Winner of the Kambule Dissertation Award
The Kambule Dissertation Award recognises and encourages excellence in research and writing by doctoral candidates at African universities, in any area of computational and statistical sciences, and whose work demonstrates excellence through technical rigour, significance of contribution, and a strong role in strengthening African machine learning.
The Kambule Award celebrates African research excellence: its recipients are those that uphold Thamsanqa Kambule’s legacy as a defender of learning, a seeker of knowledge, and activist for equality.
Nasejje, J. (2018). Random Survival Forests: An Alternative Method in Analysing Time-to-event Data. PhD thesis, University of KwaZulu-Natal, South Africa.
Justine will be hosted at the University of Oxford, through the generous sponsorship of the Africa Oxford Initiative, to present her work.
Winner of the Maathai Impact Award
The Maathai Impact Award encourages and recognises work by African innovators that shows impactful application of machine learning and artificial intelligence to positively impact Africa and her communities.
The Maathai award reinforces the legacy of Wangari Maathai in acknowledging the capacity of individuals to be a positive force for change: by recognising ideas and initiatives that demonstrate that each of us, no matter how small, can make a difference.
Awards Programme Outcomes Report
The awards programme will become an annual activity and today we release a report that summarises the thinking behind the awards programme, details of the winners, and our key recommendations to improve the awards programme going forward. This year’s award winners have energised us in ways we could not have imagined, and their excellence deserves to be celebrated; this report is dedicated to them.