Engaging with the public in public engagement with research

Though there is now growing commitment to publicly engaged research, the role and definition of the public in such processes is wide-ranging, contested, and often rather vague. This article addresses this problem by showing that, although there is no single agreed upon theory or way of being public, it is still possible and very important to develop clear, public-centric, understandings of engaged research practice. The article introduces a multi-dimensional framework based on the theoretical literature on the ‘public’, and demonstrates – in the context of a recent engaged research project – how it possible to conceptualise, design and evaluate context-specific formations of the public. Starting from an understanding of publics as mediated and dynamic entities, the article seeks to illuminate some of the choices that researchers face and how the framework can help them navigate these. This article is for all those interested in what it means to address, support and account for an engaged public in contemporary settings.

Protocolised weaning from mechanical ventilation: pairing a qualitative review with an effectiveness review

In our systematic review of protocolised weaning from mechanical ventilation (Blackwood 2014) we found significant heterogeneity that could not be explained by subgroup analysis (type of protocol, ICU). We suspected that factors unreported in the trials relating to context and mechanisms of using the weaning protocols contributed to the heterogeneity. Therefore we set out to conduct a Cochrane qualitative evidence-synthesis of ‘sibling studies’ (qualitative studies undertaken alongside the included trials that may have examined these factors) and ‘stand-alone’ qualitative studies reporting barriers and facilitators to successful implementation of weaning protocols. The qualitative review was novel, there were few templates or guidelines which challenged us to consider how best to synthesise and report this evidence. However, the benefits of conducting this review are that not only do we have a template for future qualitative syntheses for the ACE group, but specifically for trials of weaning protocols, we found context-specific evidence concerning if, how and why specific protocols have been effective in the settings in which they were delivered and received.

’Letting the right one in’: provider contexts for recruitment to initial teacher education in the United Kingdom

We exploit policy differences within the UK to investigate provider context and recruitment to initial teacher education (ITE). We identify three dimensions of variation: conceptions of professionalism, universal or context specific preparation and costs and benefits to providers. University-led ITE programmes used similar criteria and processes in each jurisdiction, but there were differences between university-led and school-led recruitment. Our study suggests that the current shortfall in recruitment to ITE in England may be a product of the contextual constraints which schools experience. It also suggests that school-led recruitment may tend to emphasise short-term and school-specific needs.

“Can we walk?” Environmental supports for physical activity in India

India is currently facing a non-communicable disease epidemic. Physical activity (PA) is a preventative factor for non-communicable diseases. Understanding the role of the built environment (BE) to facilitate or constrain PA is essential for public health interventions to increase population PA. The objective of this study was to understand BEs associations with PA occurring in two major life domains or life areas—travel and leisure—in urban India. Between December 2014 and April 2015, in-person surveys were conducted with participants (N = 370; female = 47.2%) in Chennai, India. Perceived BE characteristics regarding residential density, land use mix-diversity, land use mix-access, street connectivity, infrastructure for walking and bicycling, aesthetics, traffic safety, and safety from crime were measured using the adapted Neighborhood Environment Walkability Scale-India (NEWS-India). Self-reported PA was measured the International Physical Activity Questionnaire. High residential density was associated with greater odds of travel PA (aOR = 1.9, 95% CI = 1.2, 3.2). Land use mix-diversity was positively related to travel PA (aOR = 2.1, 95%CI = 1.2, 3.6), but not associated with leisure or total PA. The aggregate NEWS-India score predicted a two-fold increase in odds of travel PA (aOR = 1.9, 95% CI = 1.1, 3.1) and a 40% decrease in odds of leisure PA (aOR = 0.6, 95% CI = 0.4, 1.0). However, the association of the aggregated score with leisure PA was not significant. Results suggest that relationships between BE and PA in low-and-middle income countries may be context-specific, and may differ markedly from higher income countries. Findings have public health implications for India suggesting that caution should be taken when translating evidence across countries.

Qualitative Comparative Analysis as a Tool for Concept Clarification, Typology Building, and Contextualized Comparisons in Gender and Feminist Research

Qualitative Comparative Analysis (QCA) is a method for the systematic analysis of cases. A holistic view of cases and an approach to causality emphasizing complexity are some of its core features. Over the last decades, QCA has found application in many fields of the social sciences. In spite of this, its use in feminist research has been slower, and only recently QCA has been applied to topics related to social care, the political representation of women, and reproductive politics. In spite of the comparative turn in feminist studies, researchers still privilege qualitative methods, in particular case studies, and are often skeptical of quantitative techniques (Spierings 2012). These studies show that the meaning and measurement of many gender concepts differ across countries and that the factors leading to feminist success and failure are context specific. However, case study analyses struggle to systematically account for the ways in which these forces operate in different locations.

Exploring Service Innovation Practices Through a Longitudinal Ethnographic Case Study

Case study research has the advantage of investigating issues that are embedded within the context of the case. A novel approach to investigation of the implementation of service innovation process has been adopted through a longitudinal ethnographic case study. This approach was found useful, as the outcome of the study was intended to be an in-depth understanding of firm’s current innovation practices and its consequences with the implementation of a novel business process. In this applied research, an array of longitudinal data was generated chiefly through the technique of participant-observation. Participant-observation as a qualitative or naturalistic method has its roots in ethnographic research. Participant-observation involves “participating in the social world, in whatever role, and reflecting on the products of that participation” (Hammersley & Atkinson, 1983, p.16). This method offers a degree of understanding of the context under study that can come only from personal experience. In this presentation, I discuss the role of the researcher-practitioner as participant-observer and the usefulness of ethnographic case study methodology and participant-observation technique to investigating service innovation practices that are embedded within the context-specific setting of the case.

Adapting prospective structural analysis to strengthen sustainable management and capacity building in community-based natural resource management contexts

Local communities collectively managing common pool resources can play an important role in sustainable management, but they often lack the skills and context-specific tools required for such management. The complex dynamics of social-ecological systems (SES), the need for management capacities, and communities’ limited empowerment and participation skills present challenges for community-based natural resource management (CBNRM) strategies. We analyzed the applicability of prospective structural analysis (PSA), a strategic foresight tool, to support decision making and to foster sustainable management and capacity building in CBNRM contexts and the modifications necessary to use the tool in such contexts. By testing PSA in three SES in Colombia, Mexico, and Argentina, we gathered information regarding the potential of this tool and its adaptation requirements. The results suggest that the tool can be adapted to these contexts and contribute to fostering sustainable management and capacity building. It helped identify the systems’ dynamics, thus increasing the communities’ knowledge about their SES and informing the decision-making process. Additionally, it drove a learning process that both fostered empowerment and built participation skills. The process demanded both time and effort, and required external monitoring and facilitation, but community members could be trained to master it. Thus, we suggest that the PSA technique has the potential to strengthen CBNRM and that other initiatives could use it, but they must be aware of these requirements.

Constructing stability landscapes to identify alternative states in coupled social-ecological agent-based models

The resilience of a social-ecological system is measured by its ability to retain core functionality when subjected to perturbation. Resilience is contextually dependent on the state of system components, the complex interactions among these components, and the timing, location, and magnitude of perturbations. The stability landscape concept provides a useful framework for considering resilience within the specified context of a particular social-ecological system but has proven difficult to operationalize. This difficulty stems largely from the complex, multidimensional nature of the systems of interest and uncertainty in system response. Agent-based models are an effective methodology for understanding how cross-scale processes within and across social and ecological domains contribute to overall system resilience. We present the results of a stylized model of agricultural land use in a small watershed that is typical of the Midwestern United States. The spatially explicit model couples land use, biophysical models, and economic drivers with an agent-based model to explore the effects of perturbations and policy adaptations on system outcomes. By applying the coupled modeling approach within the resilience and stability landscape frameworks, we (1) estimate the sensitivity of the system to context-specific perturbations, (2) determine potential outcomes of those perturbations, (3) identify possible alternative states within state space, (4) evaluate the resilience of system states, and (5) characterize changes in system-scale resilience brought on by changes in individual land use decisions.

Big data: appearance and disappearance

The mainstay of Big Data is prediction in that it allows practitioners, researchers, and policy analysts to predict trends based upon the analysis of large and varied sources of data. These can range from changing social and political opinions, patterns in crimes, and consumer behaviour. Big Data has therefore shifted the criterion of success in science from causal explanations to predictive modelling and simulation. The 19th-century science sought to capture phenomena and seek to show the appearance of it through causal mechanisms while 20th-century science attempted to save the appearance and relinquish causal explanations. Now 21st-century science in the form of Big Data is concerned with the prediction of appearances and nothing more. However, this pulls social science back in the direction of a more rule- or law-governed reality model of science and away from a consideration of the internal nature of rules in relation to various practices. In effect Big Data offers us no more than a world of surface appearance and in doing so it makes disappear any context-specific conceptual sensitivity.

Dissonant Belonging and the Making of Community: Native Hawaiian Claims to Selfhood and Home

In 1898 the United States illegally annexed the Hawaiian Islands over the protests of Queen Liliʽuokalani and the Hawaiian people. American hegemony has been deepened in the intervening years through a range of colonizing practices that alienate Kanaka Maoli, the indigenous people of Hawaiʽi, from their land and culture. Dissonant Belonging and the Making of Community is an exploration of contemporary Hawaiian peoplehood that reclaims indigenous conceptions of multiethnicity from colonizing narratives of nation and race. Drawing from archival holdings at the University of Hawaiʽi, Mānoa and in-depth interviews, this project offers an analysis of public and everyday discourses of nation, race, and peoplehood to trace the discursive struggle over Local identity and politics. A context-specific social formation in Hawaiʽi, “Local” is commonly understood as a multiethnic identity that has its roots in working-class, ethnic minority culture of the mid-twentieth century. However, American discourses of race and, later, multiethnicity have functioned to render invisible the indigenous roots of this social formation. Dissonant Belonging and the Making of Community reclaims these roots as an important site of indigenous resistance to American colonialism. It traces, on the one hand, the ways in which Native Hawaiian resistance has been alternately erased and appropriated. On the other hand, it explores the meanings of Local identity to Native Hawaiians and the ways in which indigenous conceptions of multiethnicity enabled a thriving community under conditions of colonialism.

A study of computational methods to analyze gene expression data

The recent advent of new technologies has led to huge amounts of genomic data. With these data come new opportunities to understand biological cellular processes underlying hidden regulation mechanisms and to identify disease related biomarkers for informative diagnostics. However, extracting biological insights from the immense amounts of genomic data is a challenging task. Therefore, effective and efficient computational techniques are needed to analyze and interpret genomic data. In this thesis, novel computational methods are proposed to address such challenges: a Bayesian mixture model, an extended Bayesian mixture model, and an Eigen-brain approach. The Bayesian mixture framework involves integration of the Bayesian network and the Gaussian mixture model. Based on the proposed framework and its conjunction with K-means clustering and principal component analysis (PCA), biological insights are derived such as context specific/dependent relationships and nested structures within microarray where biological replicates are encapsulated. The Bayesian mixture framework is then extended to explore posterior distributions of network space by incorporating a Markov chain Monte Carlo (MCMC) model. The extended Bayesian mixture model summarizes the sampled network structures by extracting biologically meaningful features. Finally, an Eigen-brain approach is proposed to analyze in situ hybridization data for the identification of the cell-type specific genes, which can be useful for informative blood diagnostics. Computational results with region-based clustering reveals the critical evidence for the consistency with brain anatomical structure.

Driven entrepreneurial education in vocational schools

Vocational Education and Training (VET) is offered throughout the world to students of various educational backgrounds and career aspirations in an effort to create a skilled workforce. The structure of VET varies greatly across different fields and countries with high-growth, low-growth, and transitional economies. However, a common critique of many vocational institutions is that they focus on skills training without addressing related business systems. Thus, students may not understand the business strategies related to their field, which stifles job readiness and entrepreneurial potential. To counter this, a more context-driven and integrated entrepreneurial approach is proposed for VET. Benefits, disadvantages, and exemplars of various types of vocational and entrepreneurial programs are evaluated to determine how their strengths might be leveraged. Such integrated entrepreneurial and vocational training would more suitably address context-specific market needs via both practical and transferrable skills, thus helping to reduce unemployment, particularly among youth in sub-Saharan Africa. (DIPF/Orig.)

Resilience to Climate Change: An Ethnographic Approach

Global projections for climate change impacts produce a startling picture of the future for low-lying coastal communities. The United States’ Chesapeake Bay region and especially marginalized and rural communities will be severely impacted by sea level rise and other changes over the next one hundred years. The concept of resilience has been theorized as a measure of social-ecological system health and as a unifying framework under which people can work together towards climate change adaptation. But it has also been critiqued for the way in which it does not adequately take into account local perspective and experiences, bringing into question the value of this concept as a tool for local communities. We must be sure that the concerns, weaknesses, and strengths of particular local communities are part of the climate change adaptation, decision-making, and planning process in which communities participate. An example of this type of planning process is the Deal Island Marsh and Community Project (DIMCP), a grant funded initiative to build resilience within marsh ecosystems and communities of the Deal Island Peninsula area of Maryland (USA) to environmental and social impacts from climate change. I argue it is important to have well-developed understandings of vulnerabilities and resiliencies identified by local residents and others to accomplish this type of work. This dissertation explores vulnerability and resilience to climate change using an engaged and ethnographic anthropological perspective. Utilizing participant observation, semi-structured and structured interviews, text analysis, and cultural domain analysis I produce an in-depth perspective of what vulnerability and resilience means to the DIMCP stakeholder network. Findings highlight significant vulnerabilities and resiliencies inherent in the local area and how these interface with additional vulnerabilities and resiliencies seen from a nonlocal perspective. I conclude that vulnerability and resilience are highly dynamic and context-specific for the local community. Vulnerabilities relate to climate change and other social and environmental changes. Resilience is a long-standing way of life, not a new concept related specifically to climate change. This ethnographic insight into vulnerability and resilience provides a basis for stronger engagement in collaboration and planning for the future.

Analyse comparative de systèmes de construction industrialisés et leur applicabilité à une habitation multifamiliale verticale pour la classe moyenne à Recife (Brésil).

Depuis le début du XXe siècle, les architectes et ingénieurs anticipaient et idéalisaient l'industrialisation des bâtiments afin que les pièces des édifices puissent être conçues dans une usine de montage pour procéder ensuite à leur assemblage sur les chantiers. À l'heure actuelle, grâce à des chercheurs dédiés, cette industrialisation s’est concrétisée et de nombreux systèmes de construction industrialisés existent dans le monde entier, adaptés à des environnements particuliers. Dans ce contexte, cette étude a pour but d'analyser comparativement plusieurs systèmes à l’aide de certains critères d’évaluation, et de sélectionner, deux systèmes préfabriqués les mieux adaptés aux habitations multifamiliales verticales destinées à une population de classe moyenne aisée de la ville de Recife, au Brésil. La méthodologie s’inspire de l'approche systémique, utilisée par White (1970) et Richard (2002), les deux se caractérisant par une démarche évaluative. Ainsi avons-nous choisi comme étant les plus appropriés, parce que répondant bien au cadre général de Recife, le système préusiné en panneaux DESCON ainsi que celui de poutres et colonnes, commercialisé par les entreprises T&A et PDI, les deux en béton.

Adaptive Software Fault Prediction Approach Using Object-Oriented Metrics

As users continually request additional functionality, software systems will continue to grow in their complexity, as well as in their susceptibility to failures. Particularly for sensitive systems requiring higher levels of reliability, faulty system modules may increase development and maintenance cost. Hence, identifying them early would support the development of reliable systems through improved scheduling and quality control. Research effort to predict software modules likely to contain faults, as a consequence, has been substantial. Although a wide range of fault prediction models have been proposed, we remain far from having reliable tools that can be widely applied to real industrial systems. For projects with known fault histories, numerous research studies show that statistical models can provide reasonable estimates at predicting faulty modules using software metrics. However, as context-specific metrics differ from project to project, the task of predicting across projects is difficult to achieve. Prediction models obtained from one project experience are ineffective in their ability to predict fault-prone modules when applied to other projects. Hence, taking full benefit of the existing work in software development community has been substantially limited. As a step towards solving this problem, in this dissertation we propose a fault prediction approach that exploits existing prediction models, adapting them to improve their ability to predict faulty system modules across different software projects.