Keith Burghardt, PhD
Assistant Professor
School of Data Science
University of North Carolina at Charlotte
Research Overview
My work involves uncovering and addressing biases in data, from statistical biases like Simpson's paradox, to biases incorporated into AI models.
My main esearch is on understanding the lifecycle of fraud and extremism. I also list some past side-research as well.
We explore how fraud and extremism spreads on social media.
We explore biases in geospatial data, such as the Modifiable Areal Unit Problem, and how addressing these biases reveal new insights in data.
We explore emergent phenomena, such as the growth of networks or city scaling.
We address biases in models, such as AI fairness, and biases embedded in data, such as Simpson's paradox or survivorship bias.
Click below to explore past research
