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Using Algorithms to Deliver Disaster Aid

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Keith KirkpatrickAuthors Info & Claims

Communications of the ACM, Volume 66, Issue 6

Pages 17 - 19

https://doi.org/10.1145/3591214

Published: 24 May 2023 Publication History

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Abstract

Ensuring the billions of dollars governments send the disaster-stricken actually get to their intended destinations.

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Ordonez CMacyna WBellatreche L(2024)Energy-Aware Analytics in the CloudProceedings of the International Workshop on Big Data in Emergent Distributed Environments10.1145/3663741.3664789(1-6)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3663741.3664789
Zaidman ASaadatmand MLonetti FBudnik CLi JGuerriero A(2024)An Inconvenient Truth in Software Engineering? The Environmental Impact of Testing Open Source Java ProjectsProceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024)10.1145/3644032.3644461(214-218)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3644032.3644461
Kshetri N(2024)The Environmental Impact of Artificial IntelligenceIT Professional10.1109/MITP.2024.339947126:3(9-13)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/MITP.2024.3399471

Index Terms

Using Algorithms to Deliver Disaster Aid
1. Computing methodologies
  1. Artificial intelligence
    1. Planning and scheduling
      1. Multi-agent planning
  2. Machine learning
    1. Machine learning algorithms

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Published In

Communications of the ACM Volume 66, Issue 6

June 2023

109 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/3599937

Editor:
James Larus
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 24 May 2023

Published in CACM Volume 66, Issue 6

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Cited By

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Ordonez CMacyna WBellatreche L(2024)Energy-Aware Analytics in the CloudProceedings of the International Workshop on Big Data in Emergent Distributed Environments10.1145/3663741.3664789(1-6)Online publication date: 9-Jun-2024
https://dl.acm.org/doi/10.1145/3663741.3664789
Zaidman ASaadatmand MLonetti FBudnik CLi JGuerriero A(2024)An Inconvenient Truth in Software Engineering? The Environmental Impact of Testing Open Source Java ProjectsProceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024)10.1145/3644032.3644461(214-218)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3644032.3644461
Kshetri N(2024)The Environmental Impact of Artificial IntelligenceIT Professional10.1109/MITP.2024.339947126:3(9-13)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/MITP.2024.3399471

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Recommendations

ICT and Disaster Management: A Study of the Social Media Use in 2015 Chennai City Floods

Decision Aid Models for Disaster Management and Emergencies

Improving Humanitarian Aid Information Management Workflow for Disaster Relief Team

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