It’s data analysis, and not data dialysis!” The reason being that data analysis involves extraction of desired information from data, whereas dialysis involves removal of waste from data. When analysis is conducted incorrectly, one may end up with waste or meaningless information. Moreover, it is not just about removing unwanted information but making sense out of what the analyst is left with, which is nothing short of a challenge.
Caffeine is best known as a stimulant of the central nervous system in humans – in other words, it keeps us from falling asleep. One of the main methods by which it achieves that is by inhibiting the action of adenosine (by preventing it from bonding with its receptor). Adenosine is the chemical that induces feelings of drowsiness in humans. Existing literature has established that adenosine also plays a major role in the formation and motion of the slime mold aggregate. A natural question to ask, then, is whether caffeine could play a similar inhibitory role in slime molds – and this is precisely the question that Dr Baskar’s work answers.
“Do you see a lot of physics words here? That’s because there is a lot of physics involved, and the study of social physics brings together the two exciting fields of social media study and statistical mechanics. However, as with all theories and models involving human decision-making, this too is a slave to the sometimes arbitrary sensibility of people’s everyday decisions. A human may choose to drink Pepsi today and not Coca-Cola; there is no way this seemingly random and whimsical choice can be modeled by logical rules.”