Data for Good

Meet: data-driven NEIPA

Written by
DSL
Published on
August 14, 2024

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[vc_custom_heading text=”From hard numbers to the smooth taste of the perfect NEIPA” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes”][/vc_column_inner][/vc_row_inner]

The first fully data-driven beer is a reality.
In a collaboration between Uiltje Brewing Company and Data Science Lab, the perfect – data driven – New England India Pale Ale has been developed.
Often a beer is brewed on instinct, the knowledge and skill of the brewer and sometimes luck itself, but this does not apply to this unique collab: the Data Driven NEIPA.
Through web-scraping, characteristics are extracted from the flavor descriptions of beer reviews, for example from the major consumer platform Untappd.
These characteristics are eventually reduced to different categories through coding.
These include: beer style, average score, hop flavors and aromas, , bitterness, sweetness, caramel, fruit types, et cetera.
From this, a data file is created after which a model is created to determine the perfect flavor combination.
This is not about the highest scoring characteristic but entirely about balance.
The results were shared with the brewers at Uiltje who were able to translate this into a recipe derived entirely from this data analysis.
By using the right combinations and proportions, this NEIPA is next level.
Uiltje Brewing Company and Data Science Lab are two young companies and found each other in a completely unsurprising way: during the VrijMiBo.
During this spontaneous and cozy afternoon, the experimental seed was planted between the brewers and data scientists and, we now know, it grew to unprecedented heights of taste: The ultimate beer was born.
Wait no longer and taste hard numbers & soft flavors.
Computer says Go!

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