AiG Month event: Why understanding devolution and UK‑wide data matters for analysts, affects comparability, insight and decision making across government.
Learn more on Why analysts should care about devolution and UK wide dataAiG Month event: How the Department for Transport and Home Office built award winning discrete event simulation models in R to test policy scenarios + support evidence based decisions.
Learn more on How to build a Discrete Event Simulation model in R: EU Entry & Exit SystemAiG Month event: Learn about how the Met Office is using AI to deliver faster, more accurate forecasts + strengthen UK resilience to weather + climate risks.
Learn more on A fireside chat with Professor Kirstine Dale, Met Office’s Chief AI OfficerAiG Month event: Sir David Spiegelhalter explains how to understand, explain and live with uncertainty in an age of data overload, risk and misinformation.
Learn more on Communicating uncertainty in an uncertain age with Sir David SpiegelhalterMay’s online Research Excellence Series talk features Dr Emma Sharland from the Office for National Statistics (ONS), winner of last year’s ONS Research Excellence Award.
Learn more on How the National Statistician’s Analysis Unit drives impact through dataAiG Month event: How Ministry of Justice used micro simulation modelling to inform Crown Court reform, reduce case backlogs and support evidence based ministerial decisions.
Learn more on Justice Delayed is Justice Denied: Micro-simulation of Crown Court ReformAiG Month closing event: What Census 2031 means for analysts, and how new methods, data sources and decisions today will shape the future of UK population statistics.
Learn more on Census 2031The latest Go-Science 'Science and Society' webinar.
Learn more on Understanding social cohesion: Evidence from policy and social scienceJoin Robbie Lumsden, Senior Research Librarian at the Department for Work and Pensions (DWP), for a session where he will explore the current situation on AI in relation to literature searching.
Learn more on Artificial Intelligence (AI) and literature searching: a practitioner’s guide to the current landscape