Publications

About me

I apply machine learning to problems in political conflict and violence. I am particularly interested in measurement and data collection, forecasting, neural networks, Bayesian statistics, anomaly detection, natural language processing, and cybersecurity. I graduated from Duke University with my Ph.D. in Political Science in 2016. I received my B.A. in Mathematics and International Studies from UNC Asheville in 2010.

Positions

Assistant Professor
University of Pittsburgh

President & Founder
LevelUp Research

Senior Researcher
Radford Consulting

Collaborations & Consulting

Let's work together.
benjamin.radford gmail.com

Papers

Measuring and Forecasting Casualties of Political Violence: Companion Webpage

Presented at University of Pittsburgh & University of Florida

Benjamin J. Radford 2024

Estimating conflict losses and reporting biases

Proceedings of the National Academy of Sciences

Benjamin J. Radford, Yaoyao Dai, Niklas Stoehr, Aaron Schein, Mya Fernandez, Hanif Sajid 2023 PDF

The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics

Proceedings of The 26th International Conference on Artificial Intelligence and Statistics

Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein 2023 PDF

Software Vulnerability Detection Using Large Language Models

Proceedings of the Workshop on Machine Learning for Software Reliability, ISSRE 2023

Moumita Das Purba, Arpita Ghosh, Benjamin J. Radford, Bill Chu 2023

Political Event Coding as Text-to-Text Sequence Generation

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)

Yaoyao Dai, Benjamin J. Radford, Andrew Halterman 2022 PDF

Extended Multilingual Protest News Detection: Shared Task 1, CASE 2021 and 2022

Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)

Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan, Onur Uca, Alaeddin Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük 2022 PDF

High Resolution Conflict Forecasting with Spatial Convolutions and Long Short-Term Memory

International Interactions

Benjamin J. Radford 2022 PDF

Few-Shot Upsampling for Protest Size Detection

Findings of the Association for Computational Linguistics ACL-IJCNLP 2021

Andrew Halterman and Benjamin J. Radford 2021 PDF

Regressing Location on Text for Probabilistic Geocoding

Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)

Benjamin J. Radford 2021 PDF

CASE 2021 Task 2: Zero-Shot Classification of Fine-Grained Sociopolitical Events with Transformer Models

Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)

Benjamin J. Radford 2021 PDF