An Experience-Centered Approach to Training Effective Data Scientists. - Kit T. Rodolfa; Adolfo De Unánue; Matt Gee; Rayid Ghani (Big Data, 2019)

A Clinical Approach to Training Effective Data Scientists. - Kit T. Rodolfa; Adolfo De Unánue; Matt Gee; Rayid Ghani (CoRR, 2019)

Case study: predictive fairness to reduce misdemeanor recidivism through social service interventions. - Kit T. Rodolfa; Erika Salomon; Lauren Haynes; Iván Higuera Mendieta; Jamie Larson; Rayid Ghani (FAT*, 2020)

Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. - Pedro Saleiro; Kit T. Rodolfa; Rayid Ghani (KDD, 2020)

Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. - Kasun Amarasinghe; Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (CoRR, 2020)

Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? - Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (CoRR, 2020)

Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. - Kit T. Rodolfa; Hemank Lamba; Rayid Ghani (Nat. Mach. Intell., 2021)

An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. - Hemank Lamba; Kit T. Rodolfa; Rayid Ghani (SIGKDD Explor., 2021)

A Conceptual Framework for Using Machine Learning to Support Child Welfare Decisions. - Ka Ho Brian Chor; Kit T. Rodolfa; Rayid Ghani (CoRR, 2022)

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. - Emily Black; Rakshit Naidu; Rayid Ghani; Kit T. Rodolfa; Daniel E. Ho; Hoda Heidari (EAAMO, 2023)

Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. - Rayid Ghani; Kit T. Rodolfa; Pedro Saleiro; Sérgio M. Jesus (KDD, 2023)

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. - Kasun Amarasinghe; Kit T. Rodolfa; Sérgio M. Jesus; Valerie Chen; Vladimir Balayan; Pedro Saleiro; Pedro Bizarro; Ameet Talwalkar; Rayid Ghani (AAAI, 2024)

Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. - Catalina Vajiac; Arun Frey; Joachim Baumann 002; Abigail Smith; Kasun Amarasinghe; Alice Lai; Kit T. Rodolfa; Rayid Ghani (AAAI, 2024)

Regulating AI Adaptation: An Analysis of AI Medical Device Updates. - Kevin Wu; Eric Wu; Kit T. Rodolfa; Daniel E. Ho; James Zou 001 (CHIL, 2024)

Locating and measuring marine aquaculture production from space: a computer vision approach in the French Mediterranean. - Sebastian Quaade; Andrea Vallebueno; Olivia D. N. Alcabes; Kit T. Rodolfa; Daniel E. Ho (CoRR, 2024)

Artificial Intelligence in Environmental Protection: The Importance of Organizational Context from a Field Study in Wisconsin. - Nicolas Rothbacher; Kit T. Rodolfa; Mihir Bhaskar; Erin Maneri; Christine Tsang; Daniel E. Ho (CoRR, 2025)