The Application of Simulation to Quantifying the Influence of Bias in Perinatal Epidemiology

Perinatal aetiological associations derived from observational data are susceptible to various types of bias. This thesis demonstrated the application of simulation methodologies to quantify the influence of bias in perinatal epidemiology through a series of simulation studies which quantified the magnitude and direction of bias mechanisms. A framework to guide epidemiologists in the development, implementation and reporting of simulation studies to quantify bias was developed. Simulation is a potent tool to the quantification of bias

Humboldt In the time of Covid-19 - Oral History from Sean Dunne

Sean talks about his day to day life during the Covid-19 pandemic. He mentions how he understands anxiety and how it is hard to see the people he loves struggle. He talks about what essential means to him and what should change after covid and what should stay the same

Towards a science of archaeoecology

We propose defining a field of research called ‘archaeoecology’ that examines the past ~60 000 years of interactions between humans and ecosystems to better understand the human place within them. Archaeoecology explicitly integrates questions, data, and approaches from archaeology and ecology, and coalesces recent and future studies that demonstrate the usefulness of integrating archaeological, environmental, and ecological data for understanding the past. Defining a subfield of archaeoecology, much as the related fields of environmental archaeology and palaeoecology have emerged as distinct areas of research, provides a clear intellectual context for helping us to understand the trajectory of human–ecosystem interactions in the past, during the present, and into the future

Young Consumers’ Brand Communications Literacy in a Social Networking Site Context

Purpose - Whilst substantial scholarly attention has been given to children’s understanding of advertising in the context of traditional advertising channels, there is a gap in the literature with regard to children’s commercial awareness in the context of online social networking sites (SNS). This paper seeks to explore the nature and extent of advertising literacy amongst young consumers in the context of their use of SNS, namely Facebook and Bebo. Design/methodology/approach - A three-stage study was conducted with 12-14 year old girls, using focus group discussions, participant observation and in-depth interviews. Findings - The study illustrates that the increasingly blurred line between online advertising and other forms of online brand-related content is militating against the development of advertising and marketing literacy in young consumers. A key issue which is discussed is the extent to which the traditional conceptualisation of advertising literacy is ‘fit for purpose’ in an online context. Originality/value –The authors propose an alternative to the advertising literacy concept, namely the Online Brand Communications (OBC) literacy framework. This framework recognises the convergence of traditional online advertising and other forms of online brand content, and also acknowledges that the messaging around a brand may originate from the brand owner in a variety of overt and covert forms. Equally, online consumers may also act as brand promoters when they engage in brand-related word-of-mouth

Beyond the modern: Muslim youth imaginaries of nation in Northern Nigeria

The rise of different nationalisms in an increasingly unequal and neoliberal world make predictions about the dawn of a post-national, global society seem both incongruous and fraught with Eurocentric occlusions. In response, we present a postcolonial analysis of research into Muslim youth narratives of nation in Northern Nigeria. This highlights the continued significance of nation for youth as well as the historical fractures - both internal and external - that infused their identity narratives. We further show the entanglement of nation and religion in youth imaginaries, and their anti-colonial ambivalences, notably with respect to gender reforms. Our analysis calls for a sociology of nation that goes beyond a modern framing and instead attends to the agonistic affective relations through which national imaginaries are constructed; the historical sutures that were intrinsic to the creation of postcolonial nations and their enduring persistence as points of fracture

Achieving Graduate Attributes through Authentic Learning: The Case of Student Managed Funds

According to the Department of Education and Skills (2011), as cited by Murphy and Whelan (2016), there has been a growing emphasis on the importance of graduate attributes in higher education in Ireland. This not only places emphasis on the application of disciplinary specific knowledge, but also on the ‘soft skills’ highly sought by employers. By providing an authentic learning environment, higher education institutes can facilitate the development of graduate attributes while also ensuring graduates are gaining disciplinary specific knowledge. This project explores how Student Managed Funds (SMFs) represent an authentic learning experience through which students achieve a range of graduate attributes. In addition to the literature review that follows, we also provide details of the recently established Technological University Dublin (DIT) Student Managed Fund (SMF) and a step-by-by guide to the establishment of an SMF, whilst also showing how the DIT SMF learning experience maps to the DIT graduate attributes. Finally, we have developed an infographic that summarises how SMFs are authentic learning experiences that achieve graduate attributes and provide tips for practitioners wishing to set-up an SMF

Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks

Understanding ecological complexity has stymied scientists for decades. Recent elucidation of the famously coined "devious strategies for stability in enduring natural systems" has opened up a new field of computational analyses of complex ecological networks where the nonlinear dynamics of many interacting species can be more realistically mod-eled and understood. Here, we describe the first extension of this field to include coupled human-natural systems. This extension elucidates new strategies for sustaining extraction of biomass (e.g., fish, forests, fiber) from ecosystems that account for ecological complexity and can pursue multiple goals such as maximizing economic profit, employment and carbon sequestration by ecosystems. Our more realistic modeling of ecosystems helps explain why simpler "maxi-mum sustainable yield" bioeconomic models underpinning much natural resource extraction policy leads to less profit, biomass, and biodiversity than predicted by those simple models. Current research directions of this integrated natu-ral and social science include applying artificial intelligence, cloud computing, and multiplayer online games

Bias in exposure-outcome associations when using left truncated birth datasets.

Objectives Restriction to the analysis of births that survive past a specified gestational age (typically 20 weeks gestation) can lead to biased exposure-outcome associations. The objective is to estimate the influence of bias resulting from using a left truncated dataset to ascertain exposure-outcome associations in perinatal studies. Approach We simulated the magnitude of bias under a collider-stratification mechanism for the association between the exposure of advancing maternal age (≥ 35 years) and the outcome of stillbirth. This bias occurs when the cause of restriction (early pregnancy loss) is influenced by both the exposure and unmeasured factors that also affect the outcome. Simulation parameters were based on an original birth cohort from Western Australia and a range of plausible values for the prevalence of early pregnancy loss (< 20 gestational weeks), an unmeasured factor U and the odds ratios for the selection effects. Selection effects included the effects of maternal age on early pregnancy loss, U on early pregnancy loss, and U on stillbirth. We then compared the simulated scenarios with the results from the original cohort in which bias was unadjusted. Results We found the overall magnitude of bias to be minimal in the association between advancing maternal age and stillbirth. The findings indicate that the stronger the effect of the unmeasured U on early pregnancy loss and stillbirth, the greater the departure from the null. When we compared the simulated model with the results of the original cohort, we found evidence of marginal downward bias which was most prominent for women aged 40+ years. Discussion Our simulations demonstrated a marginal downward bias in the association between advancing maternal age and stillbirth. We recommend that future studies should quantify the extent of such bias when using left truncated birth datasets to determine exposure-outcome associations

Developing methodology for efficient eelgrass habitat mapping across lidar systems

Super Storm Sandy, the second costliest hurricane in U.S. history, made landfall on the east coast of the U.S. in October 2012. In an attempt to assess the impacts of the storm on coastal ecosystems, several U.S. mapping agencies such as the National Oceanic and Atmospheric Administration (NOAA), the U.S. Geological Survey (USGS), and the U.S. Army Corps of Engineers (USACE) commenced data collection efforts using a variety of remotely-sensed data types including aerial imagery and topobathymetric lidar. The objective of this study was to investigate the applicability of object-based image analysis techniques for benthic habitat mapping. Bathymetry and reflectance data collected by a Riegl VQ-820-G system and the AHAB Chiroptera system along with aerial imagery (Applanix DSS) were compared using an objectbased image analysis (OBIA) technique to classify dense eelgrass beds, mixed sand and macroalgae, and sand habitats. In order to determine the efficacy of this method for benthic habitat classification it was also compared to a manual method of classification from aerial imagery. The resulting habitat maps were compared between systems to determine the feasibility of using one OBIA classification rule set across lidar systems and aerial imagery. Our preliminary results using the Riegl system suggest our methodology correctly classified 85% of benthic habitats. Preliminary results using the Chiroptera also suggests similar accuracy of classification. This methodology will allow streamlined creation of habitat maps for coastal managers and researchers using large sets of data collected by multiple sensors. Testing of this OBIA methodology is ongoing as new data from various sensors becomes available