Positive Externality

Positive externalities, where the actions of one entity unintentionally benefit others, are a significant area of research across diverse fields. Current work focuses on designing incentive mechanisms, often employing auction frameworks, reinforcement learning (including algorithms like LOPT), and neural networks, to address the challenges of harnessing these benefits in settings ranging from data markets and crowdsourced information sharing to online advertising. These efforts aim to improve efficiency and social welfare by internalizing externalities, leading to more equitable and beneficial outcomes in various applications.