WELCOME TO TEAMCORE
The Teamcore group is focused on "AI for social impact". 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 driven by interdisciplinary collaborations in public health/conservation and public safety, 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 Governmental or 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.
Milind Tambe
Gordon McKay Professor of Computer Science &
Director of the Center for Research on Computation and Society (CRCS)
Harvard University
Principal Scientist & Director, "AI for Social Good" Google Research
MEET THE TEAMCORE MEMBERS
Meet our current Teamcore members.
Check out our most recent events.
Soon to come, watch Teamcore in action: Seminars and other events featuring Teamcore members!
RESEARCH & PIONEERING SYSTEMS
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.
built are the first
large scale applications of
influence maximization
in social networks for
real world impactful
public health outcomes.
Learn more about our current projects facilitated by AI in Public Health.
With respect to conservation, a key example is the PAWS AI system developed by our team that has been deployed in collaboration with wildlife conservation agencies to assist rangers around the world in protecting endangered wildlife. PAWS led to removals of 1000s of traps used to kill and maim endangered wildlife in national parks in countries such Cambodia and Uganda. Furthermore, PAWS is integrated with the SMART software, making PAWS available for use at 100s of national parks around the globe. The research areas we focus on here are merging game theory and machine learning, in an approach called Green Security Games.
These systems demonstrate
the first use computational game theory for real-world operational security.
Learn more about Teamcores work on AI for Public Safety.
TEAMCORE IN THE NEWS
International Joint Conference on AI John McCarthy Award lecture
[2018, 45 min]
Wildlife guardians: unleashing AI to safeguard nature worldwide [2023, 1 hr 30 min]
Cambridge Conservation Initiative Seminar [2021, 1 hour]
TEAMCORE HISTORY
The Teamcore group started in 1995. The name derives from early multiagent research we conducted in multiagent teamwork, and also inspired by the concept of the "core" in cooperative game theory. Some milestones in terms of systems and key papers of our research group:
STEAM multiagent system, offering reusable rules for teamwork: Won the Influential paper award at AAMAS conference 2012
Elective Elves multiagent system, a pioneering system of office personal assistants
ADOPT first asynchronous complete algorithm for distributed constraint optimization
ARMOR security games deployed at LA airport first application of computational game theory for operational security
IRIS security games for optimal randomized scheduling air marshals deployed by the Federal Air Marshals
PROTECT security games systems deployed by the US Coast Guard for optimized patrolling
PAWS system for wildlife protection actually operated to remove snares from national parks in Uganda and Cambodia
CHANGE system for HIV Prevention first large scale application of influence maximization in social network for public health
LATEST NEWS
- Machine Learning for Maternal Care
- Conservationists are using artificial intelligence to map out the best ways for saving threatened wildlife and resources
- Teamcore Lab celebrates 27th Anniversary
- Teamcore's Lily Xu Wins "Doing Good with Good OR - Student Paper Competition"
- These New Technologies Could Transform Wildlife Conservation
- The Global Health Innovators Seminar — Prof. Milind Tambe