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Her talk was particularly relevant to me because she emphasized how she is studying business students, not computerscience students her research is about how non-CS students interact with computing and programming. Most data science programs cover these topics, but most computerscience programs dont.
1 Mathematics and Physics Have the Same Foundations. 2 The Underlying Structure of Mathematics and Physics. 23 The Physicalized Laws of Mathematics. 29 Counting the Emes of Mathematics and Physics. 1 | Mathematics and Physics Have the Same Foundations. 3 The Metamodeling of Axiomatic Mathematics. Graphical Key.
Think of it as the entangled limit of everything that is computationally possible: the result of following all possible computational rules in all possible ways. It’s yet another surprising construct that’s arisen from our Physics Project. And it’s one that I think has extremely deep implications—both in science and beyond.
It is therefore vital that students see the benefits – for themselves and their societies – of learning national sciences such as biology, chemistry, and physics. As John Doerr, successful venture capitalist and early investor in Google, recently phrased it: “Sustainability is the next computerscience”.
However, the skills learnt from subjects such as mathematics and physics are everlasting and applicable to many different fields. I was fascinated by the physical processes that underlie information processing, so studied physics and computerscience initially. Most researchers love to talk about their work.
So for me it was obvious: if I couldn’t figure out things myself with math, I should use a computer. And so when it came to complexity, it was natural to try to do the same thing. Mathematical physics. Computation theory. The Emergence of a New Kind of Science. It had worked out very well for the language.
And for example the concept of “temperature” is there because exponential distributions familiar from statistical physics happen to be being used, but there’s no “physical” connection—at least so far as we know.) In this particular case, we can use known laws of physics to work it out.
As a result, a new discipline, known as research computing, has emerged to apply computers, not just software, to research including to help scientists capture images, construct models, which are turned into simulations, and analyse results. Research computing is a sub-discipline of computerscience.
It was an interesting resultthat gave new intuition about just how simple the foundations of things can be, and for example helped inspire my efforts to find a simple underlying theory of physics. But what about something more like a theory in naturalscience? But how did I get the result?
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