Early Bird (Extended) 15 May 2026 (excluding Gala Dinner)
- Early Bird Standard: R5,500
- Early Bird Student: R4,500
Regular Registration deadline: 5 June 2026 (excluding Gala Dinner)
- Regular Standard: R6,000
- Regular Student: R5,000
Industry / Corporate Delegate
- R7,900 (includes Gala Dinner, priority seating, networking access, and related benefits)
Optional Add-Ons
- Gala Dinner: R1,200
- Workshops: R1,500 each
To register for ADSC 2026, delegates should visit the Wits Enterprise conference registration page at: https://adsconference.witsevents.co.za/register
Once on the page, delegates should select the appropriate registration category from the available options, including Student Early Bird, Standard Early Bird, Corporate / Industry Delegate, Student Registration, or Standard Registration.
Delegates may also select any optional extras where applicable, including additional paper submission, the Gala Dinner, and/or workshop attendance.
The available workshops will take place on 23 June 2026 and include sessions on healthcare AI, quantum machine learning and data science, trustworthy data science with LLM agents, spatial data science, publishing in top-tier journals, and data science in industry.
After selecting the relevant registration option and any optional extras, delegates should complete the required details and follow the payment instructions provided through the Wits Enterprise registration system to finalise their registration.
N.B. Student delegates may be required to provide proof of student status where applicable.
Conference Proceedings Editors
- Dr Farai Mlambo (Wits University)
- Professor Inger Fabris-Rotelli (University of Pretoria)
- Professor David Mhlanga (North-West University)
- Dr Nomalanga Mashinini (Wits University)
- Dr Peter Olukanmi (University of Johannesburg)
- Professor Inger Fabris-Rotelli (University of Pretoria);
- Dr Farai Mlambo (Wits);
- Dr Taariq Surtee (Wits);
- Professor Innocent Maposa (Stellenbosch University);
- Dr Isaac Nyambiya (Great Zimbabwe University);
- Dr Sunday Oladejo (Stellenbosch University);
- Dr Humphery Brydon (University of the Western Cape);
- Dr Peter Olukanmi (University of Johannesburg);
- Dr Nomalanga Mashinini (Wits);
- Dr Louise De Koker (Nelson Mandela University);
- Professor James Cochran (The University of Alabama);
- Dr Moses Phiri (NIQ Company);
- Dr Ndivhuwo Makondo (IBM Research, Africa)
- Prof. David Mhlanga (North-West University)
Publication Opportunity
In addition to the conference proceedings outlet, ADSC 2026 is supporting the following publication pathway. Selected high-quality full papers presented at the conference will be invited for consideration for publication in an edited volume titled “Statistics/ML/AI in Action for Sustainable Development.”
The book is expected to be published by Springer in mid-2027 as part of the ICSA Book Series in Statistics.
About the Book:
Statistical modelling, machine learning (ML), and artificial intelligence (AI) are increasingly essential for generating actionable evidence to advance the Sustainable Development Goals (SDGs). To promote research and real-world innovation at the intersection of Statistics, ML, AI, and sustainable development, this interdisciplinary volume welcomes contributions from research and applications across fields including statistics, epidemiology, engineering, health and medicine, economics, the natural and social sciences, agriculture, and environmental sciences. Contributions should be grounded in statistical, ML, or AI methodologies and clearly demonstrate an application to one or more SDGs.
Book Editors:
- Prof. Najmeh Nakhaeirad, University of Pretoria, South Africa
- Prof. Ding-Geng Chen, University of Pretoria, South Africa & Arizona State University, Phoenix, USA
