openair: open-source tools for air quality data analysis Hands-on session

Why open-source tools for air quality analysis?

1. Science that everyone can see and improve

Open tools make methods transparent: anyone can check how results were obtained, reproduce analyses, and build upon them. This strengthens scientific credibility and policy relevance.

2. Knowledge without barriers

Licenses and costs often limit access to specialized software. Open-source tools democratize air quality science, giving every researcher or student the same opportunities to learn and contribute.

3. A global community of practice

From code to data visualization, open-source ecosystems thrive on collaboration. Thousands of scientists contribute, share scripts, and help others, turning individual efforts into collective progress.

4. Freedom to adapt and innovate

You’re not locked into predefined functions or interfaces. You can tailor analyses to your context and combine tools in creative ways.

5. Building long-term capacity

Using open-source tools develops transferable skills (data handling, scripting, visualization). This empowers institutions to maintain and evolve their analytical capacity independently