Objective
In 2022, the world appeared transformed by a new consumer artificial intelligence (AI), which has dazzled observers with the ability to generate text, images or music. This transformation has been brought about not by general AI but by deep learning, a specific subset of machine learning that has come to dominate AI scientifically and commercially. This has given rise to an emergent ‘deep culture’, which is produced with universal data extraction and on an industrial scale. While these developments have led to much public anxiety, we lack an understanding of the fundamental shift in cultural relations through deep learning, and what this means for cultural production and analysis.
DEEP CULTURE is the first project to develop ‘deep culture’ as an object of study as well as a method and capacity to attend to this historical moment. It claims that the relations between culture and deep learning can be reconfigured if humanistic ideas are included, which address the complexities of culture and values of difference. To this end, the project advances a radical interdisciplinary framework at the intersection of digital humanities, cultural studies and computer science. DEEP CULTURE has three main objectives: i) to develop a critical inquiry about deep culture through epistemic translations of keywords and practices in deep learning; ii) to advance methodologies for a critical inquiry with deep culture by reconfiguring current deep learning techniques and practices through humanistic ideas and values; iii) to promote productive, critical relationships with and beyond deep culture by collectively contesting deep learning’s cultural enactments and co-producing new ones with diverse publics. Empirically, the project is situated at three archival sites: historical, real-time and incidental archives.
Based in Amsterdam, DEEP CULTURE is led by the first Distinguished University Professor in AI and Humanities and an expert on interdisciplinary research collaborations.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-ADG
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1012WX Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.