Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.     

Has Opposition to Immigration Increased in the United States after the Economic Crisis? An Experimental Approach

We employ two population‐level experiments to accurately measure opposition to immigration before and after the economic crisis of 2008. Our design explicitly addresses social desirability bias, which is the tendency to give responses that are seen favorably by others and can lead to substantial underreporting of opposition to immigration. We find that overt opposition to immigration, expressed as support for a closed border, increases slightly after the crisis. However, once we account for social desirability bias, no significant increase remains. We conclude that the observed increase in anti‐immigration sentiment in the post‐crisis United States is attributable to greater expression of opposition rather than any underlying change in attitudes.     

Mobile communication and refugees: An analytical review of academic literature

Over the past decade, an expanding literature has explored the ways in which refugees rely on mobile communication technologies to stay in touch with a wider community and to access relevant information and services in their new places. Nevertheless, challenges linked to (a lack of) digital literacy and accessibility among refugees, and associated risks of technology use can negatively affect their empowerment and participation in a “mediatized” society. In light of the mutually shaping processes emerging between technology and society, this article provides an overview of studies focusing on the relationship between mobile communication practices and refugee lives under different circumstances. Using the concept of affordances as an analytic tool, this article looks into ways in which existing studies address the possibilities and vulnerabilities of mobile communications, the social conditions, and the agency of refugees in engaging with mobile technologies in the different temporal and spatial dimensions of their migration trajectories. Future studies should explore more collective processes and the power dynamics involved in the appropriation of mobile technologies by different migration actors.     

A new long-term survival model with dispersion induced by discrete frailty

Lifetime Data Analysis - Frailty models are generally used to model heterogeneity between the individuals. The distribution of the frailty variable is often assumed to be continuous. However, there...     

Similarities and Dissimilarities in Spouses’ Narratives of Miscarriage: A Dyadic Analysis of Communicated Narrative Sense-Making and Well-Being

Drawing upon communicated narrative sense-making (CNSM) theory, we explored how husbands and wives narratively make sense of their miscarriage and links to well-being. Specifically, we analyzed how the narrative theme, sequence, and similarity related to spouses’ perceived stress and relational satisfaction. Heterosexual married couples (n = 185; N = 370) who had experienced a miscarriage responded to online questionnaires in which they told the story of their pregnancy loss and completed measures of well-being. Seven miscarriage story themes emerged – hope lost, factual, time heals, helpful support, unhelpful support, cautiously optimistic, and guilt/shame. Findings demonstrated that husbands’ themes accounted for differences in their relational satisfaction, whereas wives’ themes accounted for differences in their perceived stress. Analyses on narrative similarity revealed couples with different themes reported higher relational satisfaction than those with similar themes. Further, those couples with the same narrative sequences (i.e., contaminated, redemptive, or ambivalent) reported less perceived stress than those with different narrative sequences. These findings suggest that storying miscarriage helps both husbands and wives process loss in unique ways.     

Predicting the Risk of Biological Invasions Using Environmental Similarity and Transport Network Connectedness

Understanding the risk of biological invasions associated with particular transport pathways and source regions is critical for implementing effective biosecurity management. This may require both a model for physical connectedness between regions, and a measure of environmental similarity, so as to quantify the potential for a species to be transported from a given region and to survive at a destination region. We present an analysis of integrated biosecurity risk into Australia, based on flights and shipping data from each global geopolitical region, and an adaptation of the “range bagging” method to determine environmental matching between regions. Here, we describe global patterns of environmental matching and highlight those regions with many physical connections. We classify patterns of global invasion risk (high to low) into Australian states and territories. We validate our analysis by comparison with global presence data for 844 phytophagous insect pest species, and produce a list of high‐risk species not previously known to be present in Australia. We determined that, of the insect pest species used for validation, the species most likely to be present in Australia were those also present in geopolitical regions with high transport connectivity to Australia, and those regions that were geographically close, and had similar environments.     

Aging in the Era of Regenerative Medicine: Analysis of Aging‐Related Representations among Canadian Researchers

Explicitly aimed at understanding and controlling molecular and cellular processes at the root of senescence and biological aging, regenerative medicine aspires to artificially reproduce the biological processes that enable the body to regenerate itself. This no longer involves conserving the body's state of balance by combating disease, as in clinical medicine, but rather fighting degeneration itself. From stem cell research to gene therapy to the production of replacement tissues, regenerative medicine perfectly corresponds to the logic of biomedicalization specific to postmodern society. Based on a series of 18 interviews conducted with Canadian researchers and clinicians in the field of regenerative medicine, this article seeks to understand representations of the aging body among researchers in this field. Seen from a strictly negative angle, aging is assimilated by researchers to an inevitable catastrophe that nevertheless must be combated. More closely observing the theoretical model of regenerative biology and the types of treatments developed, it can be observed, however, that this medicine of the future does not target the elderly, but rather promises youth the ability to regenerate themselves to avoid aging.