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🧪 Validity, Reliability & Reproducibility: What Every Computer Science Researcher Needs to Know

In computer science, we often focus on performance metrics: speed, accuracy, precision. But when it comes to research itself, especially when working with data, users, or algorithms, three deeper principles define the trustworthiness of our work: validity, reliability, and reproducibility. At Learn in Europe, we help early-stage researchers go beyond technical execution and develop rigorous scientific thinking. Understanding these core concepts is part of that foundation. Let’s unpack each one—and see how they shape high-quality research in computer science.
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