Data Science @ CSPH

Effectively working with data is how good science gets done. At CSPH, we adopt the most effective and cutting edge strategies and tools in data science to carry out our work, ensuring it aligns with FAIR (Findable, Accessible, Interoperable, and Reproducible) science principles. Whether it's through writing reproducible code, securely storing and managing big data, effectively communicating results, or distributing and open-sourcing our work, we strive to ensure that our research is transparent, collaborative, and impactful. Our commitment to best practices in data science empowers us to tackle complex environmental and public health challenges, foster innovation, and support a culture of continuous learning and improvement.

Below, you'll find numerous introductory resources to learn how we carry out our scientific investigations and experiments.