Grad role or PhD? It's a question troubling many undergraduate and master's students. In this episode, Kenneth Lim talks about his experience undertaking a PhD, the pros and cons, as well as current work as part of IBM's Data Science Elite Team. We also feature a segment by Mathematics and Statistics student Kitti Kovac on the topic of differential privacy. Continue

2020 was an incredible year of growth for WDSS. In this episode, we are joined by the society President, Tim Hargreaves, to reflect on the last year and the exciting plans for 2021. We are also joined by our new Segment Host, Larabella, to discuss the inspection paradox, a statistical phenomenon that you may not have noticed, but can be found everywhere. Continue

You may think that the hardest part of statistics is knowing the right techniques, but this skill is worthless if you don't know how to ask the right question in the first place. In this episode, we talk to Professor Jane Hutton, who shares here advice on the topic. We also feature a segment in which we discuss the different types of missing values in data and how to handle them. Continue

In a world increasingly driven by algorithmic decision-making, it is vital that we understand the limitations of such technology. In this episode, Warwick professor Janothan Cave walks through a wide range of examples of algoritms-behaving-badly in health, law, finance, and more. We are feature a segment discussing creativity in machine learning. Continue

AutoML is a hot topic in data science and AI with the potential to reshape the industry. When we did deeper though, we encounter series ethical implications and limitations of the technically. Learn more in this interview with Shikhar Dev, AutoML research at Delft University of Technology. In this episode's segment we talk to Tom Palmer, a Politics student at Warwick, about his experience working with WDSS's research team for his project "The Trump Effect". Continue