DEBIAS is transforming the way we use digital mobility data by creating the first generalisable framework to detect and correct biases in human movement derived from mobile phones. Its innovations ensure mobility insights are fair, representative and actionable—transforming biased digital traces into reliable evidence for science, policy, and urban resilience. Here are a few ways to get involved:
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de-bias/debias's past year of commit activity - bias-detection Public
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de-bias/bias-detection's past year of commit activity - debiaspy Public
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de-bias/debiaspy's past year of commit activity - debiaspydata Public
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de-bias/debiasR's past year of commit activity - data-engineering Public
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de-bias/debiasRdata's past year of commit activity - DEBIAS_MX Public
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de-bias/Template's past year of commit activity - .github Public
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de-bias/.github's past year of commit activity
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