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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.
Culture and biology “For thousands of years, art has been used to communicate the experiences and emotions of daily life,” says Dr Claudia Damiano, previously a Postdoctoral Researcher at GestaltReVision Lab, KU Leuven, in Belgium, and now Research Associate at Toronto’s Department of Psychology.
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”.
Could it really be that this was the secret that nature had been using all along to make complexity? It wasn’t long before I realized something fundamental: that this was at its core a computational phenomenon. But it really wasn’t physics, or computerscience, or math, or biology, or economics, or any known field.
The global structures of metamathematics , economics , linguistics and evolutionary biology seem likely to provide examples—and in each case we can expect that at the core is the ruliad, with its unique structure. And this is where our pieces of “falsifiable naturalscience” come in.
But while this might be a convenient setup for biology, it’s not at all clear that it’s even close to the best way to achieve the functionality we need. Of course, that’s not much different from how we might describe our brains as having been produced through the process of biological evolution.)
And if we’re going to make a “general theory of mathematics” a first step is to do something like we’d typically do in naturalscience, and try to “drill down” to find a uniform underlying model—or at least representation—for all of them. From a computerscience perspective, we can think of it as being like a type hierarchy.
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.
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