10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2014.257662,
        author={Raul Garcia and Diana Machado and Hsin-Yu Ha and Yimin Yang and Shu-Ching Chen and Shahid Hamid},
        title={A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model},
        proceedings={10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2014},
        month={11},
        keywords={distributed data processing task-tracking workflow automation florida public hurricane loss model},
        doi={10.4108/icst.collaboratecom.2014.257662}
    }
    
  • Raul Garcia
    Diana Machado
    Hsin-Yu Ha
    Yimin Yang
    Shu-Ching Chen
    Shahid Hamid
    Year: 2014
    A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model
    COLLABORATECOM
    IEEE
    DOI: 10.4108/icst.collaboratecom.2014.257662
Raul Garcia1,*, Diana Machado1, Hsin-Yu Ha1, Yimin Yang1, Shu-Ching Chen1, Shahid Hamid1
  • 1: Florida International University
*Contact email: raul.garcia@cs.fiu.edu

Abstract

The Florida Public Hurricane Loss Model (FPHLM) is a large scale, multidisciplinary project developed to assist the state of Florida with the regulation of residential insurance premiums as they relate to insured losses caused by hurricane winds. The modeling services provided to clients using the FPHLM involve physically distributed personnel with different levels of technical expertise. Bringing together such a team to collaborate on the complex task of operating the FPHLM requires a centralized system to support the effective allocation of human resources, the tracking of the different stages of the data processing, and the exchange of information among team members and between the modeler and the clients. In this paper we present a web-based collaboration system that automates the FPHLM’s insurance data processing workflow.