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Maria De-Arteaga

Assistant Professor

Department:     Information, Risk & Operations Management

Maria DeArteaga headshot

ACADEMIC LEADERSHIP & AWARDS

2021

Workshop on Information Technologies and Systems Best Paper Award, Runner-Up  

2021-22

National Institutes of Health R01 Grant

Publications

Myra Cheng, Maria De-Arteaga, Lester Mackey, and Adam T. Kalai. Social Norm Bias: Residual Harms of Fairness-Aware Algorithms. Data Mining and Knowledge Discovery. Forthcoming.

Yunyi Li, Maria De-Arteaga, and Maytal Saar-Tsechansky. When More Data Lead Us Astray: Active Data Acquisition in the Presence of Label Bias. Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing 10(1):133-146.

Maria De-Arteaga and Jonathan Elmer. Self-fulfilling Prophecies and Machine Learning in Resuscitation Science. Resuscitation.  Forthcoming.

Maria De‐Arteaga, Stefan Feuerriegel, and Maytal Saar‐Tsechansky. Oct 2022. Algorithmic Fairness in Business Analytics: Directions for Research and Practice. Production & Operations Management 31(10): 3749-3770.

Maria De-Arteaga, Sina Fazelpour. Diversity in Sociotechnical Machine Learning Systems. Big Data & Society. Forthcoming.

Vincent Jeanselme, Maria De Arteaga Gonzalez, Jonathan Elmer, Sarah M. Perman, and Artur Dubrawski. Gender Differences in Post Cardiac Arrest Discharge Locations. Resuscitation Plus, forthcoming.