March 2022 – May 2023
Knowing whether humanitarian action is effective requires feedback loops. Until now, these are predominantly of qualitative nature. The International Committee of the Red Cross (ICRC) currently relies on observations, interviews and status reports compiled by field analysts to monitor its work. This has several shortcomings: (1) status reports are heavily dependent on personal assessment and thus fluctuate between different analysts; (2) the reports are in unstructured, textual form making it difficult to extract information; (3) although a large organization, the ICRC does not have the human resources to monitor incidents of armed violence across entire countries. To address these issues, we propose incorporating large amounts of data, quantitative measures of conflict intensity and automated, machine-based event analysis. Such data can be 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 would allow the ICRC to monitor the impact of its actions and facilitate more informed, data-driven decision-making in planning future actions.

EPFL PI: Dr. Saitta Sandro, Prof. Dr. Roberto Castello

Co-applicants: Prof. Daniel Gatica-Perez (EPFL)

Partners: Fiona Terry (ICRC), Niklas Stoehr (ETH Zurich)

Photo: Copyright: ICRC./ Khalid Hawre / 02.06.2018/ Mosul. This man (30) walks through his neighbourhood, which was completely destroyed, on the west bank of Mosul. After his house was destroyed during the war, he fled from west bank of the city and…/ V-P-IQ-E-02220

Publications and/or scientific communication:

Other non-scientific communication:

Field evaluation of the Agilis foot
Automated Facial Approximation of Unidentified Human Skulls Using Image-to-image Translation Models