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

PG Workshop: Remaking the World through Machine Learning (2022)

The PG Workshop: Remaking the World through Machine Learning (RWML) 2022 is funded by the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS) under the focus area Machine Intelligence and Learning from Experience (MILE).

This event is hosted by the Data Science Across Disciplines (DSAD) Research Group based at the University of Johannesburg’s Institute for the Future of Knowledge, the Faculty of Engineering and the Built Environment and the Faculty of Science at the University of Johannesburg. This is the 3rd workshop of an annual Postgraduate Workshop Series brought to you by academics and industry professionals from across multiple research fields, institutions, and sectors.

The theme of the workshop is the impact that Machine Learning tools, technologies, and algorithms, can have on the various social, economic, and technical hurdles we face daily. The fields of Data Science and Machine Learning allow us to apply a cross-disciplinary and complex lens to the multi-layered challenges of the 21st century. This event aims to educate postgraduate students with this in mind, so that they may not only envision, but also create, a more remarkable world.

The event will be both physical and virtual, with all talks presented in the morning streamed live for a larger audience, and afternoon practical sessions for postgraduate students hosted in the venue. Please Note: There is a limit on the number of persons that may attend the physical event, and preference will be given to PG students and speakers.

Dates: 21 – 25 November 2022 Venue: Online: Zoom Session (link to be provided upon registration); Physical: Open Space B 5 Building, Auckland Park Campus, University of Johannesburg Registration: Please register for the workshop. Should you be a postgraduate student who wants to take part in the afternoon practical sessions, then be sure to indicate that you are a postgraduate student on the registration page and you will be contacted closer to the time.

Organising Committee:

Prof Charis Harley, Faculty of Engineering and the Built Environment, University of Johannesburg

Prof Alan Cornell, Department of Physics, Faculty of Science, University of Johannesburg

Data Science Across Disciplines

PG Workshop: Remaking the World through Machine Learning (2022)

The PG Workshop: Remaking the World through Machine Learning (RWML) 2022 is funded by the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences (CoE-MaSS) under the focus area Machine Intelligence and Learning from Experience (MILE).

This event is hosted by the Data Science Across Disciplines (DSAD) Research Group based at the University of Johannesburg’s Institute for the Future of Knowledge, the Faculty of Engineering and the Built Environment and the Faculty of Science at the University of Johannesburg. This is the 3rd workshop of an annual Postgraduate Workshop Series brought to you by academics and industry professionals from across multiple research fields, institutions, and sectors.

The theme of the workshop is the impact that Machine Learning tools, technologies, and algorithms, can have on the various social, economic, and technical hurdles we face daily. The fields of Data Science and Machine Learning allow us to apply a cross-disciplinary and complex lens to the multi-layered challenges of the 21st century. This event aims to educate postgraduate students with this in mind, so that they may not only envision, but also create, a more remarkable world.

The event will be both physical and virtual, with all talks presented in the morning streamed live for a larger audience, and afternoon practical sessions for postgraduate students hosted in the venue. Please Note: There is a limit on the number of persons that may attend the physical event, and preference will be given to PG students and speakers.

Dates: 21 – 25 November 2022 Venue: Online: Zoom Session (link to be provided upon registration); Physical: Open Space B 5 Building, Auckland Park Campus, University of Johannesburg Registration: Please register for the workshop. Should you be a postgraduate student who wants to take part in the afternoon practical sessions, then be sure to indicate that you are a postgraduate student on the registration page and you will be contacted closer to the time.

Organising Committee:

Prof Charis Harley, Faculty of Engineering and the Built Environment, University of Johannesburg

Prof Alan Cornell, Department of Physics, Faculty of Science, University of Johannesburg

Resources