Refugees and
Communities
in Lebanon

A project with UN ESCWA seeking to leverage behavioral and humanitarian data sources to analyze the challenges faced by Syrian refugees and host communities in Lebanon 

About

Big Data has the potential to offer insights on social behavior that can complement traditional data sources, including the living conditions of vulnerable and hard to reach populations. This pilot, led by UN ESCWA, QCRI and Data-Pop Alliance, aims at leveraging traditional and non-traditional data sources, to provide novel insights on the living conditions of Syrian refugees and host communities in Lebanon.

Stages

Diagnose

Pilot research project to explore the extent to which combining sets of traditional and non-traditional data sources and methodologies can provide useful and novel insights on the living conditions of Syrian Refugees and Host Communities in Lebanon.

Mobilize

Through a data challenge, we seek to engage communities of data experts to create additional insights from the data obtained. We will also be holding a capacity and community building workshop to raise awareness on key research results.

Transform

With the creation of a policy note, we seek to summarize key research findings and explore opportunities to scale our research, looking to create added value to UN organizations and Lebanon’s Central Administration of Statistics.

Relevance

  1. Lebanon has the most Syrian refugees per capita in the world (1.5 million).
  2. The challenges that refugees face are combined with the pre-existing challenges faced by host communities. Therefore, understanding their needs is key to proposing actions to mitigate and relieve the struggles endured by both populations.
  3. Funding has remained more or less the same while the challenges have increased, meaning that the funding gap keeps growing. 
  4. Data collection is needed; yet, the collection process is expensive, which is why we explore cost-effective ways of producing more insights by using existing data and complementing it with Big Data.

Related work

The Data for Refugees (D4R) Challenge is a non-profit challenge initiated to improve the conditions of the Syrian refugees in Turkey by providing a special database to scientific community for enabling research on urgent problems concerning refugees, including health, education, unemployment, safety, and social integration. 

This book (2019) summarizes the most important findings of the Data for Refugees (D4R) Challenge, in which more than 100 teams from around the world participated, with 61 having had granted access to the data.

Contact

If you have inquiries in regards to this project, please contact Andrés Lozano at alozano@datapopalliance.org or María Antonia Bravo at mbravo@datapopalliance.org