Sustainable Consumption

Sustainable consumption research focuses on minimizing the environmental and societal impact of product and service use, aiming to balance individual needs with long-term resource availability and equitable access. Current research employs diverse computational models, including machine learning (e.g., deep reinforcement learning, neural networks), agent-based simulations, and multi-objective optimization algorithms, to understand and promote sustainable behaviors, often analyzing large datasets of consumer goods and their environmental footprints. These efforts are significant for informing policy and developing interventions that encourage sustainable practices, with applications ranging from personalized recommendations to resource management strategies.