Data Science Across Disciplines
Ethics and Explainability for Responsible Data Science (EE-RDS) (2022)
Data Science Across Disciplines (DSAD), a research group within the University of Johannesburg’s Institute for the Future of Knowledge (IFK), and the Perception Robotics and Intelligent Machines Research Group (PRIME) at the University of Moncton (Canada) invite you to participate in the Ethics and Explainability for Responsible Data Science (EE-RDS) Conference which will be held from 2–3 November, 2022. This event brings together reflections on both the actual and potential impact of Data Science across disciplines and sectors. Submissions are welcome from any disciplinary background, with a focus on scientific contributions, conceptual themes, and reflections within the areas of: 1. Responsible Data Science: Reliable and Trustworthy approaches for data engineering, data science and modern machine learning; 2. Algorithmic Fairness, Transparency, and Explainability; 3. Social and Ethical aspects of Responsible Data Science; and 4. Use cases illustrating the cross-disciplinary nature of the field of Data Science. This conference provides presenters with an opportunity to submit a final article for publication in IEEE Xplore.