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29 August 2024
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Story Anthony Mthembu
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Photo Harmse Photography
Ross van Reenen, CEO of the Toyota Free State Cheetahs.
The Business School at the University of the Free State (UFS) recently hosted the CEO of the Toyota Free State Cheetahs, Ross van Reenen, for a guest lecture. Van Reenen presented the guest lecture in the Business School Auditorium on the UFS Bloemfontein Campus on 21 August 2024.
Reflecting on Van Reenen’s address
In a lecture addressed to an auditorium filled with UFS staff and students, Van Reenen’s talk was divided into several sections. Firstly, he spoke about the concept of the ‘black swan’ in reference to the book written by Nassim Nicholas Taleb, titled The Black Swan: The Impact of the Highly Improbable. Referring to Taleb’s book, Van Reenen defined a ‘black swan’ as a rare event that has a severe impact, and the occurrence of which people try to explain. He used some examples to explore this concept as well as its implications, including COVID-19 and its impact on the world, and the tragic death of the people in the Titanic disaster. However, he delved deeper into 9/11 and the extent of its impact, saying that “9/11 was a major wake-up call in the world economy”. Van Reenen highlighted how some companies such as Barclays, for which he previously consulted, had to work to be up and running after the collapse of the Twin Towers in 9/11.
In addition, Van Reenen’s lecture also touched on the importance of the first ninety days of a job after an individual has been employed. “Those first ninety days are crucial, as you have to establish yourself in a company where you are paid less than you are worth,” Van Reenen said. As such, he gave the audience insight into what they could focus on in that time frame. This includes focusing on the small wins, as well as ensuring that you are working at keeping the team together, as the team is an integral part of an organisation.
Van Reenen concluded his address by speaking about his time as the CEO of the Toyota Free State Cheetahs, including some of the decisions he took to ensure the success of the organisation.
Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03
Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied
Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem.
Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease.
Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process.
She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.
Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology.
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.”