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452 result(s) for "Darlington, John"
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RAPPORT: running scientific high-performance computing applications on the cloud
Cloud computing infrastructure is now widely used in many domains, but one area where there has been more limited adoption is research computing, in particular for running scientific high-performance computing (HPC) software. The Robust Application Porting for HPC in the Cloud (RAPPORT) project took advantage of existing links between computing researchers and application scientists in the fields of bioinformatics, high-energy physics (HEP) and digital humanities, to investigate running a set of scientific HPC applications from these domains on cloud infrastructure. In this paper, we focus on the bioinformatics and HEP domains, describing the applications and target cloud platforms. We conclude that, while there are many factors that need consideration, there is no fundamental impediment to the use of cloud infrastructure for running many types of HPC applications and, in some cases, there is potential for researchers to benefit significantly from the flexibility offered by cloud platforms.
Pricing music using personal data: mutually advantageous first-degree price discrimination
In addition to customized products and services, personal data also enables personalized pricing. However, consumers are often unwilling to accept being price discriminated for fear that they would end up paying more for the same product or service. This article demonstrates that by rewarding consumers for disclosing personal information it is possible to achieve a situation where first-degree price discrimination is mutually advantageous and both buyers and sellers gain by adopting such a pricing model. The conditions required for this to happen are investigated and the impact on social welfare is discussed. Finally, the article considers the robustness of this model when consumers adopt an opportunistic behavior which consists in manipulating personal data in order to masquerade as a consumer with a lower willingness to pay.
Converging Outcomes in Nationally Shareable Electronic Health Records (NEHRs): An Historical Institutionalist Explanation of Similar NEHR Outcomes in Australia, England and the United States of America
The adoption of nationally shareable electronic health records (NEHRs) in Australia, England and the United States became major policy and political issues between c1998 and 2015. They continue to be so. As a policy issue, the benefits of ehealth, and subsequently NEHRs as mechanisms for institutional change, were rhetorically popular. Politically however, the development, implementation and regulation of NEHRs proved to be difficult and fraught with criticism from nearly all ehealth stakeholders. The NEHR programs each country pursued at the national level were exceptionally expensive and complex infrastructure undertakings. They involved institutional change management that produced tension amongst stakeholders, required the state to decide on trade-offs that produced winners and losers, and resulted in unintended consequences. Initially, each country approached these policy and political issues differently. Examining why they then had substantially similar outcomes is the substantive puzzle that lies at the centre of this research.This thesis adopts an historical institutionalist approach to explain why state efforts to pursue the development, implementation and regulation of NEHRs at the national level in Australia, England and the United States resulted in substantially similar outcomes despite adopting initially different approaches. The thesis first compares why each case study country pursued ehealth, embarked on organisational change in order to achieve its ehealth and NEHR goals, and adopted NEHRs, noting similarities and major differences. The thesis then compares the state's role in the development of NEHRs at the national level in each country, again noting similarities and differences. A comparative evaluation of the cases is then undertaken in order to explain why each state continued to pursue NEHRs, despite the significant barriers to institutional change they faced. Here, the theoretical concepts of path dependency, critical junctures and incremental change are used to enhance the explanation. The thesis will then explain why the outcomes, as assessed through the lens of public policy evaluation, were substantially similar in each country. Finally, the thesis details the findings of the research through the lens of historical institutionalism and states the significance and implications of the research.The research found that while each case study country approached the policy and political issues of ehealth and NEHRs differently, the outcomes were substantially the same because their goals, and the barriers they faced in trying to achieve them, were very similar. Australia started with a decentralised national health information network (NHIN) then changed to a centralised NEHR. England started with, and continued to pursue, a centralised NEHR. The United States eschewed government development and implementation of an NEHR and took the path of incentivising and regulating electronic health records (EHRs) in an effort to make them nationally shareable. Similar goals across the three countries included moving from a paper to an EHR system; giving patients more control over their health information; making EHRs interoperable; increasing EHR usability and the meaningful use of patient health information; and improving the efficiency and effectiveness of care. Similar barriers included: cost, privacy, trust, stakeholder preferences, and the state attempting to drive change too quickly producing stakeholder resistance and negative outcomes. The thesis findings also provide support for theoretical explanations of institutional stasis and change within the context of path dependency, critical junctures and incremental institutional change.
Conceptual Frameworks for Building Online Citizen Science Projects
In recent years, citizen science has grown in popularity due to a number of reasons, including the emphasis on informal learning and creativity potential associated with these initiatives. Citizen science projects address research questions from various domains, ranging from Ecology to Astronomy. Due to the advancement of communication technologies, which makes outreach and engagement of wider communities easier, scientists are keen to turn their own research into citizen science projects. However, the development, deployment and management of these projects remains challenging. One of the most important challenges is building the project itself. There is no single tool or framework, which guides the step-by-step development of the project, since every project has specific characteristics, such as geographical constraints or volunteers' mode of participation. Therefore, in this article, we present a series of conceptual frameworks for categorisation, decision and deployment, which guide a citizen science project creator in every step of creating a new project starting from the research question to project deployment. The frameworks are designed with consideration to the properties of already existing citizen science projects and could be easily extended to include other dimensions, which are not currently perceived.
RealityGrid: an integrated approach to middleware through ICENI
The advancement of modelling and simulation within complex scientific applications is currently constrained by the rate at which knowledge can be extracted from the data produced. As Grid computing evolves, new means of increasing the efficiency of data analysis are being explored. RealityGrid aims to enable more efficient use of scientific computing resources within the condensed matter, materials and biological science communities. The Imperial College e-Science Networked Infrastructure (ICENI) Grid middleware provides an end-to-end pipeline that simplifies the stages of computation, simulation and collaboration. The intention of this work is to allow all scientists to have access to these features without the need for heroic efforts that have been associated with this sort of work in the past. Scientists can utilise advanced scheduling mechanisms to ensure efficient planning of computations, visualize and interactively steer simulations and securely collaborate with colleagues via the Access Grid through a single integrated middleware application.