Sandra Alvaro sandraalvaro at enlaciutat.es
Mon Jun 19 07:23:28 PDT 2023

This conference could be of interest to some members in this list.

Dear Cultural Data Analytics friends & colleagues,

We invite abstract 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 

Conference website / up-to-date information: 
Key Dates

Abstracts due:  July 24, 2023 (23:59 CET)
Notification of acceptance: September 14, 2023
Conference: December 13-16, 2023
Pre-conference workshops: December 13
Main conference: December 14-16

Keynotes confirmed

Petter Holme, Aalto University, Helsinki, Finland 
Béatrice Joyeux-Prunel, Université de Genève, Switzerland 
Mauro Martino, Visual Artificial Intelligence Lab, IBM Research, Boston, 
USA (https://www.mamartino.com/)
Anu Masso, TalTech, Tallinn, Estonia (https://taltech.ee/...)
Call for Abstracts

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 

Conference scope

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 
– 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 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.

Conference program

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).

We are further planning a meet the publisher's session and other 
opportunities for relevant stakeholders, including exhibition booths.

If you or your institution/company is interested in participation, 
please contact us via email to cudan at tlu.ee, ideally before September 
14, 2023.

Registration & Accommodation

As we are fully funded through the European Commission, there will be no 
conference fee for accepted participants, with the exception of the 
conference dinner. Accepted participants are required to register and 
confirm their attendance. Information regarding accommodation, and a 
form to order VISA support letters, will be announced on the conference 
website (https://cudan.tlu.ee/conference/).
Organizing chair

Maximilian Schich, CUDAN ERA Chair holder
Organizing committee

Andres Karjus, CUDAN Senior Fellow (computational linguistics)
Ksenia Mukhina, CUDAN Senior Fellow (computer science)
Mila Oiva, CUDAN Senior Fellow (cultural history)
Mikhail Tamm, CUDAN Senior Fellow (social physics)
Sandra Kaljumäe, CUDAN Project coordinator
Sirli Peda, Tallinn University Conference Center
Sirli Taniloo, Tallinn University Conference Center

Programme committee confirmed

James Abello Monedero, Rutgers University, US
Ruth Ahnert, Queen Mary University of London, UK
Sebastian Ahnert, University of Cambridge, UK
Kim Albrecht, Artist, Berlin, DE
Eduardo Altmann, The University of Sydney, AU
Sandra Alvaro, Universitat Autònoma de Barcelona, ES
Stefano Balietti, Universität Mannheim, DE
Clarisse Bardiot, Université Rennes 2, FR
Maria Christina Binz-Scharf, CUNY City College of NY, US
Chico Q Camargo, University of Exeter, UK
Nicola Carboni, Université de Genève, CH
Damiano Cerrone, Tampere University, FI
Javier Cha, University of Hong Kong, HK
CJ Chen, Nanjing University, CN
Ana Clemente, University of Barcelona, ES
Bronwyn Coate, RMIT University, AU
Michele Coscia, IT-University of Copenhagen, DK
David J. Crandall, Indiana University, US
Christine Cuskley, Newcastle University, UK
Maria-Rita D'Orsogna, University of California, Los Angeles, US
Kate Elswit, University of London, UK
Sara Irina Fabrikant, University of Zurich, CH
Elena Fedorovskaya, Rochester Institute of Technology, US
Jianbo Gao, University of California, Los Angeles, US
David Garcia, Universität Konstanz, DE
Bruno Goncalves, Data For Science, Inc., US
Jack Grieve, University of Birmingham, UK
Daria Gritsenko, University of Helsinki, FI
Thilo Gross, HIFMB & Universität Oldenburg, DE
Ryan Heuser, Princeton University, US
Yurij Holovatch, National Academy of Sciences of Ukraine, UA
Natalie M Houston, University of Massachusetts at Lowell, US
Ana Jofre, SUNY Polytechnic Institute, US
Mauri Kaipainen, Perspicamus, Helsinki, FI
Folgert Karsdorp, Meertens Institute, NL
Lindsay King, Stanford University, US
Harald Klinke, LMU Munich, DE
Ilias Kyriazis, Fachhochschule Potsdam, DE
Kristoffer Laigaard Nielbo, Aarhus Universitet, DK
Lik-Hang Lee, Hong Kong Polytechnic University, HK
Liina Lindström, University of Tartu, EE
Jordi McKenzie, Macquarie University, AU
David Mimno, Cornell University, Ithaca/NY, US
Daria Morozova, Ecole des Hautes Etudes Commerciales, FR
Cassini Nazir, University of North Texas, US
Maarja Ojamaa, University of Tartu, EE
Giovanni Petri, Northeastern University London, UK
Iyad Rahwan, Max Planck Institute for Human Development, DE
Louis Michael Shekhtman, Northeastern University, Boston, US
André Skupin, San Diego State University, US
Oleg Sobchuk, Max Planck Institute for Evolutionary Anthropology, DE
Juan Luis Suárez, University of Western Ontario, CA
Pablo Suarez-Serrato, Universidad Nacional Autónoma de México, MX
Nina Tahmasebi, Språkbanken (The swedish language bank), SE
Timothy R Tangherlini, University of California, Berkeley, US
Mark Taylor, University of Sheffield, UK
Mikko Tolonen, University of Helsinki, FI
Stephen Miles Uzzo, National Museum of Mathematics, US
Melvin Wevers, University of Amsterdam, NL
Hyejin Youn, Northwestern University, Evanston, US

For updated information, please visit the conference website 

In case of questions, please do not hesitate to contact us via email to 
cudan at tlu.ee.

We would love to welcome you in Estonia in December 2023!

Kind regards,
Sandra Alvaro
member of the programme committee

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