Data Justice

Data justice examines the ethical and societal implications of data collection, use, and governance, aiming to ensure fairness, equity, and accountability in data-driven systems. Current research focuses on identifying and mitigating biases in algorithms used for misinformation detection and other applications, developing frameworks for responsible data practices, and analyzing the power dynamics inherent in data ecosystems. This field is crucial for promoting social good by addressing systemic inequalities amplified by data technologies and informing the development of more just and equitable data practices across various sectors.