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Friday 17 April 2015 09:00 - 10:30<br />

ROUNDTABLE SESSIONS<br />

Being addressed as the engine of modernization, professional engineering was brought to Turkey in earlier times of<br />

Republican reforms with its pregiven masculine codes. These codes articulated with Turkey's strictly patriarchal<br />

structure. 1965 and on Turkey has witnessed the rise of male engineer as a political actor (Göle, 2007: 8). From 1965<br />

until 2000's engineer originated politicians had been ruling figures of Turkey's politics. As a result, engineering was<br />

conceived as a prestigious occupation for men, since publicly known examples in Turkey became symbols of<br />

managing politics and production.Reputation of the occupation has grown and marrying an engineer or even getting a<br />

proposal from one, is seen as a symbol of status for a women.*<br />

This study is about gendered construction of engineering occupation in contemporary Turkey. It is a study for<br />

understanding the gendered discourse within and about engineering occupation depending on the argument that<br />

gendered aspects in engineering are ideological and are based on a complex web of general and particular<br />

discourses around traditional gender roles, technical know-how, masculine hardness and feminine softness.<br />

In order to achieve these, this study addresses experiences of forty women and men engineers with regard to their<br />

perceptions about engineering and perceptions they receive from Turkey's society, in addition to ethnographic studies<br />

in two factories in Ankara.<br />

Ecologies of Commoning in Technoscience: Thinking Transition with Permaculture and with an Arduino<br />

Micro Controller<br />

Ghelfi, A.<br />

(University of Leicester)<br />

One of the main contributions of STS in thinking politics consists in questioning the modern gesture of 'purification': a<br />

narration that, separating human society from the material world, has reduced politics to a human affair. Starting also<br />

from this assumption, a multitude of researches and methodological sensibilities in STS, cultural anthropology and<br />

related fields took in account artefacts and technologies, animals, plants and bacteria, modes of materialisation and<br />

mattering in the analysis of how situated collectivities are assembled. So far so good. But, how can we think politics as<br />

a pluriverse of embodied forms of existence, and transition as a pluriverse of ways of taking part in processes of<br />

socio-material exchanges, without abandoning 'the bonds that connect us to the world' (Serres 1995)? And which<br />

contributions to this debate can emerge from the so called 'ontological turn'?<br />

My presentation will explore these questions dealing with an analysis of techniques, knowledge practices and forms of<br />

imagination collected during my fieldwork. I will refer to two laboratories of design practices: permaculture and the<br />

makers movement. If permaculture is an ecological movement which aim consists in designing sustainable and<br />

resilient eco-systems, the makers movement crafts open source artefacts through hacking tools as Arduino. Even if<br />

starting from very different ecologies of commoning, both these laboratories of fabrication are developing practices of<br />

material and ontological worldling. Discussing how the theme of transition can be understood starting from such<br />

practices of crafting matter will be the aim of my presentation.<br />

Science and Technology Studies 2<br />

ROUNDTABLE 21, CONFERENCE HALL, HAMISH WOOD BUILDING<br />

The Algorithmic Skin of the Quantified Student: Big Data and Education<br />

Williamson, B.<br />

(University of Stirling)<br />

According to its advocates, big data will reshape education. Current imaginaries of data-driven education rely on<br />

technical developments including online courses enabling the tracking of students through their clickstream data, e-<br />

textbooks monitoring their use, and learning data analytics enabling students' futures to be predicted. Education is<br />

becoming a highly data-minable industry.<br />

Informed by digital sociology and STS, this paper analyses how sociotechnical systems of data tracking, machine<br />

learning, and predictive learning analytics are reshaping student subjectivities. The paper analyses two interrelated<br />

sociotechnical systems: self-tracking and biosensor devices (or technologies of the 'quantified self') in physical<br />

education; and the learning analytics platform Knewton, which uses machine learning to anticipate students' probable<br />

actions, predict outcomes, and prescribe interventions to pre-empt their futures.<br />

Data-driven education translates learners into 'quantified students,' or 'algorithmic identities' (Cheney-Lippold 2011)<br />

and 'data doubles' temporarily aggregated by socioalgorithmic processes (Fuller 2008). The quantified student is part<br />

of a 'calculated public' called into existence by big data algorithms (Gillespie 2014), produced by translating the body<br />

247 BSA Annual Conference 2015<br />

Glasgow Caledonian University

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