Scientific software lifecycle: from idea to paper

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A talk for researchers who use computation but may not think of themselves as software developers. The argument: software is not a detail of computational science, it is the science. Starting from Kenneth Craik’s model of cognition, I trace what it means for code to carry (or corrupt) knowledge—and what a healthy lifecycle looks like in practice. Topics covered include reproducibility,…

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