Our new data mining and modelling paper is out today, “Word Diffusion in Climate Science“. Investigating the diffusion of climate science words in the Google ngrams dataset. We make observation that there is often a disjoint between the findings of science and the impact it has in the public domain. This existence of a disjoint is particularly significant when it is important the science reaches the public. Our hypothesis is that important keywords used in the climate science discourse follow “boom and bust” fashion cycles in public usage. If these cycles are linked to the science leaving the public eye then perhaps scientist need to think about they can do to ensure important findings reach as many people as possible.
I apply complexity theory and complex networks analysis to the operations of organisations and groups of organisations. Also interested in the role of technology including, AI, machine learning, blockchain, and other analytical methods.
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