UJ Institute for the Future of Knowledge

Data Science Across Disciplines

Data Science Across Disciplines

Wednesday 2 November 2022

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.

Data Science Across Disciplines
Wednesday 2 November 2022

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.
The Future of Health
Wednesday 13 May 2020

Webinar: Reimagining the world after COVID-19

Historians distinguish two ends to a pandemic: the biological end, consisting in the eradication or control of the disease, and the social end, when people stop fearing the disease and society resumes its normal shape. The “Post-COVID World” may never come from a biological perspective, and some are also saying that it may never come from a social perspective either – that the world will never be the same again. Whatever the case, it is clear that the pandemic that took us by surprise was in fact highly predictable, and indeed predicted by the World Health Organisation, the former President of the United States, and many others. It is, moreover, anything but unprecedented. Sometimes, we cannot predict; but other times, we can, but don’t. Whatever the Post-COVID World is like, our first lesson must be to think more carefully and openly about the future – starting with the Post-COVID World itself. The event was chaired by Professor Alexander Broadbent. The speakers at this event were: Dr. Joyce Banda, Former President of Malawi; Professor Johan Giesecke, an infectious disease epidemiologist, and the scientist masterminding the Swedish response; and Professor Sehaam Khan, a microbiologist and Dean of Health Sciences at the University of Johannesburg.