Research Article
A Web-Based Task-Tracking Collaboration System for the Florida Public Hurricane Loss Model
@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
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.