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Events

Further events of interest can be found in the College of Social Sciences and International Studies events calendar.

Past Egenis events can be found here.

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25 October 202115:30

EGENIS seminar: "Quality judgment in data production processes: two case studies on economic and health data", Dr Quentin Dufour (Mines ParisTech)

Despite the rules and measurement conventions that structure quantification processes in statistical institutes, producing data always involve a moral dimension, that of quality judgment. By those terms, I refer to a set of techniques, knowledge and know-how, that helps a community of practice to define and evaluate what a correct data is in specific contexts. Quality judgments involve thoughts about the right ways to produce data, and the characteristics of the result to be achieved. At the crossroads of Science Studies and the sociology of quantification, this presentation tackles the problem of quality judgment following two data production processes.. Full details
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8 November 202115:30

EGENIS seminar: "Out of control: creating reliable data in the laboratory", Dr Stephan Guttinger (University of Exeter)

The idea of experimental control is often associated with positive notions such as reliability, certainty, and reproducibility; control is seen as part of what makes the laboratory-based sciences powerful and trustworthy. It is part of the reason why scientists can create reliable data. However, like in society, control can also have a negative effect: exert too much of it and you stifle freedom, creativity, and exploration. This is a problem for science. As Hans-Jörg Rheinberger has highlighted, experimental systems cannot become too rigid and standardized because science depends on a certain openness to unfold its full potential; uncertainty and fuzziness are at the heart of the experimental process.. Full details
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WhenTimeDescriptionAdd to your calendar
25 October 202115:30

EGENIS seminar: "Quality judgment in data production processes: two case studies on economic and health data", Dr Quentin Dufour (Mines ParisTech)

Despite the rules and measurement conventions that structure quantification processes in statistical institutes, producing data always involve a moral dimension, that of quality judgment. By those terms, I refer to a set of techniques, knowledge and know-how, that helps a community of practice to define and evaluate what a correct data is in specific contexts. Quality judgments involve thoughts about the right ways to produce data, and the characteristics of the result to be achieved. At the crossroads of Science Studies and the sociology of quantification, this presentation tackles the problem of quality judgment following two data production processes.. Full details
Add event
8 November 202115:30

EGENIS seminar: "Out of control: creating reliable data in the laboratory", Dr Stephan Guttinger (University of Exeter)

The idea of experimental control is often associated with positive notions such as reliability, certainty, and reproducibility; control is seen as part of what makes the laboratory-based sciences powerful and trustworthy. It is part of the reason why scientists can create reliable data. However, like in society, control can also have a negative effect: exert too much of it and you stifle freedom, creativity, and exploration. This is a problem for science. As Hans-Jörg Rheinberger has highlighted, experimental systems cannot become too rigid and standardized because science depends on a certain openness to unfold its full potential; uncertainty and fuzziness are at the heart of the experimental process.. Full details
Add event