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30 January 2025 | Story Martinette Brits | Photo Barend Nagel
MASSTER Project
The University of the Free State (UFS) recently welcomed distinguished international partners for the MASSTER project.

The University of the Free State (UFS) recently hosted a group of distinguished international partners as part of the MASSTER project (Managing (South) Africa and Senegal Sustainability Targets through Economic-diversification of Rural-areas). Funded by the European Union Erasmus programme (Project ID 101129023), the project aims to support the agricultural sector in Sub-Saharan Africa (SSA) and Senegal by addressing pressing issues such as rural migration, food security, and sustainable development. 

 

What is the MASSTER Project? 

Launched in early 2024, the MASSTER project is an ambitious initiative designed to enhance agricultural development and economic diversification in rural areas across SSA, with a particular focus on Senegal and South Africa. According to Prof Corli Witthuhn from the Department of Sustainable Food Systems and Development at UFS, who serves as the project’s coordinator, researcher and trainer, MASSTER  seeks to make a lasting impact on the sector. 

“Agriculture plays a vital role in these regions, contributing up to 40% of GDP and providing livelihoods for over 70% of the population. However, challenges such as rural-urban migration and underutilised agricultural potential hinder the growth of this crucial sector,” explains Prof Witthuhn. 

By offering innovative training and educational tools to farmers and agricultural students, the project aims to bridge these gaps.  It involves higher education institutions (HEIs) in community development and focuses on the intersection of agriculture and migration. In doing so, MASSTER contributes to key Sustainable Development Goals (SDGs), including zero hunger, quality education, decent work, and economic growth.


Key objectives of the MASSTER Project

MASSTER collaborates with six partner HEIs in Senegal and South Africa to tackle pressing agricultural and migration challenges. The project focuses on: 

  • Assisting local farmers in implementing income-generating activities.
  • Supporting extension services in delivering relevant training programmes that emphasise economic sustainability.
  • Helping municipalities manage economic migration, particularly from rural areas.

To achieve these objectives, MASSTER analyses the risk factors that drive migration and those that prevent it, designing training programmes that empower current and future farmers to generate income. It also provides Training of Trainers (TOT) to HEIs and extension services, equipping them with skills to deliver impactful training sessions. Additionally, the project helps HEIs develop comprehensive migration management strategies that foster a whole-of-society approach linking agriculture and migration policies. 


A global collaborative effort

The MASSTER project brings together a diverse consortium of partners from Senegal, South Africa and Europe, including: 

  • Senegal: Université Du Sine Saloum El-Hâdj Ibrahima Niass Kaolack (USSEIN), Université Gaston Berger Saint- Louis (UGB), Université Assane Seck de Ziguinchor (UASZ), Interprofessional Center for Training in Agriculture (CIFA)
  • South Africa: University of the Free State (UFS), Stellenbosch University (SU), Tshwane University of Technology (TUT), South African Society for Agricultural Extension (SASAE)
  • Germany: Hochschule Weihenstephan-Triesdorf (HSWT)
  • France: Universite D’Aix-Marseille (AMU)
  • Italy: University of Naples Federico II (UNINA)
  • Serbia: Academy of Professional Studies South Serbia and Western Balkans Institute

Benefits for the University of the Free State

The MASSTER project presents significant opportunities for the UFS. It enables researchers to collaborate with international partners on groundbreaking research that addresses urgent agricultural challenges. Prof Witthuhn highlights that the project also provides valuable third-stream funding for the UFS research initiatives, strengthening the university’s broader academic and community development efforts. 

Additionally, UFS researchers gain hands-on experience in European Union grant administration, potentially paving the way for future EU-funded projects. The project fosters direct engagement with local farming communities by offering training that empowers farmers and promotes rural development. Moreover, it enhances the university’s expertise in agricultural sustainability and migration management.


Partners’ visit to UFS

The recent visit by MASSTER project partners to the UFS marked a key milestone in this collaboration. During their stay, the group participated in various activities, including farm visits and discussions aimed at advancing the project’s objectives.

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.

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