Human–AI Ecosystems & SheLL

Instead of treating models as isolated tools, we view AI as part of a larger ecosystem of humans and agents that learn from each other over time.

In this vertical, we explore:

• SheLL (Shared Experience Lifelong Learning) – frameworks for sharing knowledge and experience across institutions, agents, and tasks.
• Multi-agent collaboration – how AI systems and humans can coordinate, specialize, and exchange information.
• Autonomous research assistants – algorithmic foundations for agents that can help design studies, run experiments, and iterate on ideas.

These projects aim to move from single-model training toward continuous, collective intelligence that accelerates scientific discovery.