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Youth Engagement

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Oct 04 2023 Print

Data is a vital resource for youth activists, students and educators. As a data actor, IOM’s Displacement Tracking Matrix (DTM) engages with youth to encourage critical reflection on public narratives around migration and displacement, increase capacity to understand, interpret and use migration and displacement data, and support innovation from leaders of the future.

Through a multifaceted engagement approach, DTM hopes to increase the impact and use of IOM’s data and empower youth voices. This engagement is founded upon three pillars: student research projects, data workshops and events with students and educators, and academic partnerships.

In line with these modalities of engagement, this webpage is a repository to document the outputs that are produced through this meaningful collaboration and showcase powerful, and insightful pieces that have stemmed from this interaction.

Disclaimer: The opinions expressed in these publications are those of the authors and do not necessarily reflect the views of the International Organization for Migration (IOM). The designations employed and the presentation of material throughout these blogs, videos, and papers do not imply expression of any opinion on the part of IOM.

Crops and houses have been destroyed by the heavy floods in the Gatumba area.<br />
The Mediatization of Internal Displacement: Do Media Reports Accurately Represent the Severity of Internal Displacement Driven by Flooding in Burundi as Captured by DTM?

On the 5th of June 2023, IOM’s Displacement Tracking Matrix (DTM) team in London hosted its first hackathon event in collaboration with UCL’s Institute for Risk and Disaster Reduction (IRDR).

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Flooded yet thirsty: Climate disaster and water access in Pakistan during 2022-2023
Flooded yet thirsty: Climate disaster and water access in Pakistan during 2022-2023

On 29 November and 2 December 2023, the Displacement Tracking Matrix (DTM) partnered with SOAS, University of London to host a two-day data workshop, “Storytelling through Data” to enhance students’ technical capacity with analysing humanitarian data.

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