Data Science in Beer

Lighting talk given at the Research Bazaar in Gainesville, FL. How data science can be applied in the craft brewing industry.

Transcript

1. DATA SCIENCE IN BEER J AV I E R A R U D O L P H #ResBazGNV 2019
2. Analyzing Beer D a t a d r i v e n d e c i s i o n m a k i n g i n t h e b r e w h o u s e F B G A n n u a l C o n f e r e n c e A u g u s t 7 t h , 2 0 1 9 A r t h u r R u d o l p h P h D @ c r a f t b e e r s c i J a v i e r a R u d o l p h @ j a v i r u d o l p h #ResBazGNV 2019
3. Managing data in the brewery There’s a lot to deal with. • Physical copies of logs • Lab notebooks • Excel spreadsheets • Brewery management software reports • Output from lab equipment • Notes scribbled on scraps of paper #ResBazGNV 2019
4. Data entry with Google forms • Free! • Easy to access • Completion required • Data protected • Easy to monitor • Spreadsheet output • Text or paragraph answers • Drop down menus • Multiple choice or check boxes • Scales and grids • Time and date • Timestamps #ResBazGNV 2019
5. BREWERY EXAMPLE #ResBazGNV 2019
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10. The data you (already) collect • Specific gravity, pH, & temperature – Mash and lauter – Pre-boil and post-boil – Throughout fermentation • Cell counts & viability – Pre-pitch and throughout fermentation • Dates & times • Who’s doing the work #ResBazGNV 2019
11. Modeling yeast population dynamics ASBC yeast-14 #ResBazGNV 2019
12. Thank you! Javiera Rudolph @javirudolph Ar thur Rudolph @craftbeersci ar thur@craftbeersci.com QUESTIONS? #ResBazGNV 2019