School Seminar: Using AI to minimise risk and maximise safety and well-being of forced migrants


Abstract 

A social unrest and violent atmosphere can force a vast number of people to flee their country. According to a report from UNHCR, 68 millions of people were forced to displaced in 2017. Forced migrants often face life-threatening risks and danger when travelling to their hosting countries. If these countries do not prepare themselves in advance to cope with the sudden influx of people at their borders, chaos will happen and can lead to violence. While governments and international aid organizations need migration data to inform their decisions, the availability of this data is often delayed due to the tediousness to collect and publish this data. Recent studies recognized the increasing usage of social networking platforms amongst refugees to seek help and express their hardship during their journeys. With this in mind, this talk is to discuss the development a model which aims to preemptively predict migration patterns of refugees in real-time using social media data and artificial intelligent analytic methods. The predicted migration pattern can help government and aid agencies of affected countries to prepare themselves in advance. Refugees can also use the migration pattern to make informed choice of their migration routes and destinations in order to minimise their risks and maximise their safety.
 
Biography

Dr. Patrick Wong is a lecturer of the School of Computing and Communications of Open University. He is a supervisor of the Next Generation Multimedia Research Group and an executive member of the IET's Vision and Imaging Professional network. His main research interests are in artificial intelligent and computer vision applications. He has supervised PhD projects on distributed video coding, medical imaging, multiview image processing, multi-agent system applications and cognitive radio technologies.



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