Recorded 19 February 2022. Fei Fang of Carnegie Mellon University presents "Machine Learning and Game Theory for Social Impact" at IPAM's Mathematics of Collective Intelligence Workshop. Abstract: Many real-world challenges we face involve multiple self-interested decision-makers who interact with each other in an environment full of uncertainty. This talk covers work our work on machine learning and game theory and how the techniques developed are used to tackle challenges in security, environmental sustainability, and food security domains. One of our early works has been deployed by the US Coast Guard for protecting the Staten Island Ferry in New York City since April 2013. Another work has led to the deployment of PAWS (Protection Assistant for Wildlife Security) in multiple conservation areas around the world, which provides predictive and prescriptive analysis for anti-poaching efforts. In addition, their recent work has been used by 412 Food Rescue, a non-profit volunteer-based food rescue platform to improve their operational efficiency.