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2025 Call for Research Proposals | Science Hub for Humanity and Artificial Intelligence

The Science Hub is a collaborative effort between UCLA and Amazon with the mission to address humanity’s pressing challenges by cross-pollinating academic and industry research that harnesses the power of artificial intelligence. Since the hub's inception in 2021, the program has funded 45 research projects and 50 doctoral fellowships.

The UCLA Science Hub for Humanity and Artificial Intelligence solicits research proposals with innovative approaches to a wide range of topics related to artificial intelligence.

Proposals should seek to advance research in one or more of the following topic areas:

  • Hardware-software co-design for AI at scale
  • Reasoning and inference-time computation
  • Multimodal Generative Models: time-series, structure data, sensor data
  • Responsible AI: large model alignment, security, privacy, attribution, copyright
  • AI for Medicine and Healthcare
  • Foundations of AI and Machine Learning
  • AI in Business, Law, Humanities and Art
  • Efficient AI: low-resource training and inference
  • Databases and Distributed Systems

Please go to announcement website for submission guidelines. Questions can be sent to the Science Hub Director, Jens Palsberg, palsberg@ucla.edu.

Go to Application Homepage

Award Amount and Details

Award Details

Each proposed project is limited to a budget of $100,000 in direct costs.  Depending on the proposed scope of work and collaborators involved, projects may be selected for either gift funding or sponsored research funding. 

Deadlines and Date Information

Due Date
2025-03-12

Eligibility Information

Who's Eligible
Academic appointees
Eligibility Details

This call is open to all current active UCLA faculty across all disciplines.

Information Source
Information provided by administering unit

Administering Unit
Science Hub for Humanity and Artificial Intelligence
Funding Type
Research
Changed
Important Note These opportunities have been collated for the benefit of the campus community, but in all cases viewers should refer to the pages of the hosting unit for the most current/accurate information.