29 June 2020

Loss of Creativity in Academics

People in field of academics are one of the most uncreative individuals. And, in general, people that are toppers at university and school end up being really bad with innovation. The more educated one gets the less one is willing to take risks to think outside the box. Hence, why most successful companies have been established by dropouts. In fact, someone with a Math degree is more than likely to need mentoring in how to think in the workplace as they have very minimum training in applied skills. In life, problems are not pre-defined. We need to discover issues, formulate our own problems, and find solutions all of which is derived from experiences which can't be found from just reading books and passing exams in a classroom. In many cases, the solutions are not typical that they can be derived from a crib sheet. Each problem in life tends to have its unique solution. Uncertainty is also a major contributing factor of life that adds to the variability. Math teaches one how to deal with definite real terms where potentially someone has already defined a problem and a theoretical formula. In life rarely ever anything is a definite surety. Math in many cases is flawed because everything is a theory, which can be proved or disproved by anyone at anytime. In many cases, this is seen as a typical issue in Banking, Scientific, and Economic disciplines because people invariably do not account for uncertainty and creativity when building systems, basing all their structures on theoretical understanding, not only does this make them less reasonable but also quantifiably inaccurate. Creativity is what drives innovation. Academic disciplines in many cases try to inhibit such creativity. In many respects, an artist or a musician is a perfect example of creative expression which seems to be lacking metaphorically in most theoretical disciplines that only want to work against set formulas. Not everything in life has an explainable and pre-defined mathematical formula. In fact, current theories do not fully provide a seemingly comprehensive understanding of the world we live in nor do they enable us to answer every notable question of nature. Complexity of the world we live in is almost understated in theory only so we as humans can understand it in simple terms. However, such simple terms of explainability lack the detail that we require to build replicable systems that can accurately reflect and take inspiration from nature.