In this episode, we talk about our different approaches to reading published scientific papers.

In this episode we chat about how storing and managing research data has changed in the last three decades, discussing what has improved and what has stayed the same over time.

In this episode, we discuss common issues we encounter when we help with grant applications, especially the pet peeves that really bother us.

In this episode, we discuss our favorite movies that depict scientific research, statistics, or data analysis.

Data science encompasses many different tools and statistical techniques. In this episode, we discuss data science and the differences between machine learning and traditional statistics.

In this episode, we discuss how many measures to include when designing a study from our perspectives as data scientists -- how many questionnaires are too many?

In this episode, Martina and Cale discuss the similarities and differences between SAS and R, two different statistical programming languages that are widely used in the health sciences.

In this episode, we discuss the purpose of pilot studies in modern research: feasibility, acceptability, tolerability, and safety.

In this episode, we introduce ourselves and discuss what brought us to pursue our respective careers in public health and data science, and what eventually led us to be part of the HIV Center.

In this first episode of our podcast, instead of starting with a detailed introduction of hosts, we decided to start by discussing an important topic: when to speak to biostatisticians and database specialists when preparing a grant. The discussion is between Martina and Cale, who are biostatisticians, and Richard, who is a senior data manager and data systems expert.