In this thesis, we hypothesize that data visualization users are subject to systematic errors, or cognitive biases, in decision-making under uncertainty. Based on research from psychology, behavioral economics, and cognitive science, we design five …
From a once-in-a-century pandemic to volatile swings in stock markets to turbulent political elections, uncertainty is all around us. Yet why do so many data analysts, data scientists and data journalists tend to ignore uncertainty? Or worse, can bad …
Recent advances in machine learning and deep learning have provided substantial gains in many predictive tasks like image recognition, text classification, and speech recognition. However, implementing such models in practice, especially for …