UJ Institute for the Future of Knowledge

Institute for the Future of Knowledge

Seeking to understand the relationship between knowledge and the future, for the purpose of improving both.

OUR EVENTS

WHO WE ARE

Understanding the relationship between what we know and what will happen

The Institute for the Future of Knowledge is a cross-disciplinary ecosystem devoted to understanding the
relationship between what we know and what will happen, for the purposes of improving both. 

The future is an ancient concern. Recent advances in computational abilities promise improved predictive performance, yet global events have proven to be resiliently unpredictable. The University of Johannesburg established the IFK to further its championing of a future-oriented focus for South Africa and the wider region.

Research Groups

The IFK focuses on five themes, each championed by a Research Group, which drives topical research and organises relevant events.

Data Science Across Disciplines

An interdisciplinary approach to the application of data science and the sense-making theoretical frameworks that shape its development.

The Future of Health

An interdisciplinary approach to understanding humanity’s efforts to improve health and deal with sickness, in the conviction that gaining perspective will improve future medical and public health efforts.

Green Futures

Seeking to positively understand, appreciate and harness earth’s plant life and the socio-ecosystems they interact with for the betterment of humanity and nature.

The Future of Diplomacy

Promoting the understanding of diplomacy, negotiation and statecraft in contemporary international politics

Metaphysics and Machines

Artificial intelligence is altering how we understand the world. The Metaphysics and Machines Research Group explores the implications.

Upcoming Events

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.

Resources