Project type
Platform
Year
Applicant institution
Applicant
Team
Duration
2024–2025
Funding
HES-SO RCDAV
Co-funding
HEAD – Genève (HES-SO)

Leading institution: HEAD – Genève

Project leader: Alexia Mathieu

Project team: Alexia Mathieu, Douglas Edric Stanley, Vytas Jankauskas

Financing: HES-SO

Co-financing: HEAD – Genève (HES-SO)

The aim of this project is to identify new creative approaches through the construction of personalized datasets and the training of generative models in the fields of art and design. The methodology developed and documented in this project will enable artists and designers to emancipate themselves in part from the major generative models. We will produce an open-access "Datacraft Handbook", a mix of references, use cases, tutorials and online tools. Its function will be to help artists and designers explore their creative practices in relation to machine-leaming technologies.

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