mlsanityData to 14 Oct 2026

Crisis Analytics: Big Data Driven Crisis Response

arXiv 1602.07813 ↗First posted 25 Feb 2016cs.CYcited by 2

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Abstract (arXiv)

Disasters have long been a scourge for humanity. With the advances in technology (in terms of computing, communications, and the ability to process and analyze big data), our ability to respond to disasters is at an inflection point. There is great optimism that big data tools can be leveraged to process the large amounts of crisis-related data (in the form of user generated data in addition to the traditional humanitarian data) to provide an insight into the fast-changing situation and help drive an effective disaster response. This article introduces the history and the future of big crisis data analytics, along with a discussion on its promise, challenges, and pitfalls.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Feb 2016.

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