Data Science/ AI: A Possible Panacea for Refugee Crisis
DOI:
https://doi.org/10.47611/jsrhs.v11i3.2973Keywords:
Refugee crisis, Data Science, Ukraine, Refugee camps, Afghanistan, Artificial intelligenceAbstract
Data and information are currently the two threads that intertwine to weave the shimmery fabric of modern society. We often use data and information interchangeably, but they differ considerably. For example, information analysis reveals a rationale, and logic, while data analysis, on the other hand, reveals a pattern. Moreover, patterns revealed by data can enable us to create the necessary tools to combat huge problems on our hands. They paint a clear picture so that the decision-making process becomes simple. Moreover, to solve the refugee crisis, we need to leverage that.
The refugee crisis does not have binary answers. Given the emotionally wrenching nature of the ground realities, experts often shy away from realistically stating things as they are. This hesitancy can cost lives. When our decisions are based solely on data, we can remove emotions from our decision-making steps. Data also presents irrefutable evidence and tells whether there is a solution or not. Moreover, it also responds to a nonbinary crisis with a binary answer. Because of all that, it becomes easier to tackle a problem.
Data science and A.I. can predict future refugee crises. With the recent explosion of data due to the rise of social media platforms, data and insight into data has solved many social and political problems. Data science can also help solve many problems refugees face while staying in refugee camps or a new country. This paper looks into various ways data science can help solve refugee problems.
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