34.1552, Calls: Cultural Data Analytics Conference 2023

Thu May 18 02:05:02 UTC 2023

LINGUIST List: Vol-34-1552. Thu May 18 2023. ISSN: 1069 - 4875.

Subject: 34.1552, Calls: Cultural Data Analytics Conference 2023

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Date: 18-May-2023
From: Andres Karjus [andres.karjus at tlu.ee]
Subject: Cultural Data Analytics Conference 2023

Full Title: Cultural Data Analytics Conference 2023
Short Title: CUDAN2023

Date: 13-Dec-2023 - 16-Dec-2023
Location: Tallinn, Estonia
Contact Person: Maximilian Schich
Meeting Email: cudan at tlu.ee
Web Site: https://cudan.tlu.ee/conference/

Linguistic Field(s): Computational Linguistics; Text/Corpus
Linguistics

Call Deadline: 24-Jul-2023

Meeting Description:

We invite submissions for the Cultural Data Analytics Conference 2023
/ CUDAN 2023, organized by the ERA Chair project for Cultural Data
Analytics at Tallinn University, generously funded by the European
Commission. Inspired by initial large gatherings of the cultural
analytics community, including UCLA/IPAM 2016, and multidisciplinary
conferences such as NetSci, IC2S2, or CSS, we aim to bring together
researchers, practitioners, and stakeholders using methods of cultural
data analytics to understand cultures and cultural production. This
particularly includes multidisciplinary combinations of
quantification, qualitative inquiry, computational analysis, and
visualization to make sense of large cultural datasets, including
visual, audiovisual, linguistic, and other genres of socio-cultural
materials. The conference is scheduled to happen in Tallinn, Estonia
from December 13 to 16, 2023, including a number of leading invited
practitioners, peer-reviewed talks, and poster contributions from the
community.

Keynotes
– Petter Holme, Aalto University, Helsinki, Finland
– Béatrice Joyeux-Prunel, Université de Genève, Switzerland
– Mauro Martino, Visual Artificial Intelligence Lab, IBM Research,
Boston, USA
– Anu Masso, TalTech, Tallinn, Estonia

Call for Papers:

Cultures and cultural production are multifaceted phenomena, which,
like other complex systems, cannot be fully understood from the
perspective of a single specific discipline. This is why the core
mission of cultural data analytics is to join forces and make headway
across disciplines and domains of expertise. Feeding into this
mission, we welcome both multidisciplinary submissions, and
contributions from specific disciplines, which aim to benefit from
discussion in a multidisciplinary forum.

We encourage discussion towards a deeper understanding of cultures and
cultural production including aspects, methods, and intersections of
the following fields:
– cultural analytics, culturomics, and socio-cultural data science;
– digital humanities and computational humanities;
– cultural evolution, including experimental and observational
approaches;
– cultural complexity science, network science, computational social
science, and social physics;
– computational linguistics, quantitative aesthetics, critical
computer vision, and machine learning;
– art history, cultural history, cultural semiotics, film studies,
musicology, and urbanism;
– artistic research, algorithmic curation, and AI art (including
aspects of cultural data analysis);
– creative industries research, media economics, and policy studies;
– data journalism, data science, and information visualization.

Contributions ideally address at least one of the following subject
domains (in line with state-of-the-art conceptual reference models for
cultural data):
– material aspects, including artworks, architecture, texts, images,
sound, film, digital media, databases, and other forms of tangible
cultural heritage;
– conceptual aspects, including cultural practices, rituals, theories,
policies, data models, narratives, imagined communities, and other
forms of intangible cultural heritage;
– social aspects, including human behaviour, human mobility, social
networks, and social media;
– temporal aspects, from slow historical processes to turbulence in
today’s economy of attention;
– spatial aspects of historical topography, cultural geography, and
urban dynamics;
– event aspects, which combine the above aspects in cultural
co-production, event series, tourism, etc.;
– network aspects of socio-cultural interaction, including the
inherent ecology of complex networks as documented in the structure
and dynamics of large cultural knowledge graphs or blockchains
associated with the crypto-art-market, for example.

We invite authors to submit a single-page abstract pdf including a
(mandatory) descriptive figure and caption by the 24th of July 2023
via our OpenReview submission system. We accept contributed talks,
lightning talks, and posters (please indicate your preference). Review
is single-blind.

SUBMIT HERE:
https://openreview.net/group?id=CUDAN.tlu.ee/2023/Conference

The CUDAN 2023 main conference programme (December 14-16, 2023) will
include six keynotes covering the spectrum of relevant disciplines, a
lightning talk session in the plenary, parallel sessions, and a poster
section. The latter will run throughout the whole conference in the
coffee and lunch area that is collocated with the plenum. The
conference will close with a best poster and best paper award
ceremony.

The pre-conference day (December 13, 2023) will feature introductory
workshops by CUDAN senior fellows, covering aspects of cultural data
analysis and visualization using Python, R, Tableau, and the
Collection Space Navigator.
Before and after the main conference, we will offer sightseeing tours,
including the medieval Tallinn old town and Christmas market (among
many reasons to visit Estonia).

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