Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Giving life to the map can save more lives. Wildfire scenario with interoperable simulations

Abstract. In the Mediterranean region, drier and hotter summers are leading to more likely and severe wildfires. The authors propose an innovative approach for situational awareness by giving life to maps and exploiting interoperable GIS, hazard models, simulations, and interconnection analysis processes aimed to enhance preparedness and strengthen the resilience of responding organizations. The information related to a virtual city and its countryside has been implemented in the terrain of simulation systems. The TIGER wildfire model software has been adapted to a scenario where districts, refugee camps and critical infrastructures can be impacted by a fire and has been linked to a smoke dispersion model, and associated impacts to the electricity network and roads. The transfer of computed fire propagation and combustion data to the AI-powered SWORD simulation enable more accurate computing of damage and loss. In SWORD, civil protection, military assets and humanitarian actions can be performed for training and operation preparation. The simulation data about fire and assets' deployments can feed a web app map or a command and control system, thus providing situational awareness for optimal decision-making, and analysis about people in danger, network interconnections and potential service disruption. Disaster managers and commanders can interact with simulated assets performing their chosen courses of action and analyse the outcomes.In conclusion, tests in a wildfire case study demonstrated a high level of interoperability among those systems and the possibility to provide updated situational awareness leading to better emergency preparedness and critical infrastructure resilience building, finally contributing to save more lives.</p

Risk factors and indicators for engagement in violent extremism

Research on terrorism is increasingly empirical and a number of significant advancements have been made. One such evolution is the emergent understanding of risk factors and indicators for engagement in violent extremism. Beyond contributing to academic knowledge, this has important real-world implications. Notably, the development of terrorism risk assessment tools, as well as behavioural threat assessment in counterterrorism. This thesis makes a unique contribution to the literature in two key ways. First, there is a general consensus that no single, stable profile of a terrorist exists. Relying on profiles of static risk factors to inform judgements of risk and/or threat may therefore be problematic, particularly given the observed multi- and equi-finality. One way forward may be to identify configurations of risk factors and tie these to the theorised causal mechanisms they speak to. Second, there has been little attempt to measure the prevalence of potential risk factors for violent extremism in a general population, i.e. base rates. Establishing general population base rates will help develop more scientifically rigorous putative risk factors, increase transparency in the provision of evidence, minimise potential bias in decision-making, improve risk communication, and allow for risk assessments based on Bayesian principles. This thesis consists of four empirical chapters. First, I inductively disaggregate dynamic person-exposure patterns (PEPs) of risk factors in 125 cases of lone-actor terrorism. Further analysis articulates four configurations of individual-level susceptibilities which interact differentially with situational, and exposure factors. The PEP typology ties patterns of risk factors to theorised causal mechanisms specified by a previously designed Risk Analysis Framework (RAF). This may be more stable grounds for risk assessment however than relying on the presence or absence of single factors. However, with no knowledge of base rates, the relevance of seemingly pertinent risk factors remains unclear. However, how to develop base rates is of equal concern. Hence, second, I develop the Base Rate Survey and compare two survey questioning designs, direct questioning and the Unmatched Count Technique (UCT). Under the conditions described, direct questioning yields the most appropriate estimates. Third, I compare the base rates generated via direct questioning to those observed across a sample of lone-actor terrorists. Lone-actor terrorists demonstrated more propensity, situational, and exposure risk factors, suggesting these offenders may differ from the general population in measurable ways. Finally, moving beyond examining the prevalence rates of single factors, I collect a second sample in order to model the relations among these risk factors as a complex, dynamic system. To do so, the Base Rate Survey: UK is distributed to a representative sample of 1,500 participants from the UK. I introduce psychometric network modelling to terrorism studies which visualises the interactions among risk factors as a complex system via network graphs

Collaborative Leadership Skills and Competencies in Emergency Management and Resilience: Lessons and Implications from the Response to the Covid-19 Pandemic

Collaborative leadership is a critical component in emergency management and resilience. Although cross-sector leadership is considered compulsory in the management of many disasters, the skills and competencies for successful execution of collaborative leadership approaches in emergency management and resilience are still largely unknown, especially as it pertains to the COVID-19 pandemic response. The perspectives of emergency management and resilience leaders may fill in this research gap. This qualitative study relies on semi-structured interviews to explore the needed skills and competencies for collaborative leadership in emergency management and resilience during the response to the COVID-19 pandemic in the South-Atlantic states. The study relies on Transformational Leadership and Integrative Public Leadership theories to answer the research questions. This study employs qualitative methodology to gain in-depth information of emergency management and resilience leaders’ stories. The researcher used a thematic analysis approach to categorize the identified skills and competencies from the literature and the generated themes from the qualitative data from interview participants. These findings contribute to public administration by broadening the leadership concept through the exploration of collaborative leadership skills and competencies in emergency management and resilience. State-level emergency management and resilience leaders are stewards of our health and safety, tax dollars, and trust, putting them at the center of scholarly conversations about the COVID-19 pandemic and building effective collaborative teams. The study has implications for practitioners and theorists alike

Decision-making between rationality and intuition: effectiveness conditions and solutions to enhance decision efficacy

Decision-making, one process, many theories: a multidisciplinary literature review. How individual and environmental factors interact and influence the effectiveness of strategic decisions through rational and intuitive dynamics. Mentoring and the promotion of self-confidence in decision-making: the role of cognitive awareness and expertise building through the lenses of rationality and intuition

COVID-19 Secure Guidance: Organizational Decision Making and Politics in a Public Health Crisis

23 March 2021, a year since the first “work from home” government instruction so as to rein the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in the United Kingdom. On 25 March 2020, the Coronavirus Act 2020 gained Royal Assent, came into law and it is a parliamentary consensus that the Act has beneficially enhanced the ability of public bodies to implement measures to save lives. In a commitment to continuously review the COVID-19 secure guidance that operationalizes the Act, the One Year Report on the Status on the Non-devolved Provisions of the Coronavirus Act 2020 was presented to Parliament in March 2021. In parallel response to the Government’s review of measures implemented to mitigate the impact of COVID-19, organizational theorists have investigated the management of compliance with these containment efforts. Bounded rationality, the classical rational choice critique, as espoused by Herbert A. Simon (1955), is a spurious penchant given its inadvertence of structural formulation. Primarily informed by a critical realist approach to the politics of organizational decision-making this article identifies limitations in rational choice theory, coupled with gender blind technological determinism, as insufficiently recognised determinants of compliance with COVID-19 secure workplace guidance

The Decisive Moment \u3ci\u3eThe Science of Decision Making under Stress\u3c/i\u3e

I n January 2009, US Airways Flight 1549 performed an emergency landing in the Hudson River after hitting a flock of birds and losing thrust in all engines. Decisions made by the pilot not to return to the airport of the flight\u27s origin or to attempt to land at surrounding airports, but instead to bring the aircraft down in the icy cold waters between New York City and New Jersey, saved all 155 people on board. A few years earlier, on September 11, 2001, another plane had flown down the Hudson River, this time intentionally crashing into the North Tower of the World Trade Center. Seventeen minutes later, hijackers flew a second plane into the upper floors of the South Tower. On that fateful morning, there were two other deliberate plane crashes, one into the Pentagon and the other into a field in Pennsylvania. People around the world watched intently as firefighters and other emergency responders made critical decisions in their efforts to rescue some 20,000 people thought to have been in the towers that day. Subsequently, in Afghanistan and Iraq, military commanders made life and death decisions on battlefields. Through the use of mass media, people around the world are often eyewitnesses in near real time to the decisive moment when leadership is on the line and critical decisions are made to adapt to the danger of extreme events. Those watching the decision makers have infinite time to second-guess after the fact, free of the stress and personal drama that surround these decisions