User research requires working as a team, since it necessitates running sessions with participants, observing and moderating research sessions, analyzing and synthesizing results, as well as communicating results effectively.
A central hub of guidance, standards, and supporting documentation explaining how UK public sector bodies should record and publish information about algorithmic systems to ensure transparency and accountability.
This report documents the key lessons learned from the UK Universal Credit Programme between 2010 and 2025, reflecting on the program’s management, implementation, and development over its lifecycle.
This policy brief explores how public procurement can serve as a primary demand-side driver to establish digital sovereignty across the European Union.
The paper hopes to stimulate discussions towards an ethical protocol for better practice in BI experiments and provide a useful resource to those working on, or interested in, BI research.
This hub introduces the UK government's Algorithmic Transparency Recording Standard (ATRS), a structured framework for public sector bodies to disclose how they use algorithmic tools in decision-making.
A web-based platform that provides design principles, accessible UI components, and guidance to help teams across the UK government create consistent, user-centered digital services.
The AI Insights publication series from the UK Government’s Government Digital Service (GDS) provides technical guidance to help public sector organisations understand, implement, and manage artificial intelligence systems safely and effectively.
A guidance page explaining how government teams should evaluate and use commercial-off-the-shelf (COTS) products and services when building digital public services.
