Wild interdisciplinarity: ethnography and computer science

© 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Drawing on the experiences of a novel collaborative project between sociologists and computer scientists, this paper identifies a set of challenges for fieldwork that are generated by this wild interdisciplinarity. Public Access Wi-Fi Service was a project funded by an ‘in-the-wild’ research programme, involving the study of digital technologies within a marginalised community, with the goal of addressing digital exclusion. We argue that similar forms of research, in which social scientists are involved in the deployment of experimental technologies within real world settings, are becoming increasingly prevalent. The fieldwork for the project was highly problematic, with the result that few users of the system were successfully enrolled. We analyse why this was the case, identifying three sets of issues which emerge in the juxtaposition of interdisciplinary collaboration and wild setting. We conclude with a set of recommendations for projects involving technologists and social scientists.This research was supported by a research grant from the Engineering and Physical Sciences Research Council (EP/K012703/1) and by Horizon Digital Economy Research, RCUK grant (EP/G065802/1)

Closing seminars and lectures: The work that lecturers and students do

This paper was accepted for publication in the journal Discourse Studies and the definitive published version is available at https://doi.org/10.1177/1461445617701992Based on an analysis of naturally occurring interactions between lecturers and students, this article investigates how university lectures and seminars are brought to a close through the collaborative work of lecturers and students. The analysis focuses on: firstly, the resources that lecturers and students have to accomplish this (which do not just include speech, but also embodied conduct, as well as references to clock time and lesson phases); secondly, the active role that students play, who may engage in closing activities in ways that attempt to preserve the classroom order (e.g., by packing up silently while continuing to demonstrably listen) or in ways that are disruptive of it (e.g., by packing up noisily); thirdly, the occasional subversive role that students may adopt, who may attempt to initiate closings in order to cut the lecture or seminar short (e.g., by suggesting to the lecturer that he or she is going over time or by engaging in ‘premature’ closing activities)

The Organization of Turn-Taking in Pool Skate Sessions

This is an Accepted Manuscript of an article published by Taylor & Francis in Research on Language and Social Interaction on 18th November 2015, available online: http://www.tandfonline.com/10.1080/08351813.2015.1090114.This study takes pool skating, where only one skater rides at a time, as an example of a turn-taking system, albeit one that is organized not through speech but through bodily actions. This allows us to revisit Sacks, Schegloff, and Jefferson’s (1974) famous “turn taking” paper—in particular, their initial broad conception of turn-taking systems as including activities other than the speech-exchange systems studied by conversation analysis. Despite the original declaration, non-speech turn-taking systems have evaded close scrutiny for the past four decades. By turning our attention to such a system here, this study makes two contributions: firstly, to the sociology of turn-organized activities (through a comparison of the central features of turn-taking for conversation with pool skating) and, secondly, to the study of how bodily actions can accomplish pre-beginnings (since in pool skate sessions, this is the place to settle the matter of turn allocation in order to avoid overlaps in riding)

News Interviews: Clayman and Heritage’s The News Interview

News interviews: Clayman and Heritage’s ‘The News Interview

A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos

Abstract. In this work we propose a mechanism which looks at processing the low-level visual information present in video frames and prepares mid-level tracking trajectories of objects of interest within the video. The main component of the proposed framework takes detected objects as inputs and generates their appearance models, maintains them and tracks these individuals within the video. The proposed object tracking algorithm is also capable of detecting the possibility of collision between the object trajectories and resolving it without losing their models.