Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40044
Title: Sustainable Statistical Capacity-Building for Africa: The Biostatistics Case
Authors: REDDY, Tarylee 
NSUBUGA, Rebecca 
Chirwa, Tobias
SHKEDY, Ziv 
Mwangi, Ann
AWOKE AYELE, Tadesse 
DUCHATEAU, Luc 
JANSSEN, Paul 
Issue Date: 2023
Publisher: ANNUAL REVIEWS
Source: Annual Review of Statistics and Its Application, 10 (1) , p. 97 -117
Abstract: Several major global challenges, including climate change and water scarcity, warrant a scientific approach to generating solutions. Developing high quality and robust capacity in (bio)statistics is key to ensuring sound scientific solutions to these challenges, so collaboration between academic and research institutes should be high on university agendas.To strengthen capacity in the developing world, South-North partnerships should be a priority. The ideas and examples of statistical capacity-building presented in this article are the result of several monthly online discussions between a mixed group of authors having international experience and formal links with Hasselt University in Belgium. The discussion focuses on statistical capacity-building through education (teaching), research, and societal impact. We have adopted an example-based approach, and in view of the background of the authors, the examples refer mainly to biostatistical capacity-building. Although many universities worldwide have already initiated university collaborations for development, we hope and believe that our ideas and concrete examples can serve as inspiration to further strengthen South-North partnerships on statistical capacity-building.
Notes: Janssen, P (corresponding author), Hasselt Univ, Ctr Stat, Data Sci Inst, Diepenbeek, Belgium.; Janssen, P (corresponding author), North West Univ, Sch Stat & Math Sci, Potchefstroom Campus, Potchefstroom, South Africa.
paul.janssen@uhasselt.be
Keywords: consulting;education;human capital;research;South-North collaboration;statistical capacity
Document URI: http://hdl.handle.net/1942/40044
ISSN: 2326-8298
e-ISSN: 2326-831X
DOI: 10.1146/annurev-statistics-033021-015609
ISI #: 000945740600005
Rights: 2023 by the author(s). Open access This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See credit lines of images or other third-party material in this article for license information.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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