Aubrey Mpungose
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Aubrey Mpungose

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I am a social scientist and geographer based at the University of KwaZulu Natal, South Africa. I am interested in data science and computational social science. My research can be summarised in four words: political, social, space, data!. Specifically, I research on:

  • Political economy

  • Neighbourhood contexts (education outcomes, health, deprivation)

  • Political participation (protest, elections, behaviour)

  • Youth studies

  • Social theory (Foucault ❤️, Agamben, governance, markets)

  • Political geography

I use data science tools, computational methods and statistical methods in my research. I enjoy programming in R and Python. I have extensive research experience and been involved in various research projects focusing on Innovation for Development and Social and Economic Impact Assessment and Evaluation.

  • Experience
  • Education
  • Technical and Programming Skills

University of KwaZulu Natal, South Africa
Lecturer

June 2018 - Present

I teach in the School of Education, Education and Development discipline. My teaching focuses on development studies, the role of education in development and sustainability challenges.

Human Science Research Council, South Africa
Junior Researcher

2015 - 2017

  • I was involved in large research pojects, and my roles involved:

    • collecting survey data

    • Analysisng data

    • Writing reports

University of KwaZulu Natal, Durban, South Africa
PhD in Geography

Thesis title: The politics of disposable life: youth precarity, waithood and uncertainty

2019-Present

University of KwaZulu Natal, Durban, South Africa
MSc in Geography (First class)

Thesis title: The politics of megaprojects : assessing the socio-spatial and environmental impacts of the proposed dig-out port in south Durban

2017

University of KwaZulu Natal, Durban, South Africa
BSc Honours in Geography & Environmental Management

2014

  • Programming in R

  • Programming in Python

  • Git and GitHub

  • Statistical Modelling

  • Machine Learning

  • Natural Language Processing

  • Computational Text Analysis