Publications

Peer-reviewed publications.

Note: Given the sensitivity of my previous work in UN peacekeeping, my academic publications were therefore less regular during that time.

View the complete record on Google Scholar
2026

Journal · Public health and simulation

Foundations for digital twins: spatially disaggregated synthetic populations of refugee and internally displaced people settlements from national census data

Difu Shi, Joseph Aylett-Bullock and Frank Krauss

Royal Society Open Science

2026

Conference · Information environments

PRISM: LLM-Guided Semantic Clustering for High-Precision Topics

Connor Douglas, Utkucan Balci and Joseph Aylett-Bullock

Proceedings of the ACM Web Conference

2023

Journal · Public health and simulation

A mixed-method approach to determining contact matrices in the Cox’s Bazar refugee settlement

Joseph Walker, Joseph Aylett-Bullock, Difu Shi, et al.

Royal Society Open Science

2023

Conference · Public health and simulation

Don’t Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation

Arnau Quera-Bofarull, Ayush Chopra, Joseph Aylett-Bullock, et al.

AAMAS

2023

Conference · Public health and simulation

Mitigating Disease Spread by Design in Refugee and IDP Camps

Giulia Zarpellon, Joseph Aylett-Bullock, Frank Krauss, et al.

ICLR Workshop on Machine Learning & Global Health

2023

Conference · Displacement

Modelling Population Movements under Uncertainty at the Border in Humanitarian Crises

Arturo de Nieves Gutiérrez de Rubalcava, Oscar Sánchez Piñeiro, Joseph Aylett-Bullock, et al.

KDD Workshop on Data-driven Humanitarian Mapping

2022

Journal · Public health and simulation

Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward

Joseph Aylett-Bullock, Robert Tucker Gilman, Ian Hall, et al.

BMJ Global Health

2022

Journal · Public health and simulation

Bayesian emulation and history matching of JUNE

Ian Vernon, Joseph Owen, Joseph Aylett-Bullock, et al.

Philosophical Transactions of the Royal Society A

2022

Conference · Responsible AI

Multi-AI Complex Systems in Humanitarian Response

Joseph Aylett-Bullock and Miguel Luengo-Oroz

KDD Workshop on Data-driven Humanitarian Mapping

2021

Journal · Public health and simulation

Operational response simulation tool for epidemics within refugee and IDP settlements

Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, et al.

PLOS Computational Biology

2021

Journal · Public health and simulation

JUNE: open-source individual-based epidemiology simulation

Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, et al.

Royal Society Open Science

2021

Journal · Scientific simulation

Optimising simulations for diphoton production at hadron colliders using amplitude neural networks

Joseph Aylett-Bullock, Simon Badger and Ryan Moodie

Journal of High Energy Physics

2021

Conference · Responsible AI

Ensuring the Inclusive Use of NLP in the Global Response to COVID-19

Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Joseph Aylett-Bullock, et al.

Machine Learning Principles and Practice of Knowledge Discovery in Databases

2021

Preprint · Public health and simulation

Vaccinations or Non-Pharmaceutical Interventions: Safe Reopening of Schools in England

Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Joseph Aylett-Bullock, et al.

medRxiv

2021

Journal · Responsible AI

From Artificial Intelligence Bias to Inequality in the Time of COVID-19

Miguel Luengo-Oroz, Joseph Bullock, Katherine Hoffmann Pham, et al.

IEEE Technology and Society Magazine

2021

Thesis ·

Colliding Worlds: Modern Computational Methods for Scattering Amplitude Calculations and Responding to Crisis Situations

Joseph Aylett-Bullock

Durham University

2020

Journal · Crisis mapping

Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery

Edoardo Nemni, Joseph Bullock, Samir Belabbes, et al.

Remote Sensing

2020

Conference · Crisis mapping

PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts

Tomaz Logar, Joseph Bullock, Edoardo Nemni, et al.

AAAI Conference on Artificial Intelligence

2020

Journal · Scientific simulation

Using neural networks for efficient evaluation of high multiplicity scattering amplitudes

Simon Badger and Joseph Bullock

Journal of High Energy Physics

2020

Journal · Responsible AI

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham, et al.

Journal of Artificial Intelligence Research

2020

Conference · Responsible AI

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19

Alexandra Sasha Luccioni, Joseph Bullock, Katherine Hoffmann Pham, et al.

Harvard CRCS Workshop on AI for Social Good

2020

Journal · Responsible AI

Artificial intelligence cooperation to support the global response to COVID-19

Miguel Luengo-Oroz, Katherine Hoffmann Pham, Joseph Bullock, et al.

Nature Machine Intelligence

2019

Conference · Information environments

Automated Speech Generation from UN General Assembly Statements: Mapping Risks in AI Generated Texts

Joseph Bullock and Miguel Luengo-Oroz

ICML AI for Social Good Workshop

2019

Conference · Medical imaging

XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets

Joseph Bullock, Carolina Cuesta-Lazaro and Arnau Quera-Bofarull

SPIE Medical Imagine