Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/183860
Authors: 
Shehu, Visar
Besimi, Adrian
Vejseli, Urim
Jones, Douglas
Year of Publication: 
2018
Citation: 
[Title:] Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Split, Croatia, 6-8 September 2018 [ISSN:] 2706-4735 [Volume:] 4 [Pages:] 470-475
Abstract: 
Next Generation Incident Response System (NICS) is a platform developed by MIT Lincoln Lab that is currently being used in Macedonia by the Centre for Crisis Management (CCM). It allows coordination during natural disasters between first responders of various departments and allows them to use state of the art tools to communicate and share information. This research focuses on advancing the platform by introducing intelligent agents to the platform, based on machine learning techniques and natural language processing. Our goal is to leverage data generated in social media and feed NICS with automatically processed information from these media categorized in twelve different needs (categories). This paper presents the current state of our research, preliminary results and final goals.
Subjects: 
disaster response
NLP
machine learning
data analytics
JEL: 
D83
Document Type: 
Conference Paper

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