Minimising flood risk accumulation through effective private and public sector engagement

Flooding is a global problem affecting both developing and developed countries. Academics and practitioners in climate science frequently argue that changing climatic conditions are likely to worsen the length and severity of these flood events, which will have catastrophic consequences to economies and social lives of communities world over. Whilst the overall consequences affecting many regions have been established, effective and efficient strategies to cope with the effects of flooding and building up resilience strategies have not properly evolved. This paper examines this issue by exploring effective strategies undertaken in partnerships between private and public stakeholders. The paper details two case studies conducted in a developed and a developing country to investigate what global strategies for coping and resilience to flooding have worked in practice. The two case studies: Cockermouth in Cumbria, UK and Patuakhali in Bangladesh provide interesting insights on how some of the strategies work within the chosen developed and developing country contexts. The case study findings are mapped against UNISDR’s ten-point checklist under the “Making Cities Resilient Campaign”. In conclusion the paper examines how these findings can be incorporated within city development plans to develop stakeholder capacity and capability and eventually build up resilient cities

Minimising flood risk accumulation through effective private and public sector engagement

Flooding is a global problem affecting both developing and developed countries. Academics and practitioners in climate science frequently argue that changing climatic conditions are likely to worsen the length and severity of these flood events, which will have catastrophic consequences to economies and social lives of communities world over. Whilst the overall consequences affecting many regions have been established, effective and efficient strategies to cope with the effects of flooding and building up resilience strategies have not properly evolved. This paper examines this issue by exploring effective strategies undertaken in partnerships between private and public stakeholders. The paper details two case studies conducted in a developed and a developing country to investigate what global strategies for coping and resilience to flooding have worked in practice. The two case studies: Cockermouth in Cumbria, UK and Patuakhali in Bangladesh provide interesting insights on how some of the strategies work within the chosen developed and developing country contexts. The case study findings are mapped against UNISDR’s ten-point checklist under the “Making Cities Resilient Campaign”. In conclusion the paper examines how these findings can be incorporated within city development plans to develop stakeholder capacity and capability and eventually build up resilient cities

New bid-ask spread estimators from daily high and low prices

Estimating trading costs in the absence of recorded data is a problem that continues to puzzle financial market researchers. We address this challenge by introducing two low frequency bid-ask spread estimators using daily high and low transaction prices. The range of mid-prices is an increasing function of the sampling interval, while the bid-ask spread and the relationship between trading direction and the mid-price are not constrained by it and are therefore independent. Monte Carlo simulations and data analysis from the equity and foreign exchange markets demonstrate that these models (especially SHL2) significantly out-perform the most widely used low-frequency estimators, such as those proposed in Corwin and Schultz (2012) and most recently in Abdi and Ronaldo (2017). Using real world data we show that one of our estimators (SHL2)’s root mean square error (RMSE) is almost less than a half (even 20%) of the competitors. We illustrate how our models can be applied to deduce historical market liquidity in US, UK, Hong Kong and the Thai stock markets. Our estimator can also effectively act as a gauge for market volatility and as a measure of liquidity risk in asset pricing

Bitcoin futures - what use are they?

Early analysis of Bitcoin concluded that it did not meet the economic conditions to be classified as a currency. Since this conclusion, interest in Bitcoin has increased substantially. We investigate whether the introduction of futures trading in Bitcoin is able to resolve the issues that stopped Bitcoin from being considered a currency. Our analysis shows that spot volatility has increased following the appearance of futures contracts, that futures contracts are not an effective hedging instrument, and that price discovery is driven by uninformed investors in the spot market. We therefore argue that the conclusion that Bitcoin is a speculative asset rather than a currency is not altered by the introduction of futures trading

Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates

Many researchers who study the impact of computer-based assessment (CBA) focus on the affordances or complexities of CBA approaches in comparison to traditional assessment methods. This study examines how CBA approaches were configured within and between modules, and the impact of assessment design on students’ engagement, satisfaction, and pass rates. The analysis was conducted using a combination of longitudinal visualisations, correlational analysis, and fixed-effect models on 74 undergraduate modules and their 72,377 students. Our findings indicate that educators designed very different assessment strategies, which significantly influenced student engagement as measured by time spent in the virtual learning environment (VLE). Weekly analyses indicated that assessment activities were balanced with other learning activities, which suggests that educators tended to aim for a consistent workload when designing assessment strategies. Since most of the assessments were computer-based, students spent more time on the VLE during assessment weeks. By controlling for heterogeneity within and between modules, learning design could explain up to 69% of the variability in students’ time spent on the VLE. Furthermore, assessment activities were significantly related to pass rates, but no clear relation with satisfaction was found. Our findings highlight the importance of CBA and learning design to how students learn online

Transformative Community School Practices and Impacts: A Tale of Two Community Schools

Students are coming to school with myriad issues that teachers and schools cannot address alone. ecological systems theory posits that the environments with which a child comes into contact, either directly or indirectly, can impact her or his development (Bronfenbrenner, 1979). With the support of community partner organizations in the local community, community schools can effectively respond to students’ needs and help them navigate the interconnected web of environments. Through interviews, focus groups, and a document review, this cross-site case study explored the practices that are employed by community school leaders (school staff and employees of community partner organizations) at two pilot high schools in the Los Angeles Unified School District (LAUSD), to implement six guiding principles of community schools. The study also captured impacts of these practices through participants’ perceptions, documents, and the application of transformative leadership theory. The findings revealed that the pilot school model is a natural avenue for the community schools strategy, and that intentional practices and a shared vision by all stakeholders can result in transformative impacts on students and the school as a whole. District and school leaders could consider developing processes and systems for implementing a community schools strategy district-wide by providing funding for community school coordinators for school sites, working with school leaders to develop their shared decision-making skills, and leveraging the assets and resources of community partners

EVALUATING THE CYBER SECURITY IN THE INTERNET OF THINGS: SMART HOME VULNERABILITIES

The need for advanced cyber security measures and strategies is attributed to modern sophistication of cyber-attacks and intense media attention when attacks and breaches occur. In May 2014, a congressional report suggested that Americans used approximately 500 million Internet-capable devices at home, including, but not limited to Smartphones, tablets, and other Internet-connected devices, which run various unimpeded applications. Owing to this high level of connectivity, our home environment is not immune to the cyber-attack paradigm; rather, the home has evolved to become one of the most influenced markets where the Internet of Things has had extensive surfaces, vectors for attacks, and unanswered security concerns. Thus, the aim of the present research was to investigate behavioral heuristics of the Internet of Things by adopting an exploratory multiple case study approach. A controlled Internet of Things ecosystem was constructed consisting of real-life data observed during a typical life cycle of initial configuration and average use. The information obtained during the course of this study involved the systematic acquisition and analysis of Smart Home ecosystem link-layer protocol data units (PDUs). The methodology employed during this study involved a recursive multiple case study evaluation of the Smart Home ecosystem data-link layer PDUs and aligned the case studies to the existing Intrusion Kill Chain design model. The proposed solution emerging from the case studies builds the appropriate data collection template while concurrently developing a Security as a Service (SECaaS) capability to evaluate collected results

Synoptic Variability in Satellite Altimeter-Derived Radar Freeboard of Arctic Sea Ice

Satellite observations of sea ice freeboard are integral to the estimation of sea ice thickness. It is commonly assumed that radar pulses from satellite-mounted Ku-band altimeters penetrate through the snow and reflect from the snow-ice interface. We would therefore expect a negative correlation between snow accumulation and radar freeboard measurements, as increased snow loading weighs the ice floe down. In this study we produce daily resolution radar freeboard products from the CryoSat-2 and Sentinel-3 altimeters via a recently developed optimal interpolation scheme. We find statistically significant (p < 0.05) positive correlations between radar freeboard anomalies and modeled snow accumulation. This suggests that, in the period after snowfall, radar pulses are not scattering from the snow-ice interface as commonly assumed. Our results offer satellite-based evidence of winter Ku-band radar scattering above the snow-ice interface, violating a key assumption in sea ice thickness retrievals