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21 July 2020 | Story Nitha Ramnath | Photo UFS photo archive
The Department of Business Management within the Faculty of Economic and Management Sciences is one of four successful recipients of the Nurturing Emerging Scholars Programme (NESP), which aims to recruit honours graduates who demonstrate academic ability and express an early interest in the possibility of an academic career. 

 “The NESP is a mechanism that addresses a potential shortcoming in the department in the medium to long term. Most of the academics in the department specialise either in entrepreneurship or marketing. As such, the availability of academics with interdisciplinary business knowledge who can teach and do research across the different sub-fields of business management is limited,” says Prof Brownhilder Neneh, Associate Professor in the Department of Business Management.

Once graduates enter the programme – as NESP master’s graduates they form part of a resource pool from which new academics can be recruited. 

Prof Neneh continues: “Considering the imminent retirement of academics in the department, the NESP provides an opportunity to recruit an academic who is able to work with experienced academics, gain experience, and ‘prepare’ the person to become an expert across the different fields in the department.”

“This programme would assist in succession planning within the department as well as training individuals within academia,” she says. 

According to Prof Neneh, access to this funding opportunity will further strengthen and expand the path that the department has embarked upon as far as striving for excellence in teaching, research, and community engagement is concerned, thereby contributing to address key societal challenges. “Appointing an NESP candidate would be an ideal opportunity to recruit an academic who will be able to work with the senior staff and gain experience and teaching/research competencies relevant to the 4IR, and ‘prepare’ the person to become the business management expert in the department,” she says.

News Archive

Latest information technology employed to make learning in Disaster Management easy
2014-10-20



Prof Dusan Sakulski
Photo: Leonie Bolleurs
Live, colourful, interactive, real-time-calculated. This is how Prof Dusan Sakulski, researcher and lecturer from the UFS’s Disaster Management Training and Education Centre for Africa (DiMTEC), describes his e-learning platform implemented in this department.

Rather than producing research that gathers dust somewhere in a cabinet, Prof Sakulski believes that research should be used to make life easier, not only for society, but also for his students.
 
This educational civil engineer, who is responsible for information technology implementation in disaster risk management, developed through his research several programs to optimise the three contact sessions DiMTEC students have to attend each year.
 
One of the initiatives implemented by Prof Sakulski and his daughter Teodora, was the recording, editing and compiling of theoretical lessons and making it available to students online. “Students then don’t have the excuse of missing a class. Furthermore, it allows them to rather focus on group work during contact sessions and to discuss problems they encountered with the work,” he says.
 
Students also have access to an early-warning system portal for the prediction of hazards, including droughts, floods, rain and temperature. In the disaster-risk environment, this program is very useful, not only for students, but also for practitioners working with this kind of data on a daily basis. The operational and educational application works in real time – with the click of a mouse students and practitioners have access to information on current weather conditions. Indicators for possible natural disasters are also built into this program. Truly a useful application when you are working in the field of disaster risk management.

Difficult and technical data are presented live, with information that is colourful, interactive, real-time-calculated and audible, thanks to embedded mathematical language. In this way, students can learn, memorise and understand their work better.


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