Data science and artificial intelligence (AI) have shown the capability to generate new knowledge, fuel innovation, and deal with some of society's most pressing problems. However, biases inherent in humans and institutions can be perpetuated and magnified by "big data" and machine learning tools.  Now, a new National Science Foundation Research Traineeship (NRT) award of nearly $3 million will enable Stony Brook University to provide interdisciplinary cross-training to PhD students in the computational and data sciences alongside PhD students in the human-centered sciences to detect and address biases in data, models, people, and institutions.