Patterns of violence

Monitoring patterns of violence with the ICRC

Started
January 1, 2023
Status
Completed
Share this project

Abstract

The International Committee of the Red Cross (ICRC) is an independent and neutral organization operating worldwide to help people affected by conflicts and armed violence and to protect victims of war. Knowing whether an humanitarian action is effective requires feedback loops. The ICRC currently relies on observations, interviews and status reports compiled by field analysts to monitor its work. This has several shortcomings, like (i) subjectiveness, (ii) unstructured reports in the form of a text (making it difficult to extract information) and (iii) lack of  human resources to monitor episodes of armed violence across entire countries.

People

Collaborators

SDSC Team:
Silvia Quarteroni
Roberto Castello
Clément Lefebvre

PI | Partners:

ICRC

Fiona Terry
David Wanstall
Fabien Dany
Chiara Debenedetti
Aminata Gueye

EPFL and IDIAP

Daniel Gatica-Perez

ETH Zurich

Niklas Stoehr

The project was funded by the ETH4DHumanitarian Action Challenge.

description

Objectives

To address these issues, we propose incorporating large amounts of data, quantitative measures of conflict intensity and automated, machine-based event analysis. We process many textual reports on conflicts to uncover patterns of violence in the affected areas. To achieve this, we designed an open-source machine learning approach that can transform unstructured textual events into specific forms of violence, essentially identifying "who-did-what-to-whom". This approach has proven to be both flexible and low resource, as we do not rely on large, labeled datasets.

Benefits

The results of the model’s classification are matched against the ICRC’s data on its protection work that aims to influence armed forces and groups to fight in accordance with international humanitarian law (IHL). This has allowed the ICRC to monitor the impact of its actions and facilitate more informed, data-driven decision-making in planning future actions.

kidnapping events in Mali

Notes

The project was funded by the ETH4DHumanitarian Action Challenge and grew out of a collaboration with Daniel Gatica-Perez (EPFL and IDIAP) and Niklas Stoehr (ETH Zurich). We would like to thank the team at the ICRC, Fiona Terry, David Wanstall, Fabien Dany, Chiara Debenedetti and Aminata Gueye for feedback and discussions that motivated this project.

Gallery

Cover image: courtesy to ICRC

Annexe

Additional resources

Bibliography

Publications

Related Pages

More projects

SFOE Energy Dashboard

Completed
Modelling the end-user Swiss electricity consumption
Energy & Sustainability
Public sector

Enhancing resource efficiency

Completed
Data science for enhancing resource efficiency in manufacturing processes
Energy & Sustainability
Private sector

Sustainable ingredients

Completed
Leveraging AI to foster sustainable consumer goods
Energy & Sustainability
Private sector

Standardizing Job Titles

Completed
Job title standardization through entity alignment of knowledge graphs
Digital Society
Private sector

News

Latest news

First National Calls: 50 selected projects to start in 2025
March 12, 2025

First National Calls: 50 selected projects to start in 2025

First National Calls: 50 selected projects to start in 2025

50 proposals were selected through the review processes of the SDSC's first National Calls.
AIXD | Generative AI toolbox for architects and engineers
January 22, 2025

AIXD | Generative AI toolbox for architects and engineers

AIXD | Generative AI toolbox for architects and engineers

Introducing AIXD (AI-eXtended Design), a toolbox for forward and inverse modeling for exhaustive design exploration.

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!