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An Integrated Crowdsourced Framework for Disaster Relief Distribution

Timothy Schempp Et Al.
2021 Zenodo  
This paper outlines our ongoing efforts at building an effective disaster relief system utilizing real-time, crowdsourced responses to disaster events.  ...  This system integrates three components: social media analysis, rescue demand prediction, and relief distribution optimization.  ...  help managers to make efficient decisions for the relief infrastructure distribution and finally integrate them to construct a practical disaster relief system (DRS).  ... 
doi:10.5281/zenodo.5106059 fatcat:k4dh4fmtpfa2zafwp6lffzm52q

Democratizing mobile app development for disaster management

Fuming Shih, Oshani Seneviratne, Ilaria Liccardi, Evan Patton, Patrick Meier, Carlos Castillo
2013 Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities - AIIP '13  
We will leverage several technologies to develop this application framework, namely (i) Linked Data principles for structured data, (ii) existing data sources and ontologies for disaster management, and  ...  The ubiquity of handheld computing technology has been found to be especially useful in disaster management and relief operations.  ...  / technical volunteers have developed useful mobile applications for disaster reliefs.  ... 
doi:10.1145/2516911.2516915 dblp:conf/ijcai/ShihSLPMC13 fatcat:hedftiokpzczrcuohlbgfns3ji

Scalable crisis relief

Vaughn Hester, Aaron Shaw, Lukas Biewald
2010 Proceedings of the First ACM Symposium on Computing for Development - ACM DEV '10  
Crowdsourced crisis response harnesses distributed networks of humans in combination with information and communication technology (ICT) to create scalable, flexible and rapid communication systems that  ...  We find that CrowdFlower's most significant contribution to Mission 4636 and to the broader field of crowdsourced crisis relief lies in the flexible, scalable nature of the pool of earthquake survivors  ...  The authors are grateful for the support and collaboration of everyone at CrowdFlower and the participating organizations in Mission 4636.  ... 
doi:10.1145/1926180.1926199 dblp:conf/dev/HesterSB10 fatcat:y3gm3rdnwvd3pd4gzmnn2qpdha

Harnessing the power of crowdsourcing and Internet of Things in disaster response

Shuihua Han, Hu Huang, Zongwei Luo, Cyril Foropon
2018 Annals of Operations Research  
few studies have considered the integration of both crowdsourcing and internet of things in order to link them with disaster response.  ...  Crowdsourcing and Internet of Things (IoT) are gaining more and more attention both in industry and academia in order to explore their effects on disaster relief.  ...  New Century Excellent Talents in University (NCET-12-0321) and the Fundamental Research Funds for the Central Universities (No. 20720151004).  ... 
doi:10.1007/s10479-018-2884-1 fatcat:6g5x3tik3fbuln5phwfsq24at4

What "Crowdsourcing" Obscures: Exposing the Dynamics of Connected Crowd Work during Disaster [article]

Kate Starbird
2012 arXiv   pre-print
exposing a need for future research towards a framework for understanding crowd work.  ...  The paper then attempts to characterize several examples of crowd work during disasters using current definitions of crowdsourcing and existing models for human computation and collective intelligence,  ...  The Disaster Relief 2.0 Report also used that term-28 times-to characterize the activities of digital volunteer groups during that event.  ... 
arXiv:1204.3342v1 fatcat:u6c6uyfhy5e57mltkjjuq7rn2a

Analytics and Evolving Landscape of Machine Learning for Emergency Response [chapter]

Rajendra Akerkar Minsung Hong
2019 Zenodo  
In particular, this chapter also focuses on crowdsourcing approaches with machine learning to achieve better understanding and decision support during a disaster, and we discusses the issues on the approaches  ...  The purpose of this chapter is to discuss a hybrid crowdsourcing and real-time ma- chine learning approaches to rapidly process large volumes of data for emergency response in a time-sensitive manner.We  ...  Acknowledgements The work is funded from the Research Council of Norway (RCN) and the Norwegian Centre for International Cooperation in Education (SiU) grant through INT-PART programme.  ... 
doi:10.5281/zenodo.5106014 fatcat:ui7kmryflbaljkim4u2ync2dqi

Big Data in Natural Disaster Management: A Review

Manzhu Yu, Chaowei Yang, Yun Li
2018 Geosciences  
Undoubtedly, the age of big data has opened new options for natural disaster management, primarily because of the varied possibilities it provides in visualizing, analyzing, and predicting natural disasters  ...  ecosystem of Big Data to monitor and detect natural hazards, mitigate their effects, assist in relief efforts, and contribute to the recovery and reconstruction processes.  ...  Acknowledgments: We thank the anonymous reviewers for their insightful comments, which significantly improved the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/geosciences8050165 fatcat:yucms6qo7nht5krjmnrwrkzy2y

Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review

Srimal Samansiri, Terrence Fernando, Bingunath Ingirige
2022 Water  
solutions that can be used for offering such intelligence.  ...  This paper presents the outcome of a literature review that was conducted to identify the types and sources of the intelligence required for flood warning and response processes as well as the technology  ...  International Grant, EP/PO28543/1, entitled "A Collaborative Multi-Agency Platform for Building Resilient Communities".  ... 
doi:10.3390/w14132091 fatcat:nsm5m6af4nhq7iv6o3mflf5xly

Providing real-time assistance in disaster relief by leveraging crowdsourcing power

Dingqi Yang, Daqing Zhang, Korbinian Frank, Patrick Robertson, Edel Jennings, Mark Roddy, Michael Lichtenstern
2014 Personal and Ubiquitous Computing  
Crowdsourcing platforms for disaster management have drawn a lot of attention in recent years due to their efficiency in disaster relief tasks, especially for disaster data collection and analysis.  ...  In this paper, aiming at efficiently harnessing crowdsourcing power to provide those on-site rescue staff with real-time remote assistance, we design and develop a crowdsourcing disaster support platform  ...  The authors would also like to thank the editors and reviewers for the valuable comments and suggestions.  ... 
doi:10.1007/s00779-014-0758-3 fatcat:z3suivsyrvdqjoivjimg62vaja

A Big Data Reference Architecture for Emergency Management

Carlos A. Iglesias, Alfredo Favenza, Álvaro Carrera
2020 Information  
for solving similar problems.  ...  Despite this, the full potential of combining automatic big data processing and digital humanitarianism approaches has not been fully realized, though there is an initial body of research.  ...  The big data framework provider provides data facilities (MongoDB) and task distribution (Hadoop). The case study uses neither an orchestrator component nor a management fabric.  ... 
doi:10.3390/info11120569 fatcat:kxostcrulbh7lpnd3qehl7h2by

Integrating Global Open Geo-Information for Major Disaster Assessment: A Case Study of the Myanmar Flood

Suju Li, Yan Cui, Ming Liu, Haixia He, Shirish Ravan
2017 ISPRS International Journal of Geo-Information  
assessment following an emergency response).  ...  Geo-information drawn from various sources at multi spatial-temporal scales can be used for disaster assessments through a synthesis of hazard, exposure, and post disaster information based on pertinent  ...  Figure 1 . 1 Geo-information Integration Framework for Disaster Assessment. Figure 1 . 1 Geo-information Integration Framework for Disaster Assessment.  ... 
doi:10.3390/ijgi6070201 fatcat:qgvspio4ebe7zood2trbgubjvu

Crowdtasking: Field Study on a Crowdsourcing Alternative

Daniel Auferbauer, Roman Ganhör, Hilda Tellioglu, Jasmin Pielorz
2016 International Conference on Information Systems for Crisis Response and Management  
In this paper we elaborate on the concept of crowdtasking as a form of crowdsourcing.  ...  The analysis of the records and the conducted interviews give new insights and ideas for further development.  ...  ACKNOWLEDGEMENTS RE:ACTA has been funded by the Austrian security research programme KIRAS of the Federal Ministry for Transport, Innovation and Technology (bmvit).  ... 
dblp:conf/iscram/AuferbauerGTP16 fatcat:3rvzrq675fhrjofgy5poo7d2qm

Maximizing benefits from crowdsourced data

Geoffrey Barbier, Reza Zafarani, Huiji Gao, Gabriel Fung, Huan Liu
2012 Computational and mathematical organization theory  
be used for response-coordination when needed, and finally suggests related areas for future research.  ...  However, the crowdsourced data can hardly be used directly to yield usable information.  ...  This work, in particular, the content of Section 5, was inspired by and based on an ongoing project "ASU Coordination Tracker (ACT) for Disaster Relief".  ... 
doi:10.1007/s10588-012-9121-2 fatcat:eaxjzc2qajb3vpwiouk3qchgge

Big Data & Analytics for Societal Impact: Recent Research and Trends

Ashish Gupta, Amit Deokar, Lakshmi Iyer, Ramesh Sharda, Dave Schrader
2018 Information Systems Frontiers  
including crowdsourced data, which is then availed by disaster relief organizations to mobilize aid.  ...  Toward that end, researchers should bring to bear crowdsourcing research from other domains that can be extended and applied for disaster relief scenarios.  ... 
doi:10.1007/s10796-018-9846-7 fatcat:vwolxmky7jhzjnjwmjvhl2whqa

Internet of Things (IoTs) For Disaster Management

2018 Sukkur IBA Journal of Computing and Mathematical Sciences  
To date, the use of IoT in disaster administration is as yet an unexplored issue. The target of this paper is to concentrate the IoT-based proposition for disaster administration structure.  ...  The ordinary media transmission framework (e.g. a landline or cell system) might be either mostly or totally harmed by a catastrophe occurrence.  ...  With the help of crowdsourcing and data offloading mechanism, disaster relevant IoT information explored in CDFMC layer in an effective manner.  ... 
doi:10.30537/sjcms.v2i1.16 fatcat:i24bzc746jf7xkmri23ngoab6a
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