Featured work
Learning data lessons: data access and sharing during COVID-19
Findings from an expert workshop exploring lessons learned from data-driven initiatives that emerged in response to COVID-19.
Meaningful transparency and (in)visible algorithms
Can transparency bring accountability to public-sector algorithmic decision-making (ADM) systems?
Can algorithms ever make the grade?
The failure of the A-level algorithm highlights the need for a more transparent, accountable and inclusive process in the deployment of algorithms.