Specialization advanced science, but also fragmented our understanding of complex scientific problems.

AI may become part of extended cognitive system, changing how we learn.

Future scientists need breadth alongside depth to recognize meaningful cross-disciplinary connections.

When I was a student, our professors often told us that human life is not long enough to master the enormous amount of knowledge produced by science. Their advice was simple: choose one subject, go deep into it, and try to understand it as well as possible. This advice was completely reasonable. As scientific knowledge expanded, it became impossible for one person to know everything. Biology became divided into molecular biology, genetics, biochemistry, physiology, neuroscience, immunology, microbiology, and many other fields. The same happened in almost every area of science.

Specialization Both Advanced and Fragmented Science

Specialization gave us enormous scientific progress. But it also created another problem: We became very good at understanding pieces of reality while becoming less capable of seeing the whole.

It is like "The Elephant in the Dark." Several people examine an elephant in darkness. Each person touches a different part of the elephant and describes it. The problem is not that any of them is wrong; rather, each person may believe that the part they have experienced represents the whole animal. Something similar may have happened to modern science.

A scientist may spend twenty years studying one molecular pathway, one receptor, one microorganism, one brain region, or a particular gene. The knowledge can be deep and completely correct. However, many important problems in biology and medicine are not limited to a single pathway, organ, or discipline.

Aging, cancer, obesity, diabetes, consciousness, and human behavior are examples of complex systems in which multiple levels of biological processes and environmental factors........

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