Export file:


  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text


  • Citation Only
  • Citation and Abstract

ADERSIM-IBM partnership in big data

1. Disaster & Emergency Management, York University Toronto, Ontario, M3J 1P3, Canada;
2. Department of Mathematics and Statistics, York University Toronto, Ontario, M3J 1P3, Canada

This short notes announces the recent development of the Advanced Disaster, Emergency and Rapid Response Simulation Initiative, in collaboration with IBM-Canada. Focus is on the Big Data analytics techniques and the IBM's Intelligent Operations Centre for Emergency Management platform.
  Article Metrics

Keywords Advanced emergency simulation; rapid response modeling; big data for emergency management; IBM-York collaboration

Citation: Ali Asgary, Jianhong Wu. ADERSIM-IBM partnership in big data. Big Data and Information Analytics, 2016, 1(4): 277-278. doi: 10.3934/bdia.2016010


  • [1] N. Y. Armonk, As Hurricane Season Approaches, IBM and The Weather Company Collaborate on Emergency Management for Cities, New IBM Intelligent Operations Center for Emergency Management Uses Real-time Weather Data to Help Communities Predict and Prepare for Disasters, 2015. Available from:http://www-03.ibm.com/press/us/en/pressrelease/47160.wss.
  • [2] J. Huang, A. Asgary and J. Wu, Advanced disaster, emergency and rapid response simulation (ADERSIM), Big Data and Information Analytics, 1(2016), v-v.
  • [3] A. Amaye, K. Neville, and A. Pope, BigPromises:using organisational mindfulness to integrate big data in emergency management decision making, Journal of Decision Systems, 25(2016), ISS.SUPl.
  • [4] Operational insight helps city leaders manage a safer, smarter city, Intelligent Operations Center for Smarter Cities, 2016. Available from:http://www-03.ibm.com/software/products/en/intelligent-operations-center.


Reader Comments

your name: *   your email: *  

Copyright Info: 2016, Ali Asgary, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved