Current Research Programs
Trustworthy Network Science: As the use of machine learning (ML) algorithms in network science grows, so do the issues of explainability, transparency, fairness, robustness, etc. We address issues of trustworthy ML in network science.
Just Machine Learning: ML systems are not islands. They are part of broader complex systems. To understand and mitigate the risks and harms of using ML, we remove our optimization blinders and study the broader complex systems in which ML systems operate.