PhD Student and Part-Time Teacher, Faculty of Social Sciences
Prior to her PhD studies, Judit Varga has worked as a Research Assistant at the University of Southampton and at Trinity College Dublin. Her research focused on socio-technical performances (flight deck design and systemic risk assessment in aviation) as well as the epistemology of social and behavioural sciences.
Judit completed a MSc in Applied Psychology at Trinity College Dublin in 2013. In her MSc research she focussed on cognitive scientific approaches to intersubjective and lived experience, embodiment and joint action. Prior to that, Judit completed her BA in Psychology at Eotvos Lorand University in 2012 in Budapest, Hungary.
Judit is interested in teaching research methods, and in particular, mixed-methods research. Currently she assists with Quantitative Research Design and Practice (L32628) seminars.
Judit's research explores the epistemic effects of geotagged social media data analysis on scientific research. Geotagged social media data - such as geolocated tweets, Instagram anf flickr posts -… read more
Judit's research explores the epistemic effects of geotagged social media data analysis on scientific research. Geotagged social media data - such as geolocated tweets, Instagram anf flickr posts - have become available relatively recently. Most scientific papers that analyse such data have been published since cc. 2010. Geotagged social media data come about as a result of situated activities - traditionally studied with interpretive methods, such as walk-along interviews and participatory mapping - and can also be analysed using computational techniques. Scholars who use this data come from various disciplinary backgrounds, such as computer science, geography, physics and sociology. Judit draws on concepts from STS and scientometrics, and uses mixed methods - participant observation, interviews and computational data analysis, with a focus on network scientific techniques - to explore the epistemic characteristics of this nascent and multidisciplinary research area. Judit's research can inform science policy - with a focus on responsible science metrics - and research methods education in the social sciences, as 'big data' analysis is becoming increasingly popular.
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