These are just thoughts that occur to me, a person who has no knowledge about the current realities of the engineering and data collection within the airline industry, but a person who recognize the value of comprehensive data collection, storage, and retrieval from actual operation of advanced designed systems, especially those designs that rely heavily on computer automation and simulation.
We should study observations separately from derivations from theories. The deliberately ignorant takes the position that data is superior to science. There is a valid place for the deliberately ignorant when included in teams with domain experts representing each of the relevant scientific disciplines. In order to work, the deliberately ignorant needs to be skilled at his craft of being ignorant in the right way to propel the team towards a new solution without annoying everyone to the point of being expelled.
Over the four decades of my adult life there has been a recurring theme in my education and profession and that theme is that the world works on fundamental principles and atomic units. In college, I recall the confidence that we can understand everything from quantum mechanics if only we had the computing power to…
This is just a possible scenario of a synergy between humans and automation technology. We need technology for its mastery of the time-domain. Technology depends on us for survival due to our biologic advantages of solving problems in time-volume or in a frequency domain.
The primary advantage of western civilization is its celebration of the concept of philosophy set down by Plato. This concept is that we expose our internally acquired wisdom to our peers who have developed different wisdom while being equally able to participate in society. The love of wisdom of philosophy refers to a form of love that puts that wisdom on display for others to absorb, and this inherently presents a conflict between different models of wisdom. Machine learning automates the acquisition of privately-held wisdom. The next challenge is artificial philosophy to expose that internal wisdom for public dialog.
Dedomenology has a saturation aspect, requiring very long periods of work stretching over many days regardless of the concepts of standard working hours such as a 40 hour workweek. When something needs to be tackled, it will employ the dedomenologist continuously until there is some level of completion. There will be an endless stream of assignments that someone will need to dive into the depths of the data ocean and staying there for a long time until the assignment is over.
Consider the case of a big-data store the was able to store all of the individual answers keyed with sequence numbers, time stamps, and specific individual identification. I don’t think anyone would voluntarily discard that data in exchange with anonymized data consisting of just a few categories. The value of data reduction into categories is for people who don’t have access to big data. Those people are the consumers who wish to have an external assessment of what kind of person they are, allowing them a shortcut to introducing themselves, similar to the 1960’s approaching of introducing oneself as a zodiacal sign.