Invited talk (Raesetje Sefala) - "Constructing visual datasets to answer research questions"

Raesetje is an AI Research Fellow who uses Computer Vision, Data Science and general Machine Learning techniques to mainly explore research questions with a societal impact. Her research focuses on creating ground truth datasets and using machine learning and other computational social science techniques to study spatial segregation in South Africa, post-Apartheid. Raesetje is a qualified Data Scientist and holds a Computer Science Masters degree from the University of the Witwatersrand with a special focus on Machine learning. She has been technically involved in different complex Data Science projects from around the world that involved building innovative solutions. She is mainly interested in using AI to solve problems experienced in developing countries; creating and analysing datasets for machine learning designing and developing efficient data science/machine learning pipelines for different types of datasets, and contributing to making better data and technology policies that serve communities.