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Biography

Christian Haas is an Associate Professor in the Department of Information Systems and Quantitative Analysis at UNO.Prior to joining the College of IS&T, Christian was an Assistant Professor of Business Analytics at the Vienna University of Economics and Business (WU) in Austria and worked for IBM as a Senior Data Scientist. He has a Master's in Computer Science from the Georgia Institute of Technology as well as a Master's and a PhD in Computational Economics from the Karlsruhe Institute of Technology in Germany.

Teaching Interests

My teaching assignments include introductory and advanced Data Science courses. I particularly like to teach about (applied) Data Science and Machine Learning, Big Data Analytics, and Simulation.

Research Interests

My research interests include novel challenges in data-driven decision making, with an emphasis on fairness and explainability in machine learning, evolutionary and heuristic optimization and learning, and computational economics.

Selected Publications

Caton, Simon, Haas, Christian. 2024. Fairness in Machine Learning: A Survey, ACM Computing Surveys (CSUR), 56, 7.

Haas, Christian. 2019. The Price of Fairness - A Framework to Explore Trade-offs in Algorithmic Fairness, International Conference on Information Systems (ICIS) 2019.

Ashokan, Ashwathy, Haas, Christian. 2021. Fairness metrics and bias mitigation strategies for rating predictions, Information Processing & Management 58.5 (2021): 102646, 58, 5.

Haas, Christian, Budin, Constantin, d'Arcy, Anne. 2024. How to Select Oil Price Prediction Models - The Effect of Statistical and Financial Performance Metrics and Sentiment Scores, Energy Economics, 133.