Humanist Discussion Group, Vol. 36, No. 44.
        Department of Digital Humanities, University of Cologne
                      Hosted by DH-Cologne
                       www.dhhumanist.org
                Submit to: humanist@dhhumanist.org




        Date: 2022-06-01 13:12:35+00:00
        From: Minina, Elena <elena.minina@kcl.ac.uk>
        Subject: Corpus research final seminar: June 9, 1-2pm

Dear all,

We are delighted to finish this year’s /Corpus research in linguistics
and beyond
<https://www.kcl.ac.uk/events/series/corpus-research-in-linguistics-and-beyond> 
seminar series with a talk on data theory by our Swedish colleague Simon
Lindgren. The seminar will take place on June 9, from 1 to 2 pm. Please,
find the details of the seminar as well as the meeting link below. We
look forward to seeing you next week.

Also, the recording of our last seminar is now available at the link
below – feel free to listen in:

https://www.kcl.ac.uk/events/qualitative-data-as-spoken-corpus-thoughts-on-
future-proofing-transcription-practice

Elena, Chris and Clyde.

-----
Data Theory: Interpretive Sociology and Computational Methods

Social sciences, including corpus studies, have long grappled with the
relationship between qualitative and quantitative research. As the
quantification of our societies intensifies and the need to move beyond
the qualitative/quantitative divide becomes more urgent, Simon Lindgren
advances an argument towards developing a critical science of data, by
bringing together the interpretive theoretical and ethical sensibilities
of social science and the predictive and prognostic powers of data
science and computational methods.

Simon argues that the renegotiation of theories and research methods
that must be made in order for them to be more relevant and useful can
be fruitfully understood through the metaphor of hacking social science:
developing creative ways of exploiting existing tools in alternative and
unexpected ways to solve research problems. This can be, for example,
through leveraging machine learning methods, such as topic modelling or
word embeddings in corpus analysis, to achieve 'distant readings', while
retaining elements of 'close reading' and critical theoretical analysis.
The talk will cover both be conceptual and hands-on aspects, and will be
of interest to a broad range of corpus and data science researchers.

Speaker:

Simon Lindgren is Professor of Sociology at Umeå University, Sweden. His
research is about the relationship between digital technologies and
society. Lindgren studies the transformative role of digital
communication technologies (internet and social media), and the
consequences of datafication, algorithms and AI, with a particular focus
on politics and power relations. He uses combinations of methods from
computational social science and network science, and analytical
frameworks from interpretive sociology and critical theory. Lindgren’s
books include “Data Theory” (2020), “Digital Media and Society”
(2017;2022), and “New Noise” (2013). More information can be found at
www.simonlindgren.com


Meeting link:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmUyZWZjZWMtMzA1Zi00NWVkL
WE1OTktNmZiODBlYzNiYWVm%40thread.v2/0?context=%7b%22Tid%22%3a%228370cf14-16f3-4c
16-b83c-724071654356%22%2c%22Oid%22%3a%228f20e3a0-c3f3-4fba-
af15-a5d35c0d7af6%22%7d


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