Social Prediction

Social prediction focuses on forecasting future human behavior, encompassing diverse areas like social media popularity, school dropout rates, and even pedestrian movement. Current research emphasizes developing robust predictive models, often employing deep learning ensembles and hierarchical encoder-decoder networks, to account for complex factors like social influence and individual variability. These advancements aim to improve the accuracy and fairness of predictions, with applications ranging from optimizing online content delivery to enhancing early intervention strategies in education and improving safety in autonomous systems. A key challenge lies in addressing the performative nature of prediction, where the act of prediction itself can alter the predicted outcome.