Impromptu crisis mapping to prioritize emergency response

To visualize post-emergency damage, a crisis-mapping system uses readily available semantic annotators, a machine-learning classifier to analyze relevant tweets, and interactive maps to rank extracted situational information. The system was validated against data from two recent disasters in Italy

Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System

People involved in mass emergencies increasingly publish information-rich contents in online social networks (OSNs), thus acting as a distributed and resilient network of human sensors. In this work, we present HERMES, a system designed to enrich the information spontaneously disclosed by OSN users in the aftermath of disasters. HERMES leverages a mixed data collection strategy, called hybrid crowdsensing, and state-of-the-art AI techniques. Evaluated in real-world emergencies, HERMES proved to increase: (i) the amount of the available damage information; (ii) the density (up to 7x) and the variety (up to 18x) of the retrieved geographic information; (iii) the geographic coverage (up to 30%) and granularity

Mining Social Media for Newsgathering: A Review

Social media is becoming an increasingly important data source for learning about breaking news and for following the latest developments of ongoing news. This is in part possible thanks to the existence of mobile devices, which allows anyone with access to the Internet to post updates from anywhere, leading in turn to a growing presence of citizen journalism. Consequently, social media has become a go-to resource for journalists during the process of newsgathering. Use of social media for newsgathering is however challenging, and suitable tools are needed in order to facilitate access to useful information for reporting. In this paper, we provide an overview of research in data mining and natural language processing for mining social media for newsgathering. We discuss five different areas that researchers have worked on to mitigate the challenges inherent to social media newsgathering: news discovery, curation of news, validation and verification of content, newsgathering dashboards, and other tasks. We outline the progress made so far in the field, summarise the current challenges as well as discuss future directions in the use of computational journalism to assist with social media newsgathering. This review is relevant to computer scientists researching news in social media as well as for interdisciplinary researchers interested in the intersection of computer science and journalism.Comment: Accepted for publication in Online Social Networks and Medi

A Study of the Diffusion of Innovations and Hurricane Response Communication in the U.S. Coast Guard

Hurricane Harvey (HH) is considered to be the first natural disaster where social-network applications to request help surpassed already overloaded 911 systems (Seetharaman & Wells, 2017). Increasing interpersonal connectivity via Facebook, Twitter, and other social media sites correspond to an increasing need for researchers and responders to recognize how people use social media platforms to connect, share, and receive information especially during times of crisis such as natural disasters. Heightened public perceptions and expectations of response efforts in the digital era make it especially important for first responders to evaluate, monitor, and adapt to these shifts in communication. Disaster-relief groups and emergency responders are looking for help to navigate in this new landscape in order to better serve their constituents and explore new, innovative ways to improve both their efficiency and their empathy. Emergency-response managers must act fast to prevent incorrect or misleading information from reaching the public. Some organizations are expressing interest in social media as a potentially cost-efficient way to disseminate information and official communication. However, as research has shown, innovations take time to diffuse (Rogers, 2003). In this thesis, I examined the diffusion of social media in the ways the U.S. Coast Guard (USCG) (first responder) and the public communicate during crises. Moreover, I examined facilitative and inhibitive factors shaping the diffusion of digital innovations within the USCG. I conclude that the pacing of the diffusion of social media among everyday users is incredibly rapid and, concurrently, is pressuring crisis communication systems like the USCG to quickly adopt these new innovations. I further conclude that Hurricane Harvey should function as a historical catalyst, a clarion call, that government agencies should incorporate social media and associated digital media to improve their future emergency response operations because lives will depend on it

Emergency operations plan

378 pp. Includes charts and figures. Published November, 2003. Captured April 3, 2008.The purpose of this Plan is to outline Deschutes County government responsibilities in response to emergency incidents and disasters. This Plan includes: 1. The emergency management Concept of Operations (Chapter 2). 2. The activation and management of the Emergency Operations Center (EOC) (Chapter 3 and EOC position checklists). 3. Plan Maintenance and Training (Chapter 4). 4. Functional Response Tabs (Tab Section). 5. Implementation Plan [From the Plan

A Grounded Theory of Patient Flow Management within the Emergency Department

Background: Emergency department (ED) crowding is an urgent threat to patient safety and negatively impacts healthcare staff and institutions. Patient flow researchers have employed a range of methods to address this crisis, including an increase in the use of operations research and operations management strategies. However, identified patient flow solutions are inadequate. Research describing the complexities of patient flow processes and investigating the work and contributions of ED nurses is needed. Purposes: The purposes of this study were to explore how ED nurses perform patient flow management and to develop a constructivist grounded theory of patient flow management within the ED. Methods: A conceptual foundation for patient flow management was first established using evolutionary concept analysis and expanded concept analysis approaches. This study then employed constructivist grounded theory and situational analysis methodologies to examine the work of ED nurses. Data was collected through 29 focus groups and interviews with 27 participants and 64 hours of participant observations across four EDs. Data analysis relied on coding, constant comparative analysis, and memo-writing to identify emergent themes and develop a substantive theory. Findings: Concept analyses defined patient flow management as the application of ED experience, holistic perspectives, dynamic data, and complex considerations of multiple priorities by ED nurses to promote patient safety within their scope of responsibility. The study offers three main contributions: a theoretical model of the work of ED patient flow management, a theoretical framework to describe holistic considerations of factors that impact departmental capacity and nurse engagement in patient flow management, and a grounded theory of patient flow management capacity and engagement that describes how ED nurses adapt patient flow management strategies according to patient burden. Conclusion: This study offers a new conceptual and theoretical foundation to understand the work of patient flow management. This novel perspective centralizes the work of ED nurses as active agents in patient flow processes and describes their strategies and contributions to meet patient care needs. Several practical considerations are offered to engage and support nurses in their roles as patient flow managers, improve patient flow processes, and further investigate ED nurse patient flow management