03 Mar 2022

Gender and Beyond: Unlocking the Potential of Data and an Intersectional Analysis of Climate Driven Mobility

  • Date
    08 Mar 2022, 16:00pm
  • Location
  • Organizer

    IOM Displacement Tracking Matrix (DTM) London

Migrants and displaced people of all genders have different needs and priorities and face diverse risks shaped by intersecting forms of discrimination. In honor of International Women’s Day on 8th March 2022, the International Organization for Migration's (IOM) Displacement Tracking Matrix (DTM) invites you to join an online panel discussion to explore if and how intersectionality can be operationalized in humanitarian data collection and analysis, on the impacts of disaster displacement and environmental migration.  

Intersectionality is a term coined by the legal scholar and activist Kimberlé Crenshaw to describe the interlocking systems of oppression experienced by Black women in the USA as a result of both their racial and gender identities. This analysis has since been extended to encompass the multifaceted oppression faced by other marginalized groups based on identities such as nationality, migration status, indigeneity, ability, age and more. 

Representative data is pivotal to developing durable responses to environmental mobility that reflect the different needs and impacts faced by populations. The panel will explore how data collection and analysis practices can be transformed to better account for interlocking vulnerabilities and systems of marginalization, to improve our understanding of the varied gendered impacts and experiences of displacement and environmental migration, with the aim of informing better responses. 


  • Masumi Yamashina - Tsunagu Network, Founder and Executive Director
  • Roei Shaul Hillel - UNICEF-led Global Child Protection AoR, MHPSS Specialist
  • Erika Pires Ramos - Red Sudmaericana para las Migraciones Ambientales (RESAMA), Co-Founder
  • Keila McFarland Dias - RESAMA, Researcher
  • Benedetta Cordaro - Joint Intersectoral Analysis Framework (JIAF), Lead Analyst

Link to join the event: