Abstract: This paper details the creation of a massive (over 32,000 messages) artificially constructed 'Twitter' microblog stream for a regional emergency preparedness functional exercise. By combining microblog conversion, manual production, and a control set, we created a web-based information stream providing valid, misleading, and irrelevant information to public information officers (PIOs) representing hospitals, fire departments, the local Red Cross, and city and county government officials. Addressing the challenges in constructing this corpus constitutes an important step in providing experimental evidence that complements observational study, necessary for designing effective social media tools for the emergency response setting. Preliminary results in the context of an emergency preparedness exercise suggest how social media can participate in the work practice of a PIO concerning the assessment of the disaster and the dissemination of information within the emergency response organization and to the public.

Abstract: Population preparedness plays a crucial role in disaster management since it can help reduce the number of victims and restrict damage. Nevertheless, little work has been done at a European level towards preparing populations to learn how to cope with disasters and involving them in the disaster management process. In this paper we present the preliminary results of an on-line emergency preparedness survey circulated among EU citizens, which aims to identify and analyse people?s behaviour in terms of preparedness, first reaction, risk awareness and willingness to engage in preparedness actions. Our preliminary analysis, based on over 1200 participants, indicates that although EU populations have a high capability for participation in emergency response, their preparedness level is low. We also found that national differences are a significant factor affecting individual preparedness behaviour and awareness of risks.

Abstract: Scenarios are frequently used in Emergency Planning and Preparedness. These scenarios are developed based on the hypothesis of occurrence or not of significant events. This is a complex process because of the interrelations between events. This fact, along with the uncertainty about the occurrence or non-occurrence of the events, makes the scenario generation process a challenging issue for emergency managers. In this work a new step-by-step model for clustering scenarios via cross-impact is proposed. The authors. proposal adds tools for detecting critical events and graphical representation to the previous scenario-generation methods based on Cross-Impact Analysis. Moreover, it allows working with large sets of events without using great computational infrastructures. These contributions are expected to be useful for supporting the analysis of critical events and risk assessment tasks in Emergency Planning and Preparedness. Operational issues and practical implications of the model are discussed by means of an example.

Abstract: Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel.

Abstract: This paper reports on the initial findings of the first phase of a study funded by San Jose State University, USA to provideinsightregardinghowpubliclibrariescanbe moreinvolvedincommunity-wide disasterplanning,strengtheningtheirroleascoremembersof theircommunities?disasterpreparedness and responseinfrastructure. The first phase of the study involves a nationwide survey of public library directors and library staff who are involved in coordinating disaster planning for their institutions. A survey was carried out during December 2014 and January 2015 to explorewhatpubliclibrariescanbringtocommunity-wideplanningefforts and thetypesofpartnershipsthatarepossible. The findingswillprovidelibraryleaderswithvaluableinsighton how to proactivelyengageindialogueandplanningwiththeirlocalemergencymanagement community. The second phase emerging from the research will involve follow-up in-depth explorations of the exemplary disaster planning models.

Abstract: The purpose of this paper is to outline the requirement for data-driven methods for determining optimal geographic locations of United States Department of Defense (DOD) Humanitarian Assistance (HA) resources, including disaster mitigation and preparedness projects. HA project managers and tactical implementers charged with cost-efficient deployment of HA resources are challenged to produce measurable effects, in addition to contributing to broader Joint and Interagency-informed security assistance strategies. To address these issues, our ongoing research advocates geospatial multi-criteria site suitability decision support capabilities that leverage 1) existing geospatial resource location-allocation methodology as applied in government, retail, and commercial sectors; 2) user-generated criteria and objective preferences applied in widely-used decision frameworks; 3) assessments of the feasibility of obtaining data at a geographic scale where DOD tactical/operational level users can benefit from the model outputs; and 4) social science theory related to the HA domain criteria that form the foundation of potential decision models.

Abstract: An emergency plan is an important artifact used throughout emergencies. Therefore, it is crucial that this plan covers the different scenarios faced by emergency team and that the prescribed procedures generate the desired results. To achieve these goals, emergency plans need to be exhaustively tested prior to its adoption. Emergency teams usually use simulation to test plans, but it is an expensive approach, demanding the building of complex environments and tools to get realistic situations. To be ready to go through a simulation exercise, a plan should not have many or critical mistakes, otherwise the simulation exercise would be wasted. We present a paired approach to evaluate emergency plans before simulation exercises, by applying software engineering testing techniques: Formal technical review (FTR) and mutation testing. The expected result is a plan more ready to go through simulation, as many of the mistakes are eliminated prior to simulation.

Abstract: For the Science and Technology Directorate (S&T) of the U. S. Department of Homeland Security, we developed agent-based computer simulation models of mass egress from a stadium and a subway station following one or more attacks with Improvised Explosive Devices (IEDs.) Anti-IED countermeasures we modeled included improved guidance to exits, baffles to absorb shock and shrapnel, and, for the stadium, egress onto the playing field. We found improved real-time information systems that provide better guidance to exits would substantially expedite egress and could reduce secondary (trampling and crush) casualties. Our results indicate that models like these can be useful aids to selecting countermeasures, and for training, preparation and exercises. We also discuss the unusual problems such models pose for real-time event management and for validation and evaluation.

Abstract: One of the most important and costly aspects of recovery operations is debris collection and disposal. The unique nature of disaster debris and the extreme amounts generated as a result of the disaster event create challenges for decision makers that are not typically encountered during every day solid-waste disposal operations. This work-in-progress research is aimed at identifying the unique aspects of disaster debris disposal and the need for decision support, which addresses these unique aspects, to assist emergency management coordinators with allocating resources during on-going debris cleanup operations. We will present a decision support system framework, discuss aspects of the knowledge base, model base, and user interface, and show how an emergency management coordinator might use the system during ongoing daily operations using real-world data from a 2003 Atlantic hurricane.

Abstract: This practitioner paper outlines some of the benefits for the use of social media, from the perspective of a local-level or county-level emergency manager (EM). As compared to state and national level emergency management, because local level EMs have limited manpower and resources, social media can positively or negatively impact the effectiveness of communication before, during and after disaster strikes. Outlined in this paper are six key points where local EMs have specific needs that could be addressed by the effective use of social media and, in the opinion of the authors, represent the top issues that EMs face when considering how to leverage Twitter, Facebook, YouTube, Instagram and other social media platforms. The six needs addressed in this paper include: 1) Best practices for general social media use by EMs, 2) Social media use for internal command and control within the EM group, 3) Developing situation awareness by monitoring social media, especially prior to predicable events, 4) Communicating disaster preparedness messages through social media, 5)Using social media for gathering damage assessment information during, or immediately following a crisis,and 6) Leveraging social media volunteer groups. This short paper picks up where the Federal Emergency Management Agency's social media training leaves off and attempts to represent these six needs as use cases for researchers and developers to address in future publications and products.

Abstract: The larger the scale, scope, and duration of a disaster, the higher is the number of response units. However, with more units involved in the response also the heterogeneity of responder units drastically increases in terms of capabilities, experiences, practices, techniques, tactics, and procedures. As a result, the coordination and overall management of the response becomes an increasingly challenging endeavor. In the response to the 2014 Oso/SR530 landslide disaster in Washington State over one hundred agencies were involved, which presented a huge coordination task for the incident command. This empirical study is exploratory and focuses on the activities and interactions of professional responders, particularly, in the early phases of the response. It amends and complements previous studies on the subject by identifying and describing in detail various challenges in the early response. It also discusses recommendations on how to tackle and potentially mitigate the challenges identified in future responses.

Abstract: Planning processes, including simulations and games, can help emergency workers to prepare for the unexpected. Rehearsal using software based gaming techniques not only helps planning, but is also cost effective. Computer-based groupware systems can make experts available regardless of location. A new approach, Virtual Simulation (VS), uses networking to create a flexible learning and planning environment. To date two prototype trials of this approach have been implemented at NJIT with major revamps between each one. This paper gives the results of the latest prototype trial, a simulation of attacks on university computer centers. The insights from this second prototype trial of virtual simulation will help us to improve the design and approach for future offerings.