"Criteria" a platform for policy-makers

A project with ProserIA seeking to convert data into evidence to inform and improve social policy-making in Latin America.


“Criteria” is an interactive decision support system that empowers policy-makers to explore, analyze, and decide over a large space of potential designs and targeting schemes for social policies. Criteria visualizes interactively the expected poverty impact of policy alternatives, as well as their associated costs. Policies can be designed in terms of: target population, prioritization criteria(s), support amounts, budget constraints, segmentation by relevant groups, and group-specific amounts & selection criteria. 

Watch the following video to learn more.



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.


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.


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.


  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.  


If you have inquiries in regards to this project, please contact Rodrigo Lara Molina at rlaramolina@datapopalliance.org