321 research outputs found
Pick-n-mix approaches to technology supply : XML as a standard âglueâ linking universalised locals
We report on our experiences in a participatory design project to develop ICTs in a hospital ward
working with deliberate self-harm patients. This project involves the creation and constant re-creation of
sociotechnical ensembles in which XML-related technologies may come to play vital roles. The importance of
these technologies arises from the aim underlying the project of creating systems that are shaped in locally
meaningful ways but reach beyond their immediate context to gain wider importance. We argue that XML is
well placed to play the role of "glue" that binds multiple such systems together. We analyse the implications of
localised systems development for technology supply and argue that inscriptions that are evident in XML-related
standards are and will be very important for the uptake of XML technologies
Healthcare technologies and professional vision
This paper presents some details from an observational evaluation of a computer assisted detection tool in mammography. The use of the tool, its strengths and weaknesses, are documented and its impact on reader's 'professional vision' (Goodwin 1994) considered. The
paper suggests issues for the design, use and, importantly, evaluation of new technologies in
everyday medical work, pointing to general issues concerning trust â usersâ perception of the dependability of the evidence generated by such tools and suggesting that evaluations require an emphasis on the complex issue of what technologies afford their users in everyday work
Towards Real-Time, Country-Level Location Classification of Worldwide Tweets
In contrast to much previous work that has focused on location classification
of tweets restricted to a specific country, here we undertake the task in a
broader context by classifying global tweets at the country level, which is so
far unexplored in a real-time scenario. We analyse the extent to which a
tweet's country of origin can be determined by making use of eight
tweet-inherent features for classification. Furthermore, we use two datasets,
collected a year apart from each other, to analyse the extent to which a model
trained from historical tweets can still be leveraged for classification of new
tweets. With classification experiments on all 217 countries in our datasets,
as well as on the top 25 countries, we offer some insights into the best use of
tweet-inherent features for an accurate country-level classification of tweets.
We find that the use of a single feature, such as the use of tweet content
alone -- the most widely used feature in previous work -- leaves much to be
desired. Choosing an appropriate combination of both tweet content and metadata
can actually lead to substantial improvements of between 20\% and 50\%. We
observe that tweet content, the user's self-reported location and the user's
real name, all of which are inherent in a tweet and available in a real-time
scenario, are particularly useful to determine the country of origin. We also
experiment on the applicability of a model trained on historical tweets to
classify new tweets, finding that the choice of a particular combination of
features whose utility does not fade over time can actually lead to comparable
performance, avoiding the need to retrain. However, the difficulty of achieving
accurate classification increases slightly for countries with multiple
commonalities, especially for English and Spanish speaking countries.Comment: Accepted for publication in IEEE Transactions on Knowledge and Data
Engineering (IEEE TKDE
Developing sustainability pathways for social simulation tools and services
The use of cloud technologies to teach agent-based modelling and simulation (ABMS) is an interesting application of a nascent technological paradigm that has received very little attention in the literature. This report fills that gap and aims to help instructors, teachers and demonstrators to understand why and how cloud services are appropriate solutions to common problems they face delivering their study programmes, as well as outlining the many cloud options available. The report first introduces social simulation and considers how social simulation is taught. Following this factors affecting the implementation of agent-based models are explored, with attention focused primarily on the modelling and execution platforms currently available, the challenges associated with implementing agent-based models, and the technical architectures that can be used to support the modelling, simulation and teaching process. This sets the context for an extended discussion on cloud computing including service and deployment models, accessing cloud resources, the financial implications of adopting the cloud, and an introduction to the evaluation of cloud services within the context of developing, executing and teaching agent-based models
Abstractions, accounts and grid usability
The vision of the Grid is one of seamless, virtual and constantly changing resources where users need not concern themselves about details, such as exactly where an application is running or where their data is being stored. However, seamless and virtual often imply a lack of control that users may be wary of, or even opposed to. Drawing upon our studies of HCI and of collaborative work, this paper examines whether the Grid development community should be taking this vision literally and argues for the need for accountability of systems âin interactionâ. We give examples of an alternative approach that seeks to provide ways in which administrators, technical support and user communities can make sense of the behaviour of the complex socio-technical ensembles that are the reality of Grids
Scoping and business models report
The aim of this work was to scope the community for needs, raise awareness and encourage adoption of new social simulation models and tools developed in the National e-Infrastructure for Social Simulation (NeISS) and gather findings, establish contacts, and build capacity for future activities
Scoping e-infrastructure usage : interim report
eIUS is an applied research project funded under the JISC e-Infrastructure programme with a remit to create a detailed picture of e-Infrastructure usage across UK academic research and, through actively publicising successful and inspiring use, facilitate an overall increase in take-up. This report positions and scopes the eIUS project in relation to existing initiatives and outlines a fieldwork methodology now intended to be rolled out across the UK
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