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The role of good governance and the rule of law in building public trust in data-driven responses to public health emergencies
A citizen jury deliberation on the trustworthiness of data-driven technologies used in a public health emergency
Minding the genomic data gap: COVID-19, genomics and health inequalities
The role of genomics in the data-driven pandemic response
Turning distrust in data sharing into ‘engage, deliberate, decide’
Five lessons from the GP Data for Planning and Research scheme (GPDPR)
The data divide
Public attitudes to tackling social and health inequalities in the COVID-19 pandemic and beyond
A data divide based on access
A significant proportion of the UK public lacks adequate access to data infrastructures, such as broadband, connectivity and smartphones, survey finds
A data divide based on knowledge, awareness and skills
A large proportion of the UK public lacks awareness of the existence of certain COVID-19 technologies, survey finds
A data divide based on use, acceptability and comfort
Differences in public attitudes between those who have chosen to use COVID-19 technologies, and those who have chosen not to
A data divide in the reasons for using or not using technologies: collective and individual benefit
Belief in accuracy and effectiveness strongly correlated with why people chose (or chose not) to use COVID-19 technologies, survey finds
Public attitudes towards vaccine passports
Findings from a nationally representative survey on public attitudes towards a range of COVID-19 technologies, including vaccine passports
Algorithmic impact assessment in healthcare
A research partnership with NHS AI Lab exploring the potential for algorithmic impact assessments in an AI imaging case study
The socio-technical challenges of designing and building a vaccine passport system
The fourth in a series of public evidence events on vaccine passports and COVID status apps.
Why the COVID-19 shielded patient list might both compound and address inequalities
Wicked problems in the use of data-driven systems