An Academic Assessment of the National Performance Network and Visual Artists Network: An Internship Academic Report

This academic report was composed at the conclusion of a 480 hour internship with the National Performance Network/Visual Artists Network (NPN/VAN), summarized in Chapter Two. This report includes NPN/VAN’s mission, history, and organizational structure within Chapter One. Chapter Three is a SWOT analysis, and Chapter Four includes a summary of best practices, highlighting NPN/VAN’s intermediary and network structure. In conclusion, a series of suggestions are offered for further consideration

Exploring Micro-, Meso-, and Macro- thriving in engineering: Implications for engineering education and engineering ethics

This research explores and advocates for including engineering thriving as a crucial component of engineering ethics education with implications at the micro-, meso-, and macro-levels. Engineering directly impacts the thriving of society (at the macro-level) and organizations (at the meso-level), yet the education of engineering students is not known for thriving (yet). To design products that serve to improve the thriving of diverse populations and societies, it is an ethical necessity to provide an education that strives for thriving at the micro-level to maintain the integrity of engineering at the macro and meso-levels. Prior work on engineering thriving has largely focused on the micro-level (individual) and meso-level (organizations) with little focus on the macro-level (social institutions). However, governments are increasingly evaluating societal progress through not just measures of economic growth (gross domestic product) but also sustainable development (gross happiness index). This research focuses on key considerations when educating engineering students to become moral agents of technological change that drive wealth and wellbeing. Overall, this research will serve several purposes: 1) introduces the boundaries and key considerations between micro-thriving, meso-thriving, and macro-thriving; 2) advocates for the importance of engineering thriving considerations within engineering ethics education at each of the three levels

Quantifying Uncertainty in Ensemble Deep Learning

Neural networks are an emerging topic in the data science industry due to their high versatility and efficiency with large data sets. The purpose of this modern machine learning technique is to recognize relationships and patterns in vast amounts of data that would not be explored otherwise. Past research has utilized machine learning on experimental data in the material sciences and chemistry field to predict properties of metal oxides. Neural networks can determine underlying optical properties in complex images of metal oxides and capture essential features which are unrecognizable by observation. However, neural networks are often referred to as a “black box algorithm” due to the underlying process during the training of the model. The explanation for a prediction is unable to be traced, therefore poses a concern on how robust and reliable the prediction model actually is. Building ensemble neural networks allows for the analysis of the error bars of the prediction model. The project’s objective is to determine the comparative differences between the predictive ability of each individual convolutional neural network versus the ensemble neural network. Additionally, the paper explores how to use the ensemble model as a method of uncertainty quantification. Overall, ensemble neural networks outperform singular networks and demonstrate areas of uncertainty and robustness in the model

Modeling hydrodynamic self-propulsion with Stokesian Dynamics. Or teaching Stokesian Dynamics to swim

We develop a general framework for modeling the hydrodynamic self-propulsion (i.e., swimming) of bodies (e.g., microorganisms) at low Reynolds number via Stokesian Dynamics simulations. The swimming body is composed of many spherical particles constrained to form an assembly that deforms via relative motion of its constituent particles. The resistance tensor describing the hydrodynamic interactions among the individual particles maps directly onto that for the assembly. Specifying a particular swimming gait and imposing the condition that the swimming body is force- and torque-free determine the propulsive speed. The body’s translational and rotational velocities computed via this methodology are identical in form to that from the classical theory for the swimming of arbitrary bodies at low Reynolds number. We illustrate the generality of the method through simulations of a wide array of swimming bodies: pushers and pullers, spinners, the Taylor=Purcell swimming toroid, Taylor’s helical swimmer, Purcell’s three-link swimmer, and an amoeba-like body undergoing large-scale deformation. An open source code is a part of the supplementary material and can be used to simulate the swimming of a body with arbitrary geometry and swimming gait

Developing a model for e-prints and open access journal content in UK further and higher education

A study carried out for the UK Joint Information Systems Committee examined models for the provision of access to material in institutional and subject-based archives and in open access journals. Their relative merits were considered, addressing not only technical concerns but also how e-print provision (by authors) can be achieved – an essential factor for an effective e-print delivery service (for users). A "harvesting" model is recommended, where the metadata of articles deposited in distributed archives are harvested, stored and enhanced by a national service. This model has major advantages over the alternatives of a national centralized service or a completely decentralized one. Options for the implementation of a service based on the harvesting model are presented

Improving the capabilities of NHS organisations to use evidence : a qualitative study of redesign projects in Clinical Commissioning Groups

Background Innovation driven by authoritative evidence is critical to the survival of England’s NHS. Clinical Commissioning Groups (CCGs) are central in NHS efforts to do more with less. Although decisions should be based on the ‘best available evidence’, this is often problematic, with frequent mismatches between the evidence ‘pushed’ by producers and that used in management work. Our concern, then, is to understand practices and conditions (which we term ‘capabilities’) that enable evidence use in commissioning work. We consider how research gets into CCGs (‘push’), how CCGs use evidence (‘pull’) and how this can be supported (toolkit development). We aim to contribute to evidence-based NHS innovation, and, more generally, to improved health-care service provision. Method Supported by the National Institute for Health Research (NIHR), we conducted semistructured ethnographic interviews in eight CCGs. We also conducted observations of redesign meetings in two of the CCGs. We used inductive and deductive coding to identify evidence used and capabilities for use from the qualitative data. We then compared across cases to understand variations in outcomes as a function of capabilities. To help improvements in commissioning, we collated our findings into a toolkit for use by stakeholders. We also conducted a small-scale case study of the production of evidence-based guidance to understand evidence ‘push’. Results Fieldwork indicated that different evidences inform CCG decision-making, which we categorise as ‘universal’, ‘local’, ‘expertise-based’ and ‘trans-local’. Fieldwork also indicated that certain practices and conditions (‘capabilities’) enable evidence use, including ‘sourcing and evaluating evidence’, ‘engaging experts’, ‘effective framing’, ‘managing roles and expectations’ and ‘managing expert collaboration’. Importantly, cases in which fewer capabilities were recorded tended to report more problems, relative to cases in which needed capabilities were applied. These latter cases were more likely to effectively use evidence, achieve objectives and maintain stakeholder satisfaction. We also found that various understandings of end-users are inscribed into products by evidence producers, which seems to reflect the evolving landscape of the production of authoritative evidence. Conclusions This was exploratory research on evidence use capabilities in commissioning decisions. The findings suggest that commissioning stakeholders need support to identify, understand and apply evidence. Support to develop capabilities for evidence may be one means of ensuring effective, evidence-based innovations in commissioning. Our work with evidence producers also shows variation in their perceptions of end users, which may inform the ‘push’/’pull’ gap between research and practice. There were also some limitations to our project, including a smaller than expected sample size and a time frame that did not allow us to capture full redesign projects in all CCGs. Future work With these findings in mind, future work may look more closely at how information comes to be treated as evidence and at the relationships of capabilities to project outcomes. Going forward, knowledge, especially that related to generalisability, may be built by means of a longer time and the study of redesign projects in different settings

Use of touchscreen tablet technology by people with dementia in homes: a scoping review

BackgroundThe aim of this scoping review was to identify the range, extent and nature of research around the use of touchscreen tablets by people with dementia in their home environment, particularly in regards to its use as a means of supporting participation in meaningful and socially connected activity.MethodsA review of both peer-reviewed and grey literature was undertaken across 61 databases, along with reference list checking for articles published between 2010 and 2016.ResultsTwelve articles were included in this review, predominantly from Western European cultures and community-based home environments. The studies were exploratory in nature, with the majority focusing on the development of applications for people with dementia.ConclusionsThe study identified a range of exploratory research related to the use of touchscreen tablets by people with dementia. However, there were significant gaps within this evidence base, which provide opportunities for further research using more robust methodologies. Given the ubiquitous nature of touchscreen tablets in modern communities, further research could facilitate their use as a minimally stigmatizing and culturally appropriate form of support for people with dementia

Developing a Business Case for the Care Coordination and Transition Management Model: Needs, Methods, and Measures

In this descriptive qualitative study, nurse and healthcare leaders\u27 experiences, perceptions of care coordination and transition management (CCTM®), and insights as to how to foster adoption of the CCTM RN role in nursing education, practice across the continuum, and policy were explored. Twenty-five barriers to recognition and adoption of CCTM RN practice across the continuum were identified and categorized. Implications of these findings, recommendations for adoption of CCTM RN practice across the care continuum, and strategies for reimbursement policies are discussed

Developing a Business Case for the Care Coordination and Transition Management Model: Need, Metrics, and Measures

In this descriptive qualitative study, nurse and healthcare leaders\u27 experiences, perceptions of care coordination and transition management (CCTM®), and insights as to how to foster adoption of the CCTM RN role in nursing education, practice across the continuum, and policy were explored. Twenty-five barriers to recognition and adoption of CCTM RN practice across the continuum were identified and categorized. Implications of these findings, recommendations for adoption of CCTM RN practice across the care continuum, and strategies for reimbursement policies are discussed