Thanks, all! Pro_drunk, good question; we could simply outline the results here as a thread (using HTML tables for data and jpegs for figures). If we do a good enough job, we could shoot for an academic journal (the Journal of the Institute of Brewing or the Journal of the American Society of Brewing Chemists).
Ideas mentioned above, so far, that sound feasible and potentially interesting for a small army of homebrewers:
1. compare wort aeration rate (none, medium, high - Olive Oil) -- measure lag time, total attenuation, and qualitative factors
2. trub or no trub -- less to measure quantitatively on this one, but with enough samples, we could get a good handle on the qualitative effects
3. steady vs varying temperature -- same measurements as in (1); could be hard to control the varying temperature regime, but worth a try
4. compare different wheat strains -- I like this because I work on a wheat research station. Question is, what would we measure?
others alluded to:
5. boil time -- effect on DMS? We'd control for hop utilisation (i.e., do the same hop schedule relative to the end of the boil). Might be difficult to measure DMS, but I have colleagues who have the necessary equipment and might be keen to contribute.
6. temperature of single-infusion mash -- measure OG, FG, and measure body, etc., qualitatively. This one is cool because we could directly test all the hooyah about alpha vs beta amylase temperature optima
Adr_0: your pH idea is perfect, but almost too easy because you'd get the result on the spot. On the other hand, maybe that's a strength, and a good place to start.
**One important point: we don't have to have replication within each brewer's setup. We can replicate across brewers. e.g., have 10 guys brew at condition A, another 10 at condition B. So there's room for just about everybody to participate. "Strength in numbers" is a very real thing in science. The larger the sample size, the more uncontrolled variation we can tolerate.
Any other thoughts/ideas?