How to detect and counter R&D biases: Stavroula Ntoufa's advice

In R&D, three types of bias often undermine early-stage research: sampling bias, familiarity bias, and positivity bias. Left unchecked, these biases can distort research findings, slow progress and even contribute to higher R&D failure rates. What countermeasures can help minimize these biases and detect them early, before they compromise research outcomes? See what our Director of Scientific Affairs Stavroula Ntoufa recommends in this article: https://hubs.la/Q03Ht74b0

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Lauren Halket

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2w

Valuable article! Proactively identifying and mitigating biases like these is essential for improving research reliability and reducing failure rates in R&D

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