Hanna's research is on ML and NLP for social science. As a complement to this agenda, she also studies issues of fairness, accountability, and transparency in ML.
She has co-organized two of the three FATML workshops, and also co-founded the annual Women in Machine Learning Workshop, which is now in its eleventh year.