UJ Institute for the Future of Knowledge

Data Science Across Disciplines

08:00 - 18:00
Monday - Friday
21 - 25 November 2022

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

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Upcoming events:


Director, Data Science Across Disciplines


GaBatho-B5 Building, Auckland Park Campus, University of Johannesburg

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