Crisis Analytics: Big Data Driven Crisis Response

TL;DR

This paper discusses how big data analytics can revolutionize disaster response by providing real-time insights from diverse crisis-related data, highlighting its potential, challenges, and future prospects.

Contribution

It introduces the evolution and future directions of big crisis data analytics, emphasizing its role in improving disaster response strategies.

Findings

Big data tools enable real-time crisis situation analysis.

Challenges include data quality, privacy, and integration issues.

Potential to significantly enhance disaster response effectiveness.

Abstract

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.