empathi: An ontology for Emergency Managing and Planning about Hazard Crisis

In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. It requires capturing and integrating information from sources such as satellite images, local sensors and social media content generated by local people. A bold obstacle to capturing, representing and integrating such heterogeneous and diverse information is lack of a proper ontology which properly conceptualizes this domain, aggregates and unifies datasets. Thus, in this paper, we introduce empathi ontology which conceptualizes the core concepts concerning with the domain of emergency managing and planning of hazard crises. Although empathi has a coarse-grained view, it considers the necessary concepts and relations being essential in this domain. This ontology is available at https://w3id.org/empathi/

Identifying Crisis Response Communities in Online Social Networks for Compound Disasters: The Case of Hurricane Laura and Covid-19

Online social networks allow different agencies and the public to interact and share the underlying risks and protective actions during major disasters. This study revealed such crisis communication patterns during hurricane Laura compounded by the COVID-19 pandemic. Laura was one of the strongest (Category 4) hurricanes on record to make landfall in Cameron, Louisiana. Using the Application Programming Interface (API), this study utilizes large-scale social media data obtained from Twitter through the recently released academic track that provides complete and unbiased observations. The data captured publicly available tweets shared by active Twitter users from the vulnerable areas threatened by Laura. Online social networks were based on user influence feature ( mentions or tags) that allows notifying other users while posting a tweet. Using network science theories and advanced community detection algorithms, the study split these networks into twenty-one components of various sizes, the largest of which contained eight well-defined communities. Several natural language processing techniques (i.e., word clouds, bigrams, topic modeling) were applied to the tweets shared by the users in these communities to observe their risk-taking or risk-averse behavior during a major compounding crisis. Social media accounts of local news media, radio, universities, and popular sports pages were among those who involved heavily and interacted closely with local residents. In contrast, emergency management and planning units in the area engaged less with the public. The findings of this study provide novel insights into the design of efficient social media communication guidelines to respond better in future disasters

Climate change adaptation in the boardroom

Abstract Climate adaptation is recognised by many of the world’s largest businesses as a global risk and one that requires critical attention. The World Economic Forum’s 2013 Global Risks Perception Survey, identified the ‘failure of climate change adaptation and rising greenhouse gas emissions as among those global risks considered to be the most likely to materialize within a decade’ (p.16). Yet despite action by many transnationals and international firms, it seems evident that most Australian companies appear to be struggling to move forward in responding to climate change impacts, apparently paralysed by short-term profit-first thinking, uncertain political risks and a corporate culture unused to volatility and disruption. Research approach This project set out to communicate adaptation to climate change to the “big end of town” and to gather soft data, acquire information and present issues back to the National Climate Change Adaptation Research Facility (NCCARF), the funder of this research. Our approach to the research challenge differed from a traditional technical, analytical or academic method. We used action-learning principles to engage a community in which we, as advisors to corporate Australia and as co-researchers, have social capital and standing. Through trusted information sharing networks, private closed-door meetings and one on one conversation with executives and senior management from over 100 companies we shared ideas, gathered, researched and refined information and tested our findings. Findings Our findings from the boardroom engagement include the following:   The Australian Government expects the private sector to adapt, yet little or no incentives exist to promote this behaviour. Autonomous adaptation as practiced may only benefit the lead actor while creating disbenefit for others (including other corporations, society and the environment). Market practices on current paradigms cannot be expected to meet greater societal adaptation needs. Further adaptation research is required in some areas to help guide shape and monitor adaptation for the private sector. A multiplicity of policy reform may be necessary, but crafting and implementing it is likely to remain beyond the capability of the Australian Public Service (APS) or individual Governments. Highly sophisticated mining, gas and some Asian owned technology companies are leading the way with many opportunities missed by Australian companies. Adaptation for the corporate sector is a key strategic issue, unlike mitigation and corporate social responsibility (CSR), as it benefits the corporate primarily. Insurance dependency may only be a short-term risk transfer mechanism as, in its current paradigm, it can mask risk, create a false sense of security and may impede adaptation.   Conclusion We hope that this report is of benefit to Australian organisations, policy makers, regulators and to researchers in adaptation science. This project shows that, on a whole, the Australian private sector is giving little consideration about the impacts climate change. This project has identified that considerable research gaps exist, but has also provided direction for organisations and researchers. Individual corporations and private sector peak bodies urgently need to explore the risks and opportunities that climate change and associated responses bring. This is especially so for the ICT, aviation, energy, insurance and finance sectors. Please cite this report as: Johnston, GS, Burton, DL, Baker-Jones, M, 2013 Climate Change Adaptation in the Boardroom National Climate Change Adaptation Research Facility, Gold Coast. pp. 81

The Use of Social Media in Emergency Management by Public Agencies and Non-Governmental Organizations: Lessons Learned From Areas Affected by Hurricanes Isaac, Sandy, and Harvey

Natural disasters are increasingly costly for the United States. The literature suggests emergency managers may improve disaster outcomes and enhance disaster resilience by supplementing their official public-communications methods with more bi-directional communication tactics using social media. This study aims to understand how social media is used within the “whole community” of emergency management in areas affected by recent hurricanes. The first research objective examines how social media is used by governmental and non-governmental organizations across the four phases of emergency management (preparedness, response, recovery, mitigation). The second objective is to identify challenges governmental and non-governmental groups have encountered and strategies they recommend addressing these problems. The third objective is to examine how social media was used by disaster responders specifically during the response phase of Hurricane Harvey in 2017. We conducted a survey of 269 organizations in areas affected by Hurricanes Isaac and Sandy in 2012 to address research objectives one and two, and for the third objective, surveyed 64 organizations who contributed to the rescue and response efforts during Hurricane Harvey. The first survey found respondents representing government-related organizations use social media more during the response and the preparedness phases, while non-governmental groups report more social media activity during the recovery phase. This finding suggests that organizations performing primary and secondary roles in emergency management play complementary roles in risk and crisis communication with the public. The results also suggest that the emergency management community primarily uses social media to “push” information to the public through established communication networks and could benefit from additional efforts to “pull” information from their networks. Survey respondents report greatest concern about challenges external to their organizations, with the accuracy of information found on social media to be most concerning. The third research objective finds generally high levels of social media use among Hurricane Harvey responders, but also evidence of technical challenges including an inability to convert web-based communications to dispatchable missions due to limited functionality of their 911 systems. The results of the study provide insights regarding uses, challenges, and strategies to improve social media for the whole community of emergency management

Courting Disaster: An Analysis of Federal Government Twitter Usage during Hurricane Sandy Resulting in a Suggested Model for Future Disaster Response

abstract: ABSTRACT This dissertation examined how seven federal agencies utilized Twitter during a major natural disaster, Hurricane Sandy. Data collected included tweets between October 26-31, 2012 via TweetTracker, as well as federal social media policy doctrines and elite interviews, to discern patterns in the guidance provided to federal public information officers (PIOs). While scholarly research cites successful local and state government efforts utilizing social media to improve response efforts in a two-way communications interaction, no substantive research addresses social media’s role in crisis response capabilities at the federal level. This study contributes to the literature in three ways: it focuses solely on the use of social media by federal agencies in a crisis setting; it illuminates policy directives that often hamper federal crisis communication response efforts; and it suggests a proposed model that channels the flow of social media content for PIOs. This is especially important to the safety of the nation moving forward, since crises have increased. Additionally, Twitter was adopted only recently as an official communications tool in 2013. Prior to 2013, social media was applied informally and inconsistently. The findings of this study reveal a reliance upon a one-way, passive communication approach in social media federal policy directives, as well as vague guidelines in existing crisis communications models. Both dimensions are counter to risk management and crisis communication research, which embrace two-way interactivity with audiences and specific messaging that bolsters community engagement, which are vital to the role of the PIO. The resulting model enables the PIO to provide relevant information to key internal agencies and external audiences in response to a future crisis.Dissertation/ThesisCrisis Tweet Text and DataDoctoral Dissertation Mass Communication 201

SOCIAL NETWORK INFLUENCE ON RIDESHARING, DISASTER COMMUNICATIONS, AND COMMUNITY INTERACTIONS

The complex topology of real networks allows network agents to change their functional behavior. Conceptual and methodological developments in network analysis have furthered our understanding of the effects of interpersonal environment on normative social influence and social engagement. Social influence occurs when network agents change behavior being influenced by others in the social network and this takes place in a multitude of varying disciplines. The overarching goal of this thesis is to provide a holistic understanding and develop novel techniques to explore how individuals are socially influenced, both on-line and off-line, while making shared-trips, communicating risk during extreme weather, and interacting in respective communities. The notion of influence is captured by quantifying the network effects on such decision-making and characterizing how information is exchanged between network agents. The methodologies and findings presented in this thesis will benefit different stakeholders and practitioners to determine and implement targeted policies for various user groups in regular, special, and extreme events based on their social network characteristics, properties, activities, and interactions

Mathematical Modeling of Public Opinion using Traditional and Social Media

With the growth of the internet, data from text sources has become increasingly available to researchers in the form of online newspapers, journals, and blogs. This data presents a unique opportunity to analyze human opinions and behaviors without soliciting the public explicitly. In this research, I utilize newspaper articles and the social media service Twitter to infer self-reported public opinions and awareness of climate change. Climate change is one of the most important and heavily debated issues of our time, and analyzing large-scale text surrounding this issue reveals insights surrounding self-reported public opinion. First, I inquire about public discourse on both climate change and energy system vulnerability following two large hurricanes. I apply topic modeling techniques to a corpus of articles about each hurricane in order to determine how these topics were reported on in the post event news media. Next, I perform sentiment analysis on a large collection of data from Twitter using a previously developed tool called the hedonometer . I use this sentiment scoring technique to investigate how the Twitter community reports feeling about climate change. Finally, I generalize the sentiment analysis technique to many other topics of global importance, and compare to more traditional public opinion polling methods. I determine that since traditional public opinion polls have limited reach and high associated costs, text data from Twitter may be the future of public opinion polling

The Technology Crisis in US-based Emergency Management: Toward a Well-Connected Future

For many years, CI has tried to show the value of computational techniques for response to hazard events but has yet to see success outside of post-hoc analyses. Meanwhile, emergency management (EM) has been struggling to cope with the impact of computation. This duality wherein we know technology can be useful yet also complicates EM (and has not yet been fully integrated into EM) is what we dub the technology crisis in EM. To begin to address this crisis and revitalize CI, we argue that it is necessary to develop an inventory of what technologies EM is competent with and to design training that can extend that competency. This research reports a survey of EM Practitioners in the United States. We offer one of the first inventories of EM technologies and technological skills and identify how current EM technological integration issues are a crisis