Member of the Programme committee CUDAN 2023

Winter morning in Tallinn. CC-BY Maximilian Schich

About CUDAN 2023 #

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 CCS, we aim to bring together researchers, practitioners, and stakeholders using methods of cultural data analytics to understand cultures and cultural production. 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.

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, 2023
Main conference: December 14-16, 2023

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). We strive for an in-person event to maximize community interaction, yet we will offer a limited amount of remote presentation slots. Review is single-blind.


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 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.

For updated information, please re-check the conference website

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