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02 June 2021 | Story Rulanzen Martin | Photo UFS Photo Archive
Prof Melanie Walker, an A1-rated researcher, is one of the foremost academics in human development and education studies.

Prof Melanie Walker, Distinguished Professor in the Centre for Development Support at the University of the Free State (UFS), has been elected as President of the Human Development and Capability Association (HDCA). This is the first time that the HDCA president is from the Global South. 

The HDCA is an international association for academics and practitioners who, according to Prof Walker, “seek to create an intellectual community around the ideas of human development and the capability approach and relate these ideas to development practices and the policy arena”. 

Prof Walker holds the SARChi Chair in Higher Education and Human Development, and is one of three A-rated National Research Foundation (NRF) researchers at the UFS. She follows in the illustrious footsteps of previous HDCA presidents, including esteemed academics such as Prof Martha Nussbaum, who received an honorary doctorate from the UFS in 2012, and Nobel prize winner, Amartya Sen

An established UFS presence 

Since its inception in 2004, Prof Walker has been involved with the HDCA through various positions and roles, thus establishing a strong UFS presence within the organisation. “We already have a strong research presence in the HDCA through the group I have established at the UFS, which is now well-known and highly respected,” Prof Walker says. She is also hopeful that more researchers from the UFS may consider joining the HDCA and developing human development-focused research partnerships with others in the HDCA.

Highlighting Global South issues 

Through her new position as president-elect of the HDCA from September 2021, she wants to expand the reach and responsiveness of the HDCA in Sub-Saharan Africa (SSA). “In Southern Africa we have a growing community, but we need to be stronger elsewhere.  This would provide the platform to take forward public debates about inequalities as obstacles to sustainable human development,” Prof Walker says.  However, these problems and challenges occur everywhere in a world of “growing inequalities and exclusions”. 

In these COVID-19 times, a focus on human development seems more needed than ever - Prof Melanie Walker 

Apart from expanding the presence of the HDCA in SSA together with its executive, Prof Walker hopes to “further strengthen the organisation and its research, practice and policy ‘voice’, and its capacity-building activities. I would also like to put ideas from decoloniality and the North-South knowledge inequalities on the table, as well as our knowledge-producing practices.” 


The global presence of the HDCA 

The international footprint of the HDCA is extensive, with members in more than 70 countries. The organisation hosts an annual international conference, bringing together various thematic groups, regional networks, and holds regular webinars and workshops. It also publishes the peer-reviewed Journal of Human Development and Capabilities.  The HDCA promotes research within a vast array of disciplines, ranging from economics to philosophy, development studies, health, education, law, government, and sociology.  “The HDCA takes forward significant capabilitarian scholarship with shared purposes to advance knowledge, development practices, and policy in and for human development,” Prof Walker says. 

The organisation aims to challenge the narrow understanding of economic growth as the end of development, and of human capital production as the prime purpose of education. “In these COVID-19 times, a focus on human development seems more needed than ever,” Prof Walker says. 

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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