Stanford researchers develop a data-driven algorithm to place refugees in areas where they are most likely to find employment. In an article published on 18 January 2018, they describe how the algorithm uses demographic data and skills of the refugee and look for “synergies” with possible settlement regions. This system also takes into account regional employment trends; if refugees with similar profiles are settled in different regions but only one finds employment, future refugees will be sent to the successful location over the unsuccessful location. The potential employment increase of refugees in the US is cited to be 70%.
This is a step forward compared to the refugee resettlement system currently used in the US, based mainly on available living space. While this meets the basic need for shelter, it restricts the ability of many refugees to integrate well and become self-sustaining. The Stanford team have made the algorithm available online for free, with the hopes that resettlement agencies in the US and across the world will implement it.
Abstract written by Annie Twombly
Original article here
Research paper here