Communicating throughout Katrina: Competing and Complementary Conceptual Lenses on Crisis Communication

Garnett, James L.; Kouzmin, Alexander

doi:10.1111/j.1540-6210.2007.00826.x

Cited by 130 publications

(128 citation statements)

References 47 publications

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“…However, landlinebased systems are vulnerable in catastrophic events, as seen in this case and the aftermath of Hurricane Katrina in the United States of America. 10 Therefore, a disease surveillance system based on mobile phones is not only a good choice for countries with poor infrastructure but could also be used as a viable backup method for countries with internet-based electronic surveillance systems. As far as we know, the reporting system described in this paper is the only case in which mobile phones have been systematically used in disease surveillance after a major natural disaster.…”

Section: Discussionmentioning

confidence: 99%

Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

Yang

Luo

et al. 2009

Bull World Health Org

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Section: Discussionmentioning

confidence: 99%

Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

Yang

Luo

et al. 2009

Bull World Health Org

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“…There have been studies on corporate crisis communication [6,16,52], government crisis communication during natural disasters, such as the 2005 Hurricane Katrina [24] and the 2008 Sichuan earthquake [13], and factors influencing government transparency in non-crisis situations has been examined [7,9,11,22,35,47]. However, there is little research investigating the potential role of government transparency in crisis communication in influencing national and/or international public opinions during an enfolding aviation disaster.…”

Section: Introductionmentioning

confidence: 99%

Goal-Driven Context-Aware Data Filtering in IoT-Based Systems

Narendra

Ponnalagu

Ghose

et al. 2015

2015 IEEE 18th International Conference on Intelligent Transportation Systems

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One of the crucial research issues in an IoT-based system is how to manage the huge amount of data transmitted by the potentially large number of sensors that form the system. Prior research has focused on centralized cloud-based 'Big Data' architectures for collecting, collating and analyzing the data. However, most of these scenarios accumulate thousands of petabytes in a short period of time, increasing the demand for more storage, and also slowing down speed of data analysis. Hence for real-time scenarios, e.g., agricultural crop tracking, traffic management, etc., such an approach would be impractical. Moreover, depending on the context in which the data is generated and is to be used, only a fraction of the data would be needed for analysis. Therefore, the challenges are to determine which data to keep and which to discard for both short term and long term usage, and define the contextual parameters along which this filtering is to be done. Hence one key problem addressed in this paper is how to define what data the user needs so that filtering algorithms can be defined to extract the data needed. To that end, in this paper, we present a goal driven, context-aware data filtering, transforming and integration approach for IoT-based systems. We propose a data warehousebased data model for specifying the data needed at particular levels of granularity and frequency, that drive data storage and representation (aligned with the Semantic Sensor Network ontology). Throughout our paper, we illustrate our ideas via a realistic running example in the smart city domain, with emphasis on traffic management, and also present a proof of concept prototype.

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“…115 With regard to the field of homeland security, "a growing body of scholarship attests to the crucial roles that communication plays in successful crisis management." 116 Generally, this is understood as a monologue (one-way) or dialogue (two-way). 128 Communication is an important leadership skill and basic tenet of organizational performance.…”

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confidence: 99%

Team Communication: The Social Identity Approach to Collaboration

Sedam¹

2015

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to ABSTRACT (maximum 200 words)This research applies the social identity approach to organizations and the public sector leaders who are instrumental in building the collaborative capacity of their respective groups. Collaboration at all levels of government and with the agencies within those levels of government has been elusive. Traditional studies on collaborative public management have focused on the need for collaboration and failures that occur without collaboration. Past studies in leadership communication have largely ignored the role of social identity in individual behavior. This research blends the social identity approach, collaborative public management, and leadership communication in order to alleviate these issues.The analysis of this research proposes that the social identity approach to organizational behavior gives insight into individual member behavior and thus the behavior of groups and the organization itself. Communication techniques are filtered through the social identity approach in order to identify those techniques that have the greatest chance of creating an identity that is more open to collaboration. Submitted in partial fulfillment of the requirements for the degree of SUBJECT TERMS MASTER OF ARTS IN SECURITY STUDIES (HOMELAND SECURITY AND DEFENSE)from the NAVAL POSTGRADUATE SCHOOL December 2015Author

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Communicating throughout Katrina: Competing and Complementary Conceptual Lenses on Crisis Communication

Cited by 130 publications

References 47 publications

Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

Goal-Driven Context-Aware Data Filtering in IoT-Based Systems

Team Communication: The Social Identity Approach to Collaboration

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