This report explores how computational thinking enhances scientific discovery, suggesting new pathways for inquiry.
Computational Thinking (CT) has emerged as the universal syntax for modern scientific inquiry, serving as a cognitive catalyst across disciplines. This report explores CT’s evolution from historical foundations to autonomous, "agentic" science. By leveraging abstraction and high-performance computing, researchers simulate complex realities via digital twins and self-driving labs. Integrating "algorithmic skepticism" remains essential to safeguard scientific truth and ethical integrity.
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Parla Bellisan (2022) studied this question.
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