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Research methods - moving from the lab out 'into the wild'
No full textMoira McGregor has worked on various projects at the Mobile Life Research Centre including: everyday use of digital maps; the sharing economy; mobile battery maintenance; and speech technology in workplace meetings. What these projects have have in common is a desire to look at the use of mobile technology as it happens in order to understand how users make sense of the technology, and also how users interweave this use with other interactions going on around them at the same time.
The above coincides with a general move from studying mobile phone technology in the controlled setting of the lab, to the challenge of devising methods to allow the study of mobile phone use in situ, out ‘in the wild’. This focus on use in situ calls for a focus on working with distributed research methods, including video analysis, interactional and conversational analysis, interviews, and technical probes – all of which have been deployed in Moira’s work in order to give access to moment by moment interaction with mobile technology. The resulting small scale and detailed perspective may be combined to complement the more pervasive approaches of recording mobile phone use by instrumenting technology with sensors and logging use over longer periods, with large cohorts of users.
Moira is currently a PhD student at the MobileLife Research Centre in Stockholm. Her work looks at how technology is used in everyday life – from mobile phone use in co-present interaction with others, to how an app like Uber is changing the work practices of taxi drivers. In this seminar, Moira will present some of the research methods used in her studies and some of her preliminary findings
The Chemistry of Data
No full textAbstract: In my talk I will discuss the way in which the ideas of the Data Science, Web and Semantic Web, Open Science contribute to new methods and approaches to data driven chemistry and chemical informatics. A key aspect of the discussion will be how to facilitate the improved acquisition and integration and analysis of chemical data in context. I will refer to lesions learnt in the e-Science and Digital Economy (particularly the IT as a Utility Network) programmes and the EDISON H2020 project.
Jeremy G. Frey
Jeremy Frey obtained his DPhil on experimental and theoretical aspects of van der Waals complexes, in Oxford, followed by a fellowship at the Lawrence Berkeley Laboratory with Yuan Lee. In 1984 he joined the University of Southampton, where he is now Professor of Physical Chemistry and head of the Computational Systems Chemistry Group. His experimental research probes molecular organization from single molecules to liquid interfaces using laser spectroscopy from the IR to soft X-rays. In parallel he investigates how e-Science infrastructure supports intelligent access to scientific data.
He is strongly committed to collaborative inter and multi-disciplinary research and is skilled in facilitating communication between diverse disciplines speaking different languages. He has successfully lead several large interdisciplinary collaborative RUCK research grants, from Basic Technology (Coherent Soft X-Ray imaging), e-Science (CombeChem) and most recently the Digital Economy Challenge area of IT as a Utility Network+, where he has successfully created a unique platform to facilitate collaboration across the social, science, engineering and design domains, working with all the research, commercial, third and governmental sectors
Studying the emergent properties of Social Machines
No full textIn this talk, I will discuss the unexpected uses of social machines, and how individual and collective behaviour on platforms such as Twitter, Wikipedia, and the Zooniverse contribute to their development, success, and failure. Based on these observations, we will explore how we can take advantage of the emergent features and interpretive flexibility of social machines, in order to support current global challenges