Lecture Date: November 23, 2020
Lecturer: Dr. Hamdi Kavak
Computational models are commonly used in decision-making processes and affect people’s lives in different ways. Computational modelers must understand ethical principles and apply those in their work. This lecture will cover the ethics of model creation and use supported with real-world examples involving model reproducibility, data sharing practices, privacy, and code of ethics. By the end of this lecture, the goal is to understand code of ethics in different modeling specialties and learn about best practices to develop models ethically.
- Fleischmann, K. R., & Wallace, W. A. (2006). Ethical implications of values embedded in computational models: An exploratory study. Proceedings of the American Society for Information Science and Technology, 43(1), 1-16.
- Boden, L. A., & McKendrick, I. J. (2017). Model-Based Policymaking: A Framework to Promote Ethical “Good Practice” in Mathematical Modeling for Public Health Policymaking. Frontiers in public health, 5, 68.
- Bak, M. A. (2020). Computing Fairness: Ethics of Modeling and Simulation in Public Health. SIMULATION, 0037549720932656.
Code of ethic from organizations:
- SCS - Simulationist Code of Ethics
- ACM - Code of Ethics and Professional Conduct
- Data Science Association - Code of Conduct
- ASA - Ethical Guidelines for Statistical Practice
- ASME - Code of Ethics of Engineers