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19 October 2023 | Story Samkelo Fetile | Photo Stephen Collett
Public Management Memorial Lecture
From left; Prof Philippe Burger, Prof Francis Petersen, Premier Mxolisi Dukwana, and Dr Mareve Biljohn.

The University of the Free State (UFS), Department of Public Administration and Management recently hosted its Public Management Memorial Lecture, which was delivered by the Honourable Mxolisi Dukwana, the Premier of the Free State. This year's Public Management Memorial Lecture, titled 'Public Administration and Management as a Method and Tool of Delivering an Ethical, Capable, and Developmental State,' delved into crucial aspects of governance.

In his welcoming address, Prof Francis Petersen, Vice-Chancellor and Principal of the UFS, provided insight into the university's Vision 130 and the university’s strategy, emphasising values such as accountability, social justice, and care. The university’s commitment to engaging on matters of public significance was also highlighted.

Fostering collaboration

Prof Petersen emphasised the importance of collaboration and co-creation – particularly in the post-COVID-19 era – to achieve optimal outputs and outcomes. “The Public Management Memorial Lecture aims to foster collaboration between academia, students, and practitioners in the field of public administration and management.”

In his introduction of Premier Dukwana, Prof Philippe Burger, Dean of the Faculty of Economic and Management Sciences, highlighted Dukwana's role in various government positions, including as the ANC provincial treasurer and, more recently, as the Premier of the Free State.

Addressing challenges and opportunities

In his address, Premier Dukwana acknowledged the need for a collective effort to ensure an ethical, capable, and developmental state, emphasising the challenges faced in the current socio-political landscape. Premier Dukwana acknowledged the need for introspection regarding the state's foundations, values, and mechanisms of service delivery. “Understandably, this is quite an involved and extensive subject that interrogates not only the ethical and capable attributes of the democratic state, but also whether the democratic state is itself developing and evolving towards a horizon that is developmental in outlook.” He stressed the importance of upholding constitutional values and principles, accentuating the need for accountability, transparency, and adherence to the Batho Pele principles.

Premier Dukwana outlined key interventions in the Medium-Term Strategic Framework (MTSF), emphasising the need for a capable and honest government, improved leadership, good governance, and accountability. He called for modernised business processes, improved financial management capability, and participatory local governance mechanisms.

The importance of a social compact was also highlighted, as well as the need to set aside narrow interests for the common goal of long-term growth and development. He stressed the need for a vibrant civil society and underscored the role of public servants in effecting positive change in service delivery.

Reducing bureaucratic red tape

The Premier concluded his address by emphasising the importance of reducing bureaucratic red tape and initiating programmes to streamline service delivery. He expressed optimism for further collaboration with the UFS in strengthening governance and public administration practices. “I am looking forward to having further discussions with the UFS as it relates to the MOU between the UFS and the Free State Provincial Government. The UFS can play a crucial role in helping us to strengthen governance, and specifically improve on public administration and management approaches and practices with the aim of accelerated and improved service delivery.”

The Public Management Memorial Lecture served as a platform for robust discussions on the challenges and opportunities in public administration and management. Premier Dukwana's insights underscored the imperative for ethical, capable, and developmental governance, setting the stage for continued collaboration and engagement on these critical issues.

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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