Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
23 August 2024 | Story André Damons | Photo Supplied
Thandokuhle Gama, Dr Glen Tylor and Anele Mthembu
Winners: Thandokuhle Gama (left) and Anele Mthembu (right), who were honoured with the DSI-Esther Mahlangu Master's Fellowship at the 2024 SAWiSA, with Dr Glen Taylor, Senior Director: Directorate Research Development (DRD), UFS.

Two postgraduate students from the University of the Free State (UFS) were honoured at this year’s Women in Science Awards (SAWiSA) hosted by the Department of Science and Innovation (DSI).

Thandokuhle Gama, a Master of Medical Science student with specialisation in Pharmacology, and Anele Mthembu, who is working on her master’s degree in Disaster Management in the Disaster Management Training and Education Centre for Africa (DIMTEC), are both recipients of the DSI-Esther Mahlangu Master's Fellowships.

This fellowship is awarded to women scientists and researchers who are pursuing their master’s or doctoral studies and already hold scholarships from the National Research Foundation or other DSI agencies. The fellowships for Gama and Mthembu are worth R75 000 each and can be used towards their tuition fees or to enhance academic programmes by covering the costs of attending conferences or specialised research materials and equipment required to complete their degrees.

Honouring Dr Esther Mahlangu

The prestigious 2024 SAWiSA, which honour the exceptional contributions of women to science, technology, engineering, mathematics and innovation (STEMI) in South Africa, took place on 15 August 2024 in Mbombela. The theme was “Transition towards an Innovation Economy: The Role of Women Leaders in STEM”.

This year, the awards honoured world-renowned artist, Dr Esther Mahlangu, by renaming this year's master's and doctoral fellowships the DSI-Esther Mahlangu Fellowships.

“I feel honoured and grateful for the recognition, although it's been difficult to process what it actually means. It has been an overwhelming experience. It came as a surprise, because when I applied, I was not sure what to expect because these are national awards with many other applicants,” says Gama.

She was nominated by Innocensia Mangoato, lecturer in the UFS Department of Pharmacology and a previous winner at the awards. Gama is doing research on medicinal plants that are used in traditional medicine to treat diabetes.

“Winning this award means that my work thus far is being recognised. It is all through God’s grace. I'm also grateful to everyone who has contributed towards my journey: my family, teachers, mentors and sponsors, and everyone else. It will allow me to continue to advance research in the field of diabetes treatment using traditional medicines or medicinal plants.”

Bettering lives

Mthembu, who was nominated by her mentor, Dr Tlou Daisy Raphela-Masuku, a lecturer at DIMTEC, says it is a fantastic feeling winning this award. “Before the awards, Dr Raphela-Masuku and I dreamt I could win the SAWiSA. But before then, I was surprised and grateful for being acknowledged by DSI as a finalist; I focused on being a DSI finalist, and that winning would be a bonus,” she says.

She continues: “It means a lot to me to win the DSI Master’s Fellowship, as it is a testimony of God’s grace in my life. It is the destiny for helpers God has placed in my life, including my mentor, supervisor, and the DIMTEC postgraduate school. We all won!”

Mthembu is working her master’s thesis on the integration of risk-informed development (RID) and nature-based solutions (NbS) into sustainable human settlements in eThekwini Municipality, KwaZulu-Natal.

“The overarching aim is to evaluate the integration of both these concepts into human settlements’ strategic planning to offer eThekwini Municipality innovative and ecosystem-based approaches to achieving sustainable and resilient human settlements and achieving Sustainable Development Goal (SDG) 11 on building resilient cities.

“I hope to publish my findings and contextualise the enabling environments for RID (EE4RID) Framework in eThekwini Municipality so they can make risk-informed decisions on development and human settlements to achieve SDG 11,” explains Mthembu.

Gama says the aim with her research is to determine if these medicinal plants can treat diabetes by stimulating stem cells to differentiate and become insulin-producing cells. She hopes that through this research diabetes treatment can advance from a level where it is being continuously managed, to a level where we can cure the disease.

News Archive

Harvard couple to present lectures on Biostatistics and Mathematics at the UFS
2015-12-07


Professor Donald Rubin

Prof Donald Rubin (John L. Loeb Professor of Statistics at Harvard University) and Elizabeth Zell (MStat - mathematical statistician in the Division of Bacterial Diseases) will visit the University of the Free State (UFS) where they will present lectures on their respective work.

Over his prestigious academic career, Prof Don Rubin’s 400 publications and 13 books have earned him around 180 000 citations at an h-index of 113. He is one of the most cited statisticians/mathematicians/economists/psychologists in the world over the last 10 -15 years. He has supervised 35 PhD candidates as sole-supervisor, 17 more as co-supervisor, with a further eight in the pipeline.

Prof Rubin who will meet with UFS academics in the Department of Mathematics and Actuarial Sciences will also deliver a lecture: Rerandomisation to improve covariate balance in experiments.

Randomised experiments are the “gold standard” for estimating causal effects, yet in practice, chance imbalances often exist in covariate distributions between treatment groups. If covariate data are available before units are exposed to treatments, these chance imbalances can be mitigated by first checking covariate balance before the physical experiment takes place. Provided a precise definition of imbalance has been specified in advance, unbalanced randomisations can be discarded, followed by a rerandomisation. This process can continue until a randomisation yielding balance according to the definition is achieved. By improving covariate balance, rerandomisation provides more precise and trustworthy estimates of treatment effects.

Prof Rubin received an honorary professorship from the Faculty of Natural and Agricultural Sciences at the UFS.


Elizabeth Zell

The lecture will take place on:
Date: Tuesday 8 December 2015
Time: 16:00
Venue: Albert Wessels Auditorium, Bloemfontein Campus

Zell earned her Master’s degree in Statistics at North Carolina State University, and for more than two decades, was an active bio-statistical researcher in various offices of the Centers for Disease Control (CDC). Since 2013, she has been the Principal Statistician and President of Stat-Epi Associates, Inc. Her 150+ publications have earned her 14 500 citations at an h-index of over 50. She is a Fellow of the American Statistical Association, and, in 2010, she received the Statistics Section Government Award for outstanding contributions to statistics and public health by the American Public Health Association. During her career at the CDC, she earned more than 20 CDC research awards and honours.

She will deliver two lectures at the UFS. The first is entitled A Potential Outcomes Approach to Documenting the Public Health Impact of the Introduction of PCV13 for the Prevention of Invasive Pneumococcal Disease. The topic of her second lecture is: Assessing the Effectiveness of Intrapartum Antibiotic Prophylaxis for Prevention of Early-Onset Group B Streptococcus Disease through Propensity Score Design

Elizabeth’s lectures will take place on:
Date: Wednesday 9 December 2015
Time: 10:45 and 13:00
Venue: West Block 111, Bloemfontein Campus

For more information, please contact Dr Michael von Maltitz at VMaltitzMJ@ufs.ac.za.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept