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UFS lecturer, Dr Kamwendo, elevates gender mainstreaming in AFR100 Climate Project

04 April 2024 | Story Lunga Luthuli | Photo SUPPLIED

Dr Juliet Kamwendo, Lecturer and Programme Director for Gender Studies in the Centre for Gender and Africa Studies at the University of the Free State, is spearheading efforts to integrate gender considerations into Africa's climate restoration agenda. Reflecting on her involvement, Dr Kamwendo stated, "This is particularly crucial, as women make up almost 50% of the population in Africa, and the depletion and degradation of land affect them disproportionately."

She recently served as a gender expert at the AUDA-NEPAD AFR100 workshop in Ouagadougou, Burkina Faso, from 25 to 29 March 2024. This initiative aims to restore forests and degraded land across Africa by 2030, with a focus on gender equality.

The workshop emphasised the integration of gender perspectives into the AFR100 project, acknowledging the disproportionate impact of land degradation on women. Dr Kamwendo's expertise highlighted the need to empower women in climate change interventions, addressing existing gender inequalities exacerbated by environmental degradation.

“Women – who are primarily responsible for household food security and water provision – bear the brunt of environmental degradation, leading to increased workloads, reduced income opportunities, and heightened vulnerability to climate-related disasters. Furthermore, the loss of forest cover and biodiversity further exacerbates the challenges faced by women, particularly in rural areas where they depend heavily on natural resources for their livelihoods,” added Dr Kamwendo.

Her participation highlights academia's crucial role in fostering inclusive and sustainable development, emphasising interdisciplinary collaboration to tackle complex environmental challenges. Through initiatives such as AFR100, stakeholders are working towards a more resilient and gender-responsive future for Africa.

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Dr Abdon Atangana cements his research globally by solving fractional calculus problem

2014-12-03

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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