Missing data are an unavoidable complication in many machine learning ta...
This article is concerned with setting up practical guardrails within th...
The Advancing Data Justice Research and Practice project aims to broaden...
The idea of "data justice" is of recent academic vintage. It has arisen ...
The Advancing Data Justice Research and Practice (ADJRP) project aims to...
Following on from the publication of its Feasibility Study in December 2...
This article offers several contributions to the interdisciplinary proje...
We derive a Matern Gaussian process (GP) on the vertices of a hypergraph...
Among the most damaging characteristics of the covid-19 pandemic has bee...
In March 2020 the United Kingdom (UK) entered a nationwide lockdown peri...
In September 2019, the Council of Europe's Committee of Ministers adopte...
Over the last two years, The Alan Turing Institute and the Information
C...
In this paper I explore the scaffolding of normative assumptions that
su...
Over the past couple of years, the growing debate around automated facia...
We show how to use Stein variational gradient descent (SVGD) to carry ou...
Innovations in data science and AI/ML have a central role to play in
sup...
A remarkable time of human promise has been ushered in by the convergenc...