I’m putting together a modern-science project that zeroes in on Environmental Science, with a specific emphasis on air-pollution issues. The broad goal is to investigate today’s most pressing urban air contaminants, trace their sources, and evaluate evidence-based mitigation strategies drawn from the latest research. Here’s what I need help with: • Locating and curating recent peer-reviewed studies (preferably published within the last five years) on particulate matter, NOx, SO₂, ozone, and related health impacts. • Extracting or compiling open-source data sets that illustrate current trends—think PM2.5/PM10 measurements from reliable monitoring networks. • Running a concise analysis in Excel, R, or Python (your choice) to highlight key patterns and visualise them in clear, publication-ready graphs. • Summarising findings in a well-structured write-up (around 2,500–3,000 words) with properly formatted references. Acceptance criteria 1. A spreadsheet or CSV containing cleaned data plus any scripts or notebooks used. 2. At least three compelling charts (e.g., time-series plots or geographical heat maps). 3. A draft report that synthesises the literature and your data insights, delivered in editable format. If you have experience in environmental science, atmospheric modelling, or scientific writing, I’d love to see samples of your previous work when you apply. Let’s create something rigorous and useful for policymakers, educators, and the wider scientific community.