Scientists like DeDeo and Vespignani make good use of this piecemeal approach to big data analysis, but Yale University mathematician Ronald Coifman says that what is really needed is the big data equivalent of a Newtonian revolution, on par with the 17th century invention of calculus, which he believes is already underway. It is not sufficient, he argues, to simply collect and store massive amounts of data; they must be intelligently curated, and that requires a global framework.

via Scientific Data Has Become So Complex, We Have to Invent New Math to Deal With It – Wired Science.

Among the most notable insights Euler gleaned from the puzzle was that the exact positions of the bridges were irrelevant to the solution; all that mattered was the number of bridges and how they were connected. Mathematicians now recognize in this the seeds of the modern field of topology.