Emanuel Moss researches issues of fairness and accountability in machine learning and is a research assistant on the Pervasive Data Ethics for Computational Research (PERVADE) project at the Data & Society Research Institute. He is a doctoral candidate in cultural anthropology at the CUNY Graduate Center, where he is studying the work of data science from an ethnographic perspective and the role of data scientists as producers of knowledge. He is particularly interested in how data science is shaped by technological, economic, and ethical constraints and concerns.
Emanuel holds a B.A. from the University of Illinois and an M.A. from Brandeis University. He has previously worked as a digital and spatial information specialist for archaeological and environmental projects in the United States and Turkey.