detecting disciplinarity 11 june 2014 clare hooper [email protected] eins 4 th plenary...

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Detecting disciplinarity 11 June 2014 Clare Hooper [email protected] EINS 4 th Plenary Meeting

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Page 1: Detecting disciplinarity 11 June 2014 Clare Hooper cjh@it-innovation.soton.ac.uk EINS 4 th Plenary Meeting

Detecting disciplinarity

11 June 2014

Clare [email protected]

EINS 4th Plenary Meeting

Page 2: Detecting disciplinarity 11 June 2014 Clare Hooper cjh@it-innovation.soton.ac.uk EINS 4 th Plenary Meeting

© University of Southampton IT Innovation Centre 2014

• How we do interdisciplinary work is important• Quality• Credibility• Insight• Communication

Why analyse disciplinary representation?

dtc.webscience.ecs.soton.ac.uk/about-webscience-main-site/

Page 3: Detecting disciplinarity 11 June 2014 Clare Hooper cjh@it-innovation.soton.ac.uk EINS 4 th Plenary Meeting

© University of Southampton IT Innovation Centre 2014

1. Collate data corpus

2. NLP to extract topics

3. Analysis: graphing, visualisation

4. Analysis of ‘communities’

5. Analysis of WebSci conference series

6. Expert survey

Method

saffron.deri.ie

Page 4: Detecting disciplinarity 11 June 2014 Clare Hooper cjh@it-innovation.soton.ac.uk EINS 4 th Plenary Meeting

© University of Southampton IT Innovation Centre 2014

• Identified application contexts

• Possible impact of co-location

• Term / discipline links vary• Discipline presence varies• Disparity: terms / CFPs

and expert expectations

Findings in WebSci