Crisis analytics: big data-driven crisis response

Qadir, Junaid; Ali, Anwaar; Rasool, Raihan Ur; Zwitter, Andrej; Sathiaseelan, Arjuna; Crowcroft, Jon

doi:10.1186/s41018-016-0013-9

Cited by 116 publications

(101 citation statements)

References 36 publications

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“…Furthermore, the humanitarian principles of humanity, impartiality, neutrality, and independence are still among the core principles that should be observed with any technological solutions. Work on big data and the humanitarian principles has shown that there are potential caveats when it comes to the implementation of Big Data solutions (Qadir et al 2016). Veracity of data and analyses as one of the methodological issues around the use of Big Data in the humanitarian field for example remains just as or even more important when dealing with immutable, distributed ledgers.…”

Section: Concerns and Limitationsmentioning

confidence: 99%

Blockchain for humanitarian action and development aid

Zwitter¹,

Boisse-Despiaux²

2018

Int J Humanitarian Action

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Blockchain technology is swiftly entering the fields of humanitarian and development aid. While it has the potential to revolutionize the aid sector, e.g., through pairing smart contracts with forecast-based financing, it also has the potential to perpetuate societal problems and add new risks. This essay outlines the use cases of Blockchain technology for the humanitarian and development sectors and reflects on potentials and pitfalls that come with the adaptation of this new technology.

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Section: Concerns and Limitationsmentioning

confidence: 99%

Blockchain for humanitarian action and development aid

Zwitter¹,

Boisse-Despiaux²

2018

Int J Humanitarian Action

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“…1) Satellite imagery: Satellite imagery provides quantitative and qualitative data for disaster management which can help to conduction management operation as well as risk reduction. It can be frequently used for assessing the condition of post-disaster [18]. The major contribution of remote sensing such as high resolution, multi-technical and dimensional imagery that provides support for planning pre and post-disaster assessment.…”

Section: A Big Data Sourcesmentioning

confidence: 99%

“…6) Spatial data: Spatial data is helpful for disaster management especially for vulnerability assessment and prediction of natural hazards. Tomaszewski et al [18] conducted a study on geographic information systems (GIS) and mentioned that GIS data such as FEMA, data feeds, World Bank data, national as well as open street map is helpful for disaster management. Spatial data is frequently used for disaster resilience in the developing countries.…”

Section: ) Simulation Datamentioning

confidence: 99%

“…But sometimes natural disaster disrupts the electricity connection which causes an interruption of getting mobile phone services in disaster-affected places. Mobile-based GPS (Global Positioning System) is a vital way to collect mobile-based sensing data for the detection of people's behavior and movement at the time of natural disasters [18]. It helps to get real-time data of disasters regarding the human reaction to the effect of natural disasters as well as warning and evacuation process [12].…”

Section: ) Crowdsourcingmentioning

confidence: 99%

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Climate Change Adaptation and Resilience through Big Data

Sarker¹,

Yang²,

Lv³

et al. 2020

IJACSA

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The adverse effect of climate change is gradually increasing all over the world and developing countries are more sufferer. The potential of big data can be an effective tool to make an appropriate adaptation strategy and enhance the resilience of the people. This study aims to explore the potential of big data for taking proper strategy against climate change effects as well as enhance people's resilience in the face of the adverse effect of climate change. A systematic literature review has been conducted in the last ten years of existing kinds of literature. This study argues that resilience is a process of bounce back to the previous condition after facing any adverse effect. It also focuses on the integrated function of the adaptive, absorptive and transformative capacity of a social unit such as individual, community or state for facing any natural disaster. Big data technologies have the capacity to show the information regarding upcoming issues, current issues and recovery stages of the adverse effect of climate change. The findings of this study will enable policymakers and related stakeholders to take appropriate adaptation strategies for enhancing the resilience of the people of the affected areas. Keywords-Disaster resilience; administrative resilience; community resilience; disaster management; environmental managementAs a new paradigm, a big data approach is considered as the most effective method for taking quick and effective decisions [9]. It can analyze the huge amount of data obtained from various sources such as weather data, social media, electronic and print media, non-governmental organizations, voluntary community organizations, and various social networking sites. Big data provides a big opportunity for communication which can help susceptible community people about an upcoming threat, challenges, risks and disasters [10]. Communication provides a way to communicate with each other before, during and after a disaster to inform the condition to one another and make preparation and also acts as a source of big data [11]. Big data encourage researchers and policymakers to conduct an in-depth analysis of communication data from a mobile phone, social media and other communication devices which has big rationality for disaster resilience.

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“…The introduction of certain technological solutions to security problems may well rely on oversimplifications of humanitarian challenges, thereby ignoring the complex environments in which humanitarians operate (see Abdelnour and Saeed 2014). Beyond practical questions as the legal and operational consequences of using humanitarian technologies (Meier 2011;Qadir et al 2016), there are more fundamental problems with viewing a technological solution as the application of a neutral "fix" for a variety of problems (Jacobsen 2015).…”

Section: Theorymentioning

confidence: 99%

Practices and consequences of using humanitarian technologies in volatile aid settings

Kalkman

2018

Int J Humanitarian Action

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This article presents the results of an exploratory study into aid agencies' use of technologies for security purposes. Since there appears to be a consensus in the aid sector that areas of operations are increasingly dangerous, aid agencies are upgrading their security strategies by adopting technological innovations. I conducted Skype interviews with security managers and country directors responsible for operations in dangerous countries. These interviews show that humanitarian technologies are more and more used in volatile countries for security reasons. In this light, I empirically assess the critique of some academics (1) that risks are not mitigated but transferred to more vulnerable actors, (2) that technology is not a neutral fix but has local political repercussions, and (3) that international and national aid workers grow increasingly distant from their local counterparts and the people they aim to help. This article contributes to the literature by critically re-evaluating and nuancing these critiques.

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Crisis analytics: big data-driven crisis response

Cited by 116 publications

References 36 publications

Blockchain for humanitarian action and development aid

Blockchain for humanitarian action and development aid

Climate Change Adaptation and Resilience through Big Data

Practices and consequences of using humanitarian technologies in volatile aid settings

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