Synapse Energy Economics has conducted structured interviews to better characterize the current landscape of resilience planning within and across jurisdictions. Synapse interviewed representatives of a diverse group of communities and their electric utilities. The resulting case studies span geographies and utility regulatory structures and represent a range of threats. They also vary in terms of population density and size. This report summarizes our approach and the findings gleaned from these conversations. All the communities and utilities we interviewed see increased interest in and commitment of resources for energy-related resilience. The risks and consequences these communities and utilities faced in the past, face now, and will face in the future drove them to improve engagement, advance processes, further decision-making, and in many cases invest in projects. While no process used by communities and utilities was the same, the different processes used by communities and utilities allowed each one to make progress in its own way. Several approaches are emerging that can provide good models for other communities and utilities with an interest in improving resilience.
project to support strategic planning for contingency contractors. The planning tool uses a model to optimize the Total Force mix by minimizing the combined total costs for the selected mission scenarios. The model will optimize the match of personnel groups (military, DoD civilian, and contractors) and capabilities to meet the mission requirements as effectively as possible, based on risk, cost, and other requirements.
The Intelligent Transportation Systems (ITS) program is the application of information technologies (computing, sensing, and communications) to surface transportation. Because of a reliance on these technologies, ITS will become increasingly dependent on information security. By understanding how to achieve and maintain secure systems, the ITS community can develop comprehensive information security practices and appropriate security policies for ITS programs. Subsequently, they can put these into practice. This document presents the results from an information security analysis that was based on the National ITS Architecture. The ITS information security analysis comprised three assessments to identify and characterize the various threats to (1) the ITS subsystems, (2) their exchange of information, and (3) their supporting communications infrastructure. The assessments also provide recommended solutions (i.e., security services) that can be used to reduce or eliminate identified threats and to better protect ITS. While focusing on the threats and their impacts to ITS security, this report also provides necessary background information and a general understanding of information security. It addresses common information and general security issues as well as those that pertain specifically to ITS. The conclusions and recommendations from this report address increasing information security awareness within the ITS community, the development of secure ITS operations, and the issue of future security activities within the ITS domain.
When developing linear programming models, issues such as budget limitations, customer requirements, or licensing may preclude the use of commercial linear programming solvers. In such cases, one option is to use an open-source linear programming solver. A survey of linear programming tools was conducted to identify potential open-source solvers. From this survey, four open-source solvers were tested using a collection of linear programming test problems and the results were compared to IBM ILOG CPLEX Optimizer (CPLEX) [1], an industry standard. The solvers considered were: COIN-OR Linear Programming (CLP) [2], [3], GNU Linear Programming Kit (GLPK) [4], lp_solve [5] and Modular In-core Nonlinear Optimization System (MINOS) [6]. As no open-source solver outperforms CPLEX, this study demonstrates the power of commercial linear programming software. CLP was found to be the top performing open-source solver considered in terms of capability and speed. GLPK also performed well but cannot match the speed of CLP or CPLEX. lp_solve and MINOS were considerably slower and encountered issues when solving several test problems.
Purpose Wellbeing at work inspires global interest (WHO, 1997, 2010) which shapes international wellbeing whilst ensuring national wellbeing initiatives are devolved. This study is set in Wales, UK; the findings, however, are of interest to the global community as they present ways in which health promotion practices that are essentially salutogenic in nature (Antonovsky, 1987; Mittlemark and Bauer, 2017), may be operationalised through leadership development. The study is contextualised during a time of perceived public service overwhelm, and the purpose of this paper is to explore how a salutogenic model (Gray, 2017) captures a leadership narrative shaped by workplace stress, informing what the authors know about the resilience and wellbeing of leaders. Design/methodology/approach The salutogenic model used in this exploratory study is based on the theories of Antonovsky (1979, 1987), and the conceptual work of De la Vega (2009). Participants were invited to take part in qualitative conversations, designed to explore leadership from a sense of coherence (SoC) perspective, and identify resilience and wellbeing descriptors across sectors. The data represented the lived experience of leader’s resilience and wellbeing within their work role. A purposeful sample of leaders ( N =356) were invited to take part in the project, others were suggested as part of a snowball sampling approach ( N =36). The overall participant numbers were N =68. Findings Using the SoC framework to explore resilience and wellbeing in terms of leadership, enabled participants to make sense of a stressful workplace environment, and share experiential knowledge that contributes to leadership development. The narrative that emerges is one in which leaders are feeling overwhelmed, and the broader influences of BREXIT, workforce and service user demographics, and organisational change are challenges to sustaining resilience. Participants suggest that leaders need to develop self-knowledge/awareness first, and role model the “resilient and well leader” to others. Research limitations/implications The limitations of this study relate to the fact that given the potential for participation was nearer 400 leaders, the N =68 participants could not be deemed large enough to generalise the findings. However, this was a scoping study exercise, designed to explore resilience and wellbeing through SoC conversations and to surface descriptors that would add to what the authors know about contemporary leadership. The study could be improved in the future by the collection of more descriptors, and where practical segmentation of descriptors may provide further insight in terms of comparison between professions/sectors. Practical implications The authors know that leadership is linked to positive and negative outcomes for employees; it is, therefore, prudent to consider how the authors can support both current and future leaders, to incorporate their own and others’ resilience and wellbeing into their leadership repertoire. This may well be best facilitated through health leadership which is known to have a positive association in determining the psychological climate of the workplace. Leadership authenticity means leaders should be able to ask for help, if leaders are struggling with that, then the authors need to examine leadership from a cultural perspective. In practical terms, the generalised resistance resources (GRRs) put forward by the participants may also form local as well as national wellbeing action plans for the future. Social implications Leadership is socially constructed within the organisational context, and the resilience and wellbeing of leaders is affected by the organisational health determinants in the working environment. If the authors are to consider how leaders are to develop an SoC for themselves and others, the authors need to attend to how the leader learns in the context. This is because their SoC is also shaped by the challenges they experience, and socio-constructed learning becomes neurologically embedded, so that ways of thinking, feeling and behaving are reinforced and exhibited over and over again. Originality/value This exploratory study demonstrates the efficacy of the salutogenic model to stimulate dialogue about a potentially sensitive subject. Many of the answers rest with the leaders themselves. The authors held conversations with leaders from the public services in Wales, identified “best self” and “peripheral” variables that leaders manifest across the various organisations they lead, and leaders produced a range of GRRs to support resilience and wellbeing across sectors in the future. There is a growing recognition that in terms of health leadership capability, there will be a premium on knowledge capital that pertains to improving the resilience and wellbeing of employees.
Most collisions between vehicles and pedestrians occur at night. This experiment quantified the ability of drivers to detect pedestrians at night. Ten younger (M=27.8 yrs) and ten older (M=67.9 yrs) participants drove an instrumented car ten laps around an unilluminated 1.1 mile test track. Drivers pressed a dash-mounted touchpad when they recognized the presence of a pedestrian. A computer-based system measured recognition distances by interpreting the parallax provided by two synchronized digital video cameras mounted on the car's roof. Two pedestrians walked in place at different positions on the far shoulder. One pedestrian was in darkness and one was positioned just beyond a stationary pair of headlights that was a source of glare for the approaching driver. Across laps, drivers used both low and high beams and pedestrians wore four different clothing configurations. The effects of age, glare, clothing, and beam all significantly influenced both pedestrian identification (all p
This Laboratory Directed Research and Development (LDRD) project focused on understanding the mathematical relationships that can be used in assessing the value of executing various EMP mitigation strategies on the grid. This is referred to as the EMP Resilient Grid Value Model. Because the range of mitigation strategies can contain widely differing characteristics (operational vs. technological), it is necessary to compute functions of many interrelated metrics at varying levels of fidelity that will be used to provide feedback as to the cost/benefit relationship of any proposed strategy. The value model is a hierarchical decomposition of a system of systems (SoS) model down to a grid circuit model. The model is intended to be suitable for use in subsequent decision support optimization for resilience to EMP events. The metric set goes beyond direct, technical impacts on the electrical grid to include ancillary impacts on dependent infrastructure and enterprise concerns (water, DoD, transportation, etc.).
In response to the expansion of nuclear fuel cycle (NFC) activities -- and the associated suite of risks -- around the world, this project evaluated systems-based solutions for managing such risk complexity in multimodal and multi-jurisdictional international spent nuclear fuel (SNF) transportation. By better understanding systemic risks in SNF transportation, developing SNF transportation risk assessment frameworks, and evaluating these systems-based risk assessment frameworks, this research illustrated interdependency between safety, security, and safeguards risks is inherent in NFC activities and can go unidentified when each "S" is independently evaluated. Two novel system-theoretic analysis techniques -- dynamic probabilistic risk assessment (DPRA) and system-theoretic process analysis (STPA) -- provide integrated "3S" analysis to address these interdependencies and the research results suggest a need -- and provide a way -- to reprioritize United States engagement efforts to reduce global nuclear risks. Lastly, this research identifies areas where Sandia National Laboratories can spearhead technical advances to reduce global nuclear dangers.
This white paper makes a case for Sandia National Laboratories investments in complex adaptive systems science and technology (S&T) -- investments that could enable higher-value-added and more-robustly-engineered solutions to challenges of importance to Sandia's national security mission and to the nation. Complex adaptive systems are ubiquitous in Sandia's national security mission areas. We often ignore the adaptive complexity of these systems by narrowing our 'aperture of concern' to systems or subsystems with a limited range of function exposed to a limited range of environments over limited periods of time. But by widening our aperture of concern we could increase our impact considerably. To do so, the science and technology of complex adaptive systems must mature considerably. Despite an explosion of interest outside of Sandia, however, that science and technology is still in its youth. What has been missing is contact with real (rather than model) systems and real domain-area detail. With its center-of-gravity as an engineering laboratory, Sandia's has made considerable progress applying existing science and technology to real complex adaptive systems. It has focused much less, however, on advancing the science and technology itself. But its close contact with real systems and real domain-area detail represents a powerful strength with which to help complex adaptive systems science and technology mature. Sandia is thus both a prime beneficiary of, as well as potentially a prime contributor to, complex adaptive systems science and technology. Building a productive program in complex adaptive systems science and technology at Sandia will not be trivial, but a credible path can be envisioned: in the short run, continue to apply existing science and technology to real domain-area complex adaptive systems; in the medium run, jump-start the creation of new science and technology capability through Sandia's Laboratory Directed Research and Development program; and in the long run, inculcate an awareness at the Department of Energy of the importance of supporting complex adaptive systems science through its Office of Science.
