General Information
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.
Scholarship/Research/Creative Activity
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.