Talks & Posters: Present Your Research

I've built the slides: 12 main slides plus 2 backups. The build reports no overflow or blurry figures, the content check has nothing left to fix, and all 86 numbers on the slides and in the notes trace back to paper.md or data/daily.csv. I also recomputed every number in the paper from the data, and they all match.

Files (in talk/): deck.pptx to edit and present from, with speaker notes on every slide; render/deck.pdf as a backup copy; deck_notes.md; make_slide_figures.py, which redraws your three figures from the data at slide size (same correction, κ = 0.35, same held-out days); sources.md and storyboard.md.

Main message (slide 3, repeated on the end slide): a one-parameter humidity correction cuts sensor error by 69% on held-out days (RMSE 16.8 → 5.2 µg/m³).

Timing: 10.3 of 12 minutes planned. Problem and finding 2.1 min, evidence 6.4 min, limits 1 min, take-home 0.8 min.

Things to know before you present

Your abstract has a wrong number. It says the correction cuts error "by three-quarters", but your own results and data give 69%. The slides use 69%.

• There is no contact email on the end slide, because none was in the material.
• The end slide gives advice the study doesn't test, so I worded it as "45 days here … test it at your own site".

Fresh-reader test: a separate agent saw only the slide images, stated the main message correctly and read every slide as intended. From its notes I fixed the title's line breaks, one headline and a clipped peak.

Likely question: does one κ suit every sensor? In your data it doesn't (one sensor's error rises after correction). That isn't in the paper, so it stays off the slides; the details are in sources.md.