Machine Intelligence and Data Science Lab

By leveraging advanced machine learning and data mining algorithms, we focus on the analysis, experimental evaluation, design and implementation of theory, logic and systems, with an emphasis on developing explainable, interpretable and theoretically sound tools to create new and innovative technology.

The MINDS Lab is led by Dr. Jamell Dacon

Research Interests:

Artificial Intelligence, Machine Learning, Computational Social Science and Natural Language Processing, especially in areas of Fairness & Bias in AI/ML/NLP, Human-Computer Interaction, Data Science for Social Good, and AI + X: Education and Healthcare with applications for people with disabilities (PWDs), criminal justice, and more. Specifically, focused on empirically modeling social factors such as Race, Gender & Language, and conceptualizing and mitigating socioethical implications (e.g., bias, stereotypes, and representational harms) in new and innovative technology.