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UFS sets new benchmark with successful 2024/2025 CSRC elections

09 September 2024 | Story Lunga Luthuli | Photo Supplied

The University of the Free State (UFS) has proven its commitment to innovation and student engagement with the recent 2024/2025 Campus Student Representative Council (CSRC) elections, which were held online and featured real-time results projection across all three campuses. The elections, held from 20 to 22 August 2024, marked a significant milestone for the institution, setting a precedent in the national higher education landscape.

Dr Grey Magaiza, Chairperson of the UFS Elections Logistics Committee (ELC), provided insight into the planning process that went into making the elections a success: “Planning for an institutional CSRC election is a very demanding process,” he explained. “Multiple stakeholders have to be appraised of the project, as it has multiple implications for the institution. The voting is the last phase in a long list of actions that a capable team must support.”

One of the most notable aspects of this year’s elections was the introduction of real-time results, a first for any institution in South Africa. Despite the challenges that came with being pioneers in this area, the ELC managed to overcome them through rigorous scenario planning and extensive negotiations. “This is a huge milestone, but it did not come without its own challenges,” Dr Magaiza said. “We had to engage in multiple negotiations with numerous process owners. The debates that ensued only sharpened our ability to observe potential blind spots.”

Students embrace live voting

The transition from traditional online voting to a system with live results was met with enthusiasm by the student body. “Students have always been for online elections. The majority of students we talked to loved the live results format,” Dr Magaiza said. The decision to share the live results link with the entire student body, despite initial requests for it to be limited to party agents, was particularly well-received, further enhancing transparency and engagement.

Security and accuracy were also top priorities for the ELC, with advanced IT processes in place to ensure a seamless voting experience. Each student was provided with a unique one-time PIN (OTP) sent to both their UFS email and cellphone, and the system was designed to cater to the specific needs of each campus.

The live results projection, which updated every five minutes, not only drove massive voter turnout across all campuses but also fostered a more dynamic and engaging election atmosphere. “The turnout was massive across all three campuses, surpassing the previous year’s figures,” Dr Magaiza said.

Reflecting on the success of the elections, Dr Magaiza emphasised the importance of collaboration and preparation. He also expressed confidence that the UFS model could serve as an example for other institutions in South Africa. “Live results enhance transparency and acceptance of the election results. As UFS, we have not had a single objection with regards to the first-past-the-post election results,” he concluded.

The 2024/2025 CSRC Elections at the UFS have not only set a new standard within the university, but have also highlighted the potential for innovation in student governance across the country.

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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