Forthcoming methods@manchester workshops

Internet Ethnographies – Adi Kuntsman

Tuesday 27 November, 9:00am-12:30pm (Ellen Wilkinson C5.1, University of Manchester)

This half day workshop offers an introduction to ethnographic research on the Internet. The workshop aims to bridge traditional anthropological practice with new tools for Internet research; to familiarise the students with the history of Internet ethnography, its key conceptual concerns and its ethical and methodological challenges, and to equip the students with tools for doing ethnographic research in contemporary Internet environments.

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Auto-photography – Melanie Lombard

10 December 2:30-5 pm, (HBS 1.69/70, University of Manchester)

This session will explore the use of auto-photography as a participatory technique. Despite increasing interest in visual methods in the social sciences, auto-photography remains relatively unexplored as a research method. As part of a mixed methods framework, it offers rich potential to explore participants’ perceptual observations that may be hard to access through more conventional techniques such as interviews; and it is suitable for use with marginalised groups, given its capacity to emphasise how the less powerful see their place in the world. However, guidance is still evolving on ethical and analytical issues such as anonymity and representation. The session will explore the process of using the method, and some of the opportunities and challenges it gives rise to, in an interactive setting.

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Generalized Linear Models: a basic statistics course – Graham Hutcheson
Venue: Basement Computer Lab, Humanities Bridgeford Street Building, University of Manchester. Starts at 09:15.

This 3-day course introduces Generalized Linear Models (GLMs) and shows how they can be applied to numeric and categorical data. The course makes extensive use of the open-source statistical environment “R” that is accessed through the Rcommander (Rcmdr) graphical interface (this software can be installed on any platform – Unix, linux, MacOS and Windows). A major advantage of GLMs is that they are based on a consistent underlying theory that can be easily understood and applied. This course uses simple terminology to define and input models and does not require particpants to have a detailed mathematical knowledge. 

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