Over the last 20 years, Kirstin Krauss has worked at five different South African universities. Kirstin holds a PhD in Informatics from the University Pretoria. He has over 40 scholarly publications and has done editorial work for a number of journals and conferences, including Information Technology for Development, the Electronic Journal of Information Systems in Developing Countries, the South African Computer Journal, the European Conference on Information Systems, and the International Development Informatics Association Conference (IDIA2018). He has managed grants and projects for Deloitte Consulting Pty Ltd – Africa Unit (2011), UNESCO (2009/10), KwaZulu-Natal Department of Health (2007/8), and the Andrew W. Mellon Foundation (2014 – 2016). In his most recent roles as Associate Professor at Rhodes University (2012 – 2016) and Professor and Chair of the Higher Degrees Committee in the School of Computing at the University of South Africa (UNISA) (2017+) he focused predominantly on postgraduate student development and supervision capacity building. Kirstin has been invited by a number of associations and universities to do guest lectures on a variety of Information Systems trends, teaching, and methodology related matters, including University of Cape Town, Ghana Technology University College, Uganda Martyrs University in Kampala, and the Southern African Chapter of the Association for Information Systems (AISSAC). Recently, one of his Doctoral Graduates, Dr Nompilo Tshuma, was selected as a Highly Commended winner of the 2020 Emerald/HETL Outstanding Doctoral Research Award. Kirstin is a member of the Association of Information Systems (AIS), he is a member of Society for Intercultural Education, Training and Research (SIETAR) Europa – Special Interest Group on Africa, and he served as Education Chair for the AIS Special Interest Group on Global Development (2015-17).
As a Research Advisor for Fidelior™, Kirstin also acts as co-promoter for a Doctoral Research Group at KU Leuven (Belgium), with Prof Joseph de Brabanter as project leader. The research group focuses on Scholarly Communications Big Data, Machine Learning Techniques, and Fraud Detection.