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Inaugural ‘Sanlam and Santam Economist of the Year’ competition gala celebrates future economists

24 October 2024 | Story Anthony Mthembu | Photo Stephen Collett

The inaugural ‘Sanlam and Santam Economist of the Year’ competition gala, held on 18 October 2024 at the University of the Free State (UFS) Bloemfontein Campus, has been hailed as a significant opportunity for growth. Hosted by the Department of Economics and Finance in the Faculty of Economic and Management Sciences (EMS), in collaboration with Sanlam and Santam, the event celebrated the exceptional talents of young economists.

The gala brought together representatives from Sanlam and Santam, faculty members, the top 10 competition finalists, and the department’s leading academic performers from each year group. Jaco Geldenhuys, Senior Business Manager at Sanlam, commended the participants for their dedication, noting: ’Today, we not only recognise your academic excellence but also the potential, positive impact you will have in the world.’’

Prof Johan Coetzee, Chairperson of the Department of Economics and Finance, echoed this sentiment, emphasising that the competition aims to equip graduates to become global citizens who can solve problems, think critically, and communicate effectively in a constantly changing world.

What transpired during the event

The top 10 finalists presented their analysis in a 6-minute presentation before a panel of economists from the department, demonstrating their understanding of the macroeconomic environment, the methods they used to predict key macroeconomic indicators, and the lessons they gained from the process. After these presentations, the top three finalists were chosen and were required to respond to questions from the panel, determining the overall winner.

The top three included Tricia Khoza, who secured third place, Mokai Malope, who earned second place; and Reatile Seekoei, who was named the 2024 ‘Sanlam and Santam Economist of the Year’.

All three finalists expressed their gratitude for the opportunity. Seekoei shared: “Competitions like this are invaluable because they prepare us for the working world. We have gained several graduate attributes we were introduced to at the start of our academic journey.’’

In addition to recognising the top three finalists, the department also awarded certificates to its top academic achievers, ranging from first-year undergraduate students to master's candidates.

Paving the way for the future

For many of the participants, the competition provided an invaluable glimpse into the professional world, offering them a chance to apply their classroom learning to real-world economic challenges. Geldenhuys encouraged the young economists to use their knowledge to challenge inequality, promote fairness, and drive innovation and sustainable growth.

News Archive

Mathematical methods used to detect and classify breast cancer masses

2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers.

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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