Publications: Choice Modelling and Behavioural Research

Meeting the Needs of the RAF Community

RAND Europe examined the size, demographics and support needs of current and former RAF personnel and their families for the RAF Benevolent Fund to inform future welfare planning and service delivery across the wider RAF community.

Linda Slapakova, Catherine Galley, Sean Flanagan, Tristan Kreetz

Support needs of the veteran community in Great Britain

The Royal British Legion (RBL) commissioned RAND Europe to produce forecasts of the support needs of the veteran community which show a decrease in the number of veterans, partners and children with support needs out to 2045.

Investigating the potential use of frontier AI models for offensive cyberattacks: A human uplift study

The UK Artificial Intelligence Security Institute (UK AISI) commissioned RAND to conduct a human uplift study to evaluate the impact of AI access on offensive cyber operations among lower-skilled threat actors.

Jair Aguirre, Henri van Soest, Benjamin Sperisen, Zylex Lopez, Nicholas Kong, Adam Seri-Levi, James Caridi-Doyle, Elizabeth Moisan, Evie Graham, William Mitchell Reid

Forecasting the size and demographics of the UK Armed Forces community

The Royal British Legion (RBL) commissioned RAND Europe to produce the first detailed forecasts of the size and demographics of the UK Armed Forces community, which will become smaller, increasingly demographically diverse and intergenerational.

Catherine Galley, Linda Slapakova

Estimating the current and future size of the UK bereaved Armed Forces community

The Royal British Legion (RBL) commissioned RAND Europe to produce detailed forecasts of the size and demographics of the bereaved UK Armed Forces community, which while small, is an important and often overlooked group.

Catherine Galley, Linda Slapakova

Forecasting the support needs of the veteran community in Great Britain: Analysis of trends in general health, disability and caring responsibilities

The Royal British Legion (RBL) commissioned RAND Europe to produce detailed forecasts of the support needs of the GB veteran community, which show a decrease in the number of veterans, partners and children with support needs out to 2045.

Catherine Galley, Linda Slapakova

Meeting the Needs of the Royal Navy and Royal Marines Community

This report presents comprehensive analysis of the evolving size, demographics and support needs of the current and former Serving Royal Navy and Royal Marines community to inform future welfare strategy and service delivery.

Linda Slapakova, Catherine Galley, Tristan Kreetz, Sean Flanagan

What Works in Reducing NEET Rates: A Comparative Study

The aim of this study is to investigate international NEET rates and identify successful initiatives that have helped reduce these rates particularly among marginalised young people.

Joanna Hofman, Emily Hutton, Madeline Nightingale

What Works in Reducing NEET Rates: Australia

A deep-dive at how Australia has successfully reduced and maintained low NEET rates through labour market-focused measures.

Emily Hutton

The cost of poor military-to-civilian transition among the UK Armed Forces community: Findings from ‘Understanding the Transition from Military to Civilian Life’

This report examines the costs of adverse transitions from the UK Armed Forces, estimating the prevalence and cost of Service leavers experiencing unemployment, poor mental health, harmful drinking, homelessness, criminal offending and imprisonment.

Catherine Galley, Linda Slapakova

The Use of AI for Improving Energy Security: Exploring the Risks and Opportunities of the Deployment of AI Applications in the Electricity System

This paper evaluates the impact of artificial intelligence applications in power systems on energy security, and presents a set of policy implications for AI on the European synchronous grid.

Ismael Arciniegas Rueda, Henri van Soest, Hye Min Park

Forecasting the Fallout from AMR: Averting the Health and Economic Impacts Through One Health Policy and Investment

This brief presents policy recommendations on how to mitigate the potential economic impacts of antimicrobial resistance (AMR).

Birhanu A. Adamie, Holy T. Akwar, Montserrat Arroyo, Heather Bayko, Marco Hafner, Stella Harrison, Morgan Jeannin, Deborah King, Sohwon Kweon, Nohkyum Daniel Kyeong, Fifi Olumogba, Ishmeala Rigby, Shinae Joy Song, Erez Yerushalmi, Javier Yugueros-Marcos, Sana Zakaria