Data Art & Science (DAS) Talk: Education/Manuela Naveau/Photo: vog.photo

Data Art & Science (DAS) Talk: Education

Satoshi Mabuchi (JP), Cyntha Wieringa (NL), Manuela Naveau (AT)

POSTCITY, First Floor, Open Futurelab
Thu 5. Sep 2024 15:00 – 15:45

This talk brings together representatives from Shiga University and the Art University in Linz to talk about data art, its potential for innovative problem-solving, and how to integrate this new practice into educational programs.

The discussion is valuable for the long-term vision of the Data Art & Science (DAS) project that aims to integrate a DAS educational program at Shiga University.

Language: EN

Bios

  • Photo: Denise Hirtenfelder

    Cyntha Wieringa

    NL

    Cyntha Wieringa is active as a Researcher & Artist at the Ars Electronica Futurelab and is the moderator of the panel discussion ‘Artistic Exploration in Shared Hybrid Spaces: Creative Perspectives on Future XR Embodied Collaboration in SHARESPACE’. She can provide inside knowledge as the project manager of the SHARESPACE project and has additionally closely collaborated with the artists that participate in the panel.

  • Photo: Anette Friedel

    Manuela Naveau

    AT

    Manuela Naveau is a university professor, curator and artistic researcher. Together with Gerfried Stocker, she developed the Ars Electronica Export department, which she headed for almost 18 years. Since 2020, Manuela Naveau has been a university professor for Critical Data at the Department of Interface Cultures / Institute for Media at the University of Arts Linz, which she has headed since February 2023 and where she recently initiated the Critical Data Research Group.

  • Photo: 2023 Satoshi Mabuchi

    Satoshi Mabuchi

    JP

    Satoshi Mabuchi is an associate professor in the Department of Art Education and Painting, Faculty of Education, Shiga University, Japan. His main research themes in art education are interdisciplinary project-based learning and art appreciation education. Mabuchi is currently developing educational programs for data art and science.

Credits

Toyota Coniq Alpha, Shiga University, Ars Electronica Futurelab