Math Matters

Mathematics powers our modern world. From optimizing crop yields, to designing sustainable products, to launching spacecrafts, mathematics improves our lives and makes us safer, more efficient and more innovative. Maplesoft's mission is to provide powerful technology to make math easier to learn, understand, and use. In this presentation, Dr. Bernardin will discuss future directions of Maple and Maple-based technologies that will support that mission, helping students, researchers, engineers and scientists take advantage of the power of math to enrich the world we live in.

Your data is telling you to ask better questions. Do it!

"Correlation is not causation" - or so the old trope goes. However, when you know all of the correlations in a set of data, their shape, and their relation to one another, then the story is quite different. I will demonstrate how - using cancer data - an analysis can quickly move from finding correlations, to revealing possible causation.

The tool that makes this possible is Dynamic Quantum Clustering (DQC), originally developed using Maple. I will - at the outset - give a brief explanation of how and why a density map reveals all of the correlations in a set of data; what I mean by the shape of the revealed correlations; and finally, what I mean by the relationship of these correlations to one another. Then, I will show how the density map forces us to ask more and better questions of the data until a potential causal pattern reveals itself.