Search
Browse the Ada Lovelace Institute website.
Filter by:
Active filters:
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
Public lacks access to, and has concerns about discriminatory impact of, COVID-19 related technologies
Findings from a survey of public attitudes towards a range of technologies deployed during the COVID-19 pandemic for health outcomes
COVID-19, the gig economy and the hunger for surveillance
The hidden, and unfairly distributed, costs of convenience on gig economy workers
Rapid, online deliberation on COVID-19 technologies
Rapid, online deliberation with 28 members of the public on COVID-19 exit strategies
COVID-19 rapid evidence review
A rapid evidence review of the technical considerations and societal implications of using technology to transition from the COVID-19 crisis
No green lights, no red lines
Lessons to assist Government and policymakers navigating difficult dilemmas when deploying data-driven technologies to manage the pandemic
Can digital immunity certificates be introduced in a non-discriminatory way?
New forms of technology are coming. How do we ensure they’re deployed in a way that conforms to equality regulation?