service/project that should be of use to governments and businesses around the world.
     I would suggest architecting such  a project as an iterative accretion of data. Start with something relatively small -- a loaf of bread. The loaf of bread has a set of occupations associated with it -- baker, packers, delivery people, stockers, advertising, payroll, Human Resources, etc. It also has a set of ingredients -- flour, yeast, filtered water, possibly milk, salt, and so forth. Each ingredient has an amount which acts as a ratio of strength in the links to the bread. Each ingredient has its own delivery and production chain which each have associated costs and value. It would be considerable in itself but the greatest value would be the fact that it is still small enough to be thrown away. New links and new data structure values will be discovered to be needed as the database develops. Now do it over (iterate) with those better values and links. Do it again if needed. Now add butter to the bread and continue on.
     There are also usability concerns. The bread company may start off selling only white bread and then add rye bread -- each with their own percentage of sales. How does one substitute recipe ingredients? How do you change the dependencies and the ingredient ratios? What happens if a problem ruins the rye crop for the year? If modelling an auto, how easy is it to change the model from gasoline to electric? Not only is there a substitution of an "ingredient" but the interconnections to suppliers, dealers, raw materials (batteries, possibly lithium) change. The model must be able to be changed easily because modelling the existing situation may be interesting but comparisons are what gives the most value.
     How would you address such a problem? What do you see as specific practical benefits from such an economic model? Is there some subset of such a model already in existence that could be used as the core of expansion? How are unpaid people incorporated into the model, recognizing that the system falls apart without them -- even if they are not considered to be part of the Gross Domestic Product (GDP) or a paid occupation?
     While I find the project fascinating just from a theoretical basis, I keep finding more and more potential uses as I consider the matter.

Saturday, February 7, 2015

The Interconnectivity of Things : work


    A popular topic nowadays is the Internet of Things (IoT). This talks about tangible devices that are interconnected via the Internet. I might discuss that someday. However, IoT is really a subset of the interconnectivity of Things (InOT). And that interconnectivity applies at many levels. Today, in continuation of my recent blogs on economics, I thought I would talk about how work/jobs interconnect.

    One way to examine this is to put forth a possible change to the economy -- a shift from private transportation to public transportation (to save space later, let's call this "the Shift"). How would this affect the economy and how would it affect jobs and work?

    The first thing that can be done is to list the things that are associated with private transportation.

  1. Roads
  2. Parking Lots (including driveways and garages)
  3. Gasoline (assume have not migrated to electric cars)
  4. Consumable parts (tires, windshield fluid, batteries, etc.)
  5. Car distribution (including sales and transport)
  6. Car manufacturing
  7. Car repair
  8. Car maintenance (including washing, upgrades, and so forth)
  9. Car disposal

    I am certain that this is not an exhaustive list and, as we will see, each item can be broken down into many sub-items. The Shift is also not a truly radical shift as most things associated with private transportation also exist associated with public transportation. Thus, it is a shift for reduction rather than elimination and creation.

    Let's look at the first item on the list -- roads. First thing is that roads occupy space -- lots and lots of space. The Shift would not eliminate the need for roads but probably no roads would need to be more than 2 lanes (one each direction). In fact, many low usage roads could probably be a single lane with pull-over areas (similar to low-traffic roads in Europe). As a conservative estimate, let's say that, with the Shift, we could reclaim 80% of the land currently used for roads. (Skipping to item two, we can also probably reclaim 95% of the space needed for driveways and garages.) It also reduces the size needed for bridges and tunnels. What can this space be used for? Parks, farmland, recreation, pasture -- whatever space is presently used for.

    One website indicates about 18,000 square miles (about 0.6% of the land area) are used for roads in the US. That site argues that that isn't very much but I would note that there are 9 states in the US that are each less than 18,000 square miles and it would be the same square miles as Rhode Island, Delaware, Connecticut, and New Jersey combined. The Shift would reclaim about 15,000 square miles or a little more than the size of Maryland.

    Space was the first part of the first item. Roads also includes heavy construction equipment, labor (about 140,000 workers in the U.S.), concrete and asphalt manufacture and transportation, bridge and tunnel design, and so forth. Let's say that there are 200,000 jobs associated with roads and the Shift would eliminate the need for 50,000 of them. This means that 150,000 people in the US would need to find different jobs.

    And this is just the very first item associated with the Shift. Every item above involves jobs, land use, energy use, and so forth. As a conservative guess, the Shift would cause the need for a million people to find new jobs.

    So, yes -- many reasonable people would like to see the Shift, but resistance to the Shift is not just an automatic resistance to change. It is also based on the economic turmoil to families and economic infrastructure.

    Once upon a time, I suggested a tool that would make analysis of such changes as listed above much easier. In my next blog, I will go into more detail of the design of such.

    In the meantime, what effects do you see would come out of the Shift and would it be worth it?

Smoke Gets in Your Lungs (updated)

     This is an article that I published in here on February 22, 2013. I try to make my articles “timeless” as I try to work with “foundatio...