Big Data Seen to Solve Refugee Crisis via Predictive Analytics

Big Data

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Big data can be a satisfactory solution to help refugees or people who are displaced from their respective home countries. This is according to a professor from Ohio University who considers big data to be useful. However, people are not using this particular solution to address the refugee crisis.

Anirudh V. S. Ruhil, a professor of leadership and public affairs from Ohio University, claims that there are about 65 million people who are living as refugees or are considered as displaced people nowadays. This data, he said, has been collected by the UN Refugee Agency as various countries have already opened their borders to those people displaced by famine and war. To handle the large number of refugees, statistical science and predictive analysis can be used to solve the crisis, said the professor.

Being a predictive analytics practitioner himself, Ruhil views the field already prepared to provide a solution but financial and political roadblocks are keeping the society from addressing the refugee crisis. He said that the use of predictive analytics applies to those students who are in danger of dropping out from school, those involved in fraud cases, and people in the transportation industry. These data will help algorithms predict the problems even before they arise.

The professor also shares the use of migration data which are being collected from different sources, such as the population registers or census, border crossings, and sample surveys. With analytics, it would assist experts to identify where the refugees are more likely to head next.