AMI Research Awards support higher education faculty leading cultural research related to machine learning (ML) and its impact on society
Status: Applications are now closed. Decisions for the 2023 application will be announced via email in September 2023. Please check back in 2024 for details on future application cycles.
As part of Google’s ongoing commitment to support faculty working on positive societal initiatives, Artists + Machine Intelligence (AMI) supports artists and academics pursuing social science research that looks at technology’s implications and impacts on individuals and society.
Through the current program, AMI provides $20,000 USD fellowships to permanent, full-time faculty at degree-granting institutions. Cash awards in this program are structured as unrestricted gifts to universities. Faculty members may apply with supporting collaborators. Both new and ongoing research are eligible. Google does not retain any intellectual property from the research.
We accept applications from permanent faculty at universities around the world. Funding is focused on supporting the faculty’s research. We do not allow applications from non-degree-granting research institutions. Since our funding is structured as unrestricted gifts to degree-granting universities, we cannot process awards to other institutions (e.g. not-for-profits institutions, hospitals, non-degree-granting research institutes, etc.) even if they are affiliated with a university. A principal investigator must apply in his or her capacity as a university professor and must be able to accept an award through that university.
See Award Recipients (in alphabetical order)
- Rebecca Allen, University of California, Los Angeles: Re-emergence
- Benjamin Bratton and Casey Rehm, Southern California Institute of Architecture (SCI-Arc): How Cities See: Machine Sensing and Cognition at an Urban Scale
- Mercedes Bunz, King’s College London and Eva Jäger, Serpentine Galleries: Tools That Make Meaning
- Jennifer Chen, Southern California Institute of Architecture (SCI-Arc): Views of Planet City: Pale Blue Dot Mk2
- Beth Coleman, University of Toronto: Speculative AI: Octavia Butler and Other Possible Worlds
- Rebecca Fiebrink and Phoenix Perry, Goldsmiths, University of London: Building interactive machine learning tools for game developers
- Anab Jain, Design Investigations, University of Applied Arts Vienna, in collaboration with Matthew Plummer-Fernández: Collaborative World Building with AI
- Frederic Fol Leymarie, Goldsmiths, University of London, in collaboration with Dr. Daniel Berio and Xiaobo Fu, Goldsmiths, University of London: Movement-centric calligraphy and graffiti generation
- Daniel Cardoso Llach, Ph.D. Carnegie Mellon University, in collaboration with Dr. Jean Oh, Carnegie Mellon University: Rethinking AI and Automation in Architecture
- Golan Levin, Carnegie Mellon University
- Tegan Maharaj, University of Toronto, in collaboration with the Cambridge Centre for the Study of Existential Risk: Explorisk: Visualizing Risk-Mitigation Scenarios
- Ciira Maina, Dedan Kimathi University of Technology: Acoustic monitoring of ecosystems in Kenya
- Lauren McCarthy, University of California, Los Angeles: SOMEONE
- Michael Rau, Stanford University: Digital Performers Using AI
- Casey Reas, University of California, Los Angeles: Expanded Cinema
- Tivon Rice, University of Washington: Models for Environmental Literacy
- Joshua Trees, Royal College of Art, in collaboration with Yvan Martinez and Krister Olsson: Public Foundry
- Matthew Yee-King, Goldsmiths, University of London and Louis McCallum, University of the Arts, London: Network-bending Differentiable Digital Signal Processing (DDSP)
- Mimi Zeiger and Casey Rehm, Southern California Institute of Architecture (SCI-Arc): Backyard Home Data Explorer: AI and the Future of Housing