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Exit through the App Store?
A rapid evidence review of the technical considerations and societal implications of using technology to transition from the first COVID-19 lockdown
Exit through the App Store? Rapid evidence review explainer for Parliament
A rapid review of evidence on the technical considerations and societal implications of using technology to transition from the COVID-19 crisis.
Exit through the App Store? Rapid evidence review explainer for Government and policymakers
A rapid review of evidence on the technical considerations and societal implications of using technology to transition from the COVID-19 crisis.
Exit through the App Store? Rapid evidence review explainer for technology providers and developers
A rapid review of evidence on the technical considerations and societal implications of using technology to transition from the COVID-19 crisis.
Beyond the exit strategy: ethical uses of data-driven technology in the fight against COVID-19
How can we achieve the ethical use of data-driven technologies to combat COVID-19?
Removing the pump handle – stewarding data at times of public health emergency
By examining our past, we can find lessons for our future - avoiding pitfalls and ensuring equitable outcomes.
What will the first pandemic of the algorithmic age mean for data governance?
Global crises provide high-stakes stress testing for societal institutions, revealing – for better or worse – the cracks in existing systems.
Data-driven responses to coronavirus are only as good as the trust we place in them
Data is bringing huge benefits in the fight against Covid-19, but we must remain vigilant about NHS plans to collaborate with tech giants.
Our response to COVID-19
The COVID-19 pandemic has brought new challenges to us all, and we are more convinced than ever of the need to work together.
The foundations of fairness for NHS health data sharing
How do the public expect the NHS, and third-party organisations to steward their data?
International Women’s Day: celebrating the Black women tackling bias in AI
This year’s International Women’s Day theme ‘Each for Equal’ has particular resonance for Black women who experience discrimination.
Think. Resist. Act local: is a slow AI possible?
Jeremy Crampton, Professor of Urban Data Analysis at Newcastle University on the three principles that could underpin a more mindful approach to AI.