ICRC

DISCO-DHRIVE: Distributed Collaborative Learning for Data-driven Humanitarian Response in Insecure and Volatile Environments

DISCO-DHRIVE is developing a privacy-preserving collaborative learning platform using AI. It allows the building of AI models across different locations without the need to share sensitive data. Tailored to meet ICRC's unique challenges, including resource scarcity and stringent data confidentiality, the project integrates federated and distributed learning. This approach enables…

PriBAD: Private Biometrics for Aid Distribution

In this project, we work on providing a privacy-preserving biometric solution for humanitarian aid distribution. The project seeks to understand the requirements of aid distribution in emergency situation and design a solution that enables the use of biometrics without endangering the beneficiaries that need access to aid.

PAIDIT: Private Anonymous Identity for Digital Transfers

To serve the 80 million forcibly-displaced people around the globe, direct cash assistance is gaining acceptance. ICRC’s beneficiaries often do not have, or do not want, the ATM cards or mobile wallets normally used to spend or withdraw cash digitally, because issuers would subject them to privacy-invasive identity verification and…

Harmful Information Against Humanitarian Organizations

In this project, we are working with the ICRC to develop technical methods to combat social media-based attacks against humanitarian organizations. We are uncovering how the phenomenon of weaponizing information impacts humanitarian organizations and developing methods to detect and prevent such attacks, primarily via natural language processing and machine learning…

RuralUS: Ultrasound adapted to resource limited settings

Point-of-Care Ultrasound (PoCUS) is a powerfully versatile and virtually consumable-free clinical tool for the diagnosis and management of a range of diseases. While the promise of this tool in resource-limited settings may seem obvious, it’s implementation is limited by inter-user bias, requiring specific training and standardisation.This makes PoCUS a good…

Digitalizing search for missing persons

Armed conflicts, violence and migration are causing large scale separation of family members, dislocation of family links and missing persons. People must receive help to know what happened to reconnect to their loved ones as rapidly as possible. The ICRC and LSIR through its partnership have set themselves a challenge…

ICRC: Digitalization as Enabler to Re-Connect Families in Time of War

More than one million families are separated due to conflicts. The ICRC and the EPFL through C4DT partnership have set themselves a challenge to analyse publicly available data through analytics techniques to identify missing persons that would arguably not have been identified using current, conventional methods. The goal of this…