The Teamcore group is focused on "AI for social good". We are focused on advancing AI and multiagent systems research for social impact in topics such as public health, conservation and public safety and security. We focus on fundamental research problems in multiagent systems, machine learning, reinforcement learning, game theory, bandit algorithms that are driven by these topics, ensuring a virtuous cycle of research and real-world applications. We simultaneously aim to achieve real-world social impact, often in domains with marginalized or endangered communities, and those that have not benefited from AI research in the past.

The key question we often focus on is how to optimize our limited intervention resources in these domains, and often take the form of decision aids to assist Non-Governmental (and Governmental) Organizations (NGOs). Our research is in service of the inspiring work done by these NGOs around the world, to empower them to directly use our AI tools and services; ultimately we wish to avoid being gatekeepers to this AI technology for social impact. 

Our group has a long track record of building pioneering and influential systems that have achieved social impact in practice. Read below to learn about our three large domain areas.