Track / Overview

The world is thriving on Artificial Intelligence (AI), and it has indeed become an essential component of our everyday life. The humanitarian sector is in the early days of harnessing this technology to expedite aid and humanitarian actions in much-needed areas.

In 2014, the International Organization for Migration (IOM) initiated the Missing Migrants Project (MMP) to document deaths and disappearances of people in the process of migration towards an international destination. The existing data on incidents involving migrant deaths are vastly incomplete. Among other sources, the project relies largely on media reports from across the world. The manual media monitoring process was a very resource-intensive task to address the issue to timely document migrant deaths and disappearances and the risks of migration, with the ultimate objective to save lives and establish coordinated international efforts on missing migrants. Since the initiation of the MMP, over 45,500 deaths and disappearances have been recorded, although the real number of lives lost during migration is presumed to be much higher.

The MMP partnered with Data Friendly Space to implement Machine Learning techniques to create a tool that would expedite the media monitoring process. In our track, we will discuss the background of the MMP project, some of the critical data collection challenges that the project faces and how AI is improving the documentation of migrant deaths and disappearances and contributing to bringing forward the issue to global stakeholders.

The speakers will also highlight the technical challenges they faced while training the ML models to extract the relevant information on missing migrants from a vast data set.

Track / Schedule


With Rishi Jha

Understanding Why Migrants Move and What Leads to their Disappearances

With Andrea García Borja & Julia Black

Monitoring the Missing Migrants

With Andrea García Borja & Jenny Paola Yela Bello



Developments and Challenges in Implementing AI for Missing Migrants Data Analysis

With Ewan Oglethorpe & Jenny Paola Yela Bello



With Rishi Jha

Track / Speakers

Ewan Oglethorpe

Executive Director, Data Friendly Space

Andrea García Borja

Data Analyst, International Organization for Migration

Julia Black

Missing Migrants Project Officer, International Organization for Migration

Rishi Jha

Communications & Institutional Partnerships, Data Friendly Space

Jenny Paola Yela Bello

Information Management and Data Science Officer, IFRC

Track / Co-organizers

Rishi Jha

Communications & Institutional Partnerships, Data Friendly Space

AMLD EPFL 2022 / Tracks & talks

AMLD Keynote Session – Monday morning

Marcel Salathé, Lenka Zdeborová, Carmela Troncoso, Chiara Enderle, Patrick Barbey, Thomas Wolf, Gunther Jansen, Laure Willemin, Simon Hefti, Arthur Gassner

10:00-12:00 March 28Auditorium A

AI & Physics

Francesca Mignacco, Gert-Jan Both, Michael Unser, Thomas Asikis, Dalila Salamani, Pietro Rotondo, Tom Beucler, Giulio Biroli

12:30-18:00 March 285BC

AI & Pharma

Asif Jan, Jonas Richiardi, Patrick Schwab, Naghmeh Ghazaleh, Alexander Büsser, Carlos Ciller, Caibin Sheng, Silvia Zaoli, Félix Balazard, Giulia Capestro, Marianna Rapsomaniki, Martijn van Attekum

13:30-17:30 March 281BC

AMLD / Global partners