The Pot of Ideas
I have learnt through my experience that if I need to find new ideas it is best to explore fields of knowledge that I am not familiar with. Familiarity breeds familiarity. This is one great thing about beBee is the possibility to read buzzes that are shared in hives that I have no expertise in.
The “pot of idea” is like the pot of a plant that allows a plant to grow in proportion to the pot capacity. If the pot has low capacity the plant shall face limited growth. Moreover, as plants need micronutrients to grow in their pot so ideas need to. The foreign hives with limited membership could be your source for the micronutrients to help the seed of ideas in their pot to grow healthily. Limiting yourself to few hives can increase your familiarity and drain you of the “micro ideas” that could be your source for great post ideas.
Chaotic thoughts may lead to chaotic knowledge. It is the ability to find order among this chaos that generates the greatest ideas.
The weather of science and knowledge is indifferent from the weather forecast. Because of the complexity of the weather and the feedback among its agent components weather shows complexity and chaos that make affirmed predictability almost impossible. It is also the complexity that shows the butterfly effect in which small changes may induce great effects.
The complexity of science results because of the network of sciences and how they feedback to each other. A small scientific idea may have greater impact. Sciences feedback to each other. The weather itself is the proof. The weather complexity resulted in transferring its concept to social sciences, finance and psychology, to give few examples. In management we look for small motivators that may yield great effects.
The more we discover, the more we establish networks and the more complexity arises. No wonder we find many emerging sub- networks such as protein networks. By the same token we shall find that hives on beBee form networks and subnetworks. The more we contribute, the newer hives shall be established and the more complexity shall emerge. This shows that knowledge is fractal, the more we peer in what we know, the newer facts shall emerge.
By sticking to the familiar we alienate ourselves from new findings. We should accept the disorder of knowing more so that we may find a new order. History has shown us that we would rather stick to what we know because we are familiar with it. The first paper on the weather butterfly effect was rejected. The first paper on polymers was rejected by eminent scientists. Instead of seeing the new possibilities as micronutrients we discard them to find later that these micro-ideas proved to be the greatest initiator of many new fields of knowledge.
We remain rooted to what we know and discard new roots that could be the source for new
Why I started Writing for beBee?
Not All that Glitters Is Honey
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