For better or worse, all of our careers are shifted, shaped and sometimes shortened by influential figures in our lives. When it comes to women in Science, Technology, Engineering and Mathematics (STEM) fields, access to support structures are even more important for growth and development. Unfortunately, many females still have to overcome barriers of prejudice and inequality.
With the announced hard-lockdown in March 2020, and as with most other non-essential activities, all fieldwork at Statistics South Africa (StatsSA) was shutdown. However, researchers at RESEP were quick to realise that rapidly updated, accurate information on key outcomes such as unemployment, household income, child hunger and access to government grants would be of vital importance for sound decision making during a global pandemic.
Quantitative analysis of education in South Africa and southern Africa. Analysis of education data sets, particularly international educational evaluations (SACMEQ, TIMSS, PIRLS, PISA-D). The focus will be on social gradients and resilience, closely linked to current research undertaken by Resep.
In an effort to provide expert opinions, as well as assist in guiding public discussions around socio-economic policy, such as education, and issues related to the COVID-19 pandemic, the press contributions of RESEP researchers have increased markedly over the past several months.
In April this year, 24-year-old Lunga Swelindawo received his Master’s degree in Economics. This Swartlander knew from a young age that he was different: He wanted to build bridges, lift other people and change people’s lives. Leo Cordom talked to Lunga Swelindawo about big dreams, to feel like a token black and his next big hurdle.
I use the latest (16 May) version of the OxCGRT dataset to answer three fairly common questions about COVID-19 in the South African context. The three questions are: (1) Is South Africa’s curve a relatively flat one? (2.) Does South Africa have ‘one of the toughest lockdowns on earth’? (3.) How do restrictions and ‘flattening the curve’ relate to each other, and where does South Africa fit in?
Good policymaking requires reliable, comparable statistics over time. Despite there being an annual survey of agricultural firms in South Africa, confusion exists about the number of commercial farms in South Africa and the structure of the agricultural sector. According to the agricultural census in 2007, there were 39 966 commercial farms, while the agricultural survey mentions a figure of 64 192 and 57 126 in 2008 and 2017, respectively. With such diverging numbers across time, which figures should we trust and how does one analyse trends in the sector and make evidence-based decisions?
It is critical that the debates leading up to the re-opening of South Africa’s schools, and the actual process of re-opening, which will almost certainly occur in stages, be informed by the emerging medical evidence and reports on best school practices. Re-opening the pre-school sector, covering around 2.4 million children, and the earliest school grades, seems least risky in terms of infections. Moreover, there are strong educational and nutritional arguments which favour prioritising these levels.
President Ramaphosa announced on 15 March that schools would close within days for just over three weeks, as opposed to the originally planned one week of school holidays. This is in line with steps taken across the world to reduce the spread of the new coronavirus. This is a sudden change of plan, and closures may be extended. What should South Africans look out for? What can they do to limit the adverse effects of this disruption on education?
On the 20th and 21st of February 2020, RESEP convened a workshop on education research with participation from academics from the University of Bristol (UK), the University of Bath (UK), the Tata Institute of Social Sciences (India), and Tribhuvan University (Nepal), as well as key policymakers and researchers from the DBE.
Competing against some 738 data scientists from around the globe, RESEP’s Cobus Burger recently won the Uber Movement SANRAL Cape Town Challenge. Burger’s model was most accurately able to predict when and where road accidents were going to happen on Cape Town’s busy roads.
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