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#BeerFWG Crowdtasting: Pioneering A Way to Study Beer - Food Pairing A Presentation of the Beer & Food Working Group Craft Brewer’s Conference Thursday, May 5, 2016

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Page 1: Crowdtasting: Pioneering A Way to Study Beer-Food Pairing › wp-content › uploads › 2016... · 2016-05-11 · #BeerFWG Crowdtasting: Pioneering A Way to Study Beer-Food Pairing

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Crowdtasting: Pioneering A

Way to Study Beer-Food Pairing

A Presentation of the Beer & Food Working Group

Craft Brewer’s ConferenceThursday, May 5, 2016

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Ray Daniels

Pat Fahey

Julia Herz

Nicole Garneau, PhD

Randy MosherLindsay Barr, MA Chef Adam Dulye

Beer & Food Working Group

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BrewersAssociation.org/workinggroup

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A Challenging Project

Pretty tough task for science

So many variables in every

encounter

How to be precise about

something so subjective?

This will take a while

Can’t wait until we understand

everything

We have needs right now

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We Have Needs!

Clarify terms we all use

• (And hopefully standardize)

Support for practical pairing

systems and approaches

Understand people

• Sensory systems

• Cultural, personal differences

Understand what’s really

happening with interactions

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So, How to Make Progress?

Common platform (this group)

Develop better hypotheses

Data-driven science to support

hypotheses

Improve current systems & approaches

with published papers

Self-reported pairing successes, failures• Wiki approach

• With enough data, can we tease out rules?

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Building a Pairing Foundation

2 Key Goals:

• Research Backed

Interactions

• Universal Lexicon

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Building a Comprehensive Pairing Lexicon

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Flavor Foundation:

The Senses

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Beer Flavor Map:

Building a universal vocabulary

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Challenges in unifying interaction

vocabulary

Nuances of language• e.g. are “enhance,” “brighten,” and

“aggravate” similar interactions?

Metric terms vs. Hedonistic

terms• Enhance/Suppress vs. Home Run/Clash

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Challenges of research-backed

Investigate: What interactions

are already science-backed?• e.g. Sweet suppresses bitter

Discover: What interactions

need research to support?• e.g. Does bitter really cut fat?

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Crowdtasting:

Big data sets to study flavor

E v e r y d a y p e o p l e u s i n g t h e i r

s p a r e t i m e t o “ c r e a t e c o n t e n t ,

s o l v e p r o b l e m s , e v e n d o R & D . ”

~ J e f f H o w e

W i r e d M a g 2 0 0 6

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Big picture: what we did

3 food items and 4 beer styles (blinded)

400 crowdtasting participants• Preference-based

survey

7 sensory panelists• Intensity scaling &

descriptive analysis

Denver Museum of Nature & Science

March 25, 2016

New Belgium Brewing Co.

March 26, 2016

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Objectives of Pilot Crowdtasting

Explore the logistics

of the crowdtasting

model

Gather preliminary

data on interactions to

inform future studies

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Umami

Sweet

Spicy

Brown Ale

Hefeweizen

American Stout

American IPA

Food and beer selection strategy

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Results:

Descriptive analysis of food

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Results:

Beer & food pairing preference

Brown Ale Hefeweizen

American Stout American IPA

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Results:

Preliminary Trend

Expert Panel:

Umami taste Beers

Consumer

Preference

Brown Ale

Hefeweizen

&

American IPA

American Stout

No change Neutral

Changes in umami perception changes preference

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Why it matters

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• Additionally, 90 percent of people surveyed indicated they sometimes drink craft beer

with food—with 60 percent likely to pick a specific beer style in that occasion.

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Immediate next steps

More crowdtasting events!

Pairing Evaluation Guide• Incorporating and unifying various lexicons

Virtual Crowdtasting• Community engagement