Universiteit Leiden

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Mind, Text, and Mining Seminar Series

Wednesday 14 June 2017
Pieterskerkhof 6
2311 SR Leiden

“Mind, Text and Mining” is a multidisciplinary group of researchers in the Netherlands which organises regularly occurring seminars to explore the affordances and limitations of scholarship based on quantitative and algorithmic methods. The main aim of these seminars is to facilitate discussions of new methodologies and to exchange best practices in research projects based on text and data mining.

In various academic fields texts are analysed for indicators of speaker personality, or speaker emotions like disgust, anger, and happiness: concepts which have been shown to drive political behaviour or to represent opinions, attitudes or emotionality in relation to certain topics. Quantitative analysis or ‘mining’ of these psychological constructs in the study of historical, social, and political phenomena is burgeoning.

To learn more about these developments, a multidisciplinary group of interested and active researchers in the Netherlands organises a regularly occurring seminar in which best practices in applied work, new methodologies, and substantive new findings are exchanged and discussed. Following the fruitful first meeting at the NIOD institute for War, Holocaust and Genocide studies in Amsterdam, we would like to invite you to join us for the second Mind, Text, and Mining seminar hosted by the Leiden University Centre for Digital Scholarship. This seminar continues a discussion of central methodological issues and focuses more specifically on the challenges posed by the need to interpret and to explain the results of analyses based on quantitative methods.

The programme of the second Mind, Text, and Mining seminar is as follows:

-       Welcome by Laurents Sesink, head of the Centre for Digital Scholarship

-       Presentation on the relationship between data, algorithms and interpretation by dr. Peter Verhaar

-       Roundtable discussion on the theoretical issues underpinning research based on text and data mining

The number of participants is limited. If you want to participate, please send an email to Martijn Schoonvelde (h.j.m.schoonvelde@vu.nl).

Centre for Digital Scholarship Home Page

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