October 26 - 29, 2021


Current Topics in Sensory and Consumer Science

October 26  |  In-person or online attendance: $495


Machine Learning, Unfolding, and Predictive Analytics in Sensory and Consumer Science

October 27 - 29  |  In-person attendance: $1,495, Online attendance: $1,175

Presented at The Greenbrier

White Sulphur Springs, WV






and also live streamed via Zoom

Entire Program

In-person attendance: $1,890 ($100 discount)

Online attendance: $1,570 ($100 discount)

*Contact us for academic and multiple registration discounts.

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This course has been developed for sensory and consumer scientists, product developers, market research managers, package/product testing specialists, and attorneys specializing in advertising law.





  • Printed manuals of slides and Master Class software exercises

  • A copy of our current books: Tools and Applications of Sensory and Consumer Science, Thurstonian Models: Categorical Decision Making in the Presence of Noise, and Readings in Advertising Claims Substantiation

  • Food and beverage refreshments each day, plus lunch and dinner on Tues. - Thurs. for attendees at The Greenbrier

  • A 3-month free trial of IFPrograms® Professional version for Master Class attendees

The instructors for this course will be:


The Institute for Perception


The Institute for Perception

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The Institute for Perception

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Crowell & Moring

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MolsonCoors Beverage Company (retired)


MolsonCoors Beverage Company


Takasago Intl. Corp., USA

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National Advertising Division

Current Topics in Sensory and Consumer Science
Tuesday, October 26
Symposium 1 | Approaches to Equivalence Measurement in Sensory Research

8:15am - 10:15am EST

Dr. Benoît Rousseau

Stephen McIngvale

Dr. Daniel Ennis


  • Equivalence Testing for binomial data and continuous (ratings) data

  • The TOST (two one-sided tests) vs. more powerful methods

  • Establishing a consumer relevant bound and linking it to internal panel data

  • Testing for sensory matching to avoid missed opportunities

Symposium 2 | Controls in Claims Substantiation Testing

10:30am - 12:30pm EST

Dr. Daniel M. Ennis

Annie Ugurlayan

Lauren Aronson


  • When controls are needed, and not needed, for advertising claims substantiation

  • Internal controls, external controls

  • How to design controls for consumer perception surveys

  • Examples of control tests in claims support, NAD and litigated cases

Symposium 3 | Invention and Innovation

2pm - 4pm EST

Dr. Daniel M. Ennis

Anthony (Manny) Manuele

Dulce Paredes


  • Innovation in the beer industry

  • Eyeing Innovation – Ideation, Inspiration, and Implementation Case Study: The rise of botanicals

  • Dual roles in invention and innovation - major historical success cases from 1765 to today

  • Consumer-perceived benefits of new and/or improved products

Machine Learning, Unfolding, and Predictive Analytics in Sensory and Consumer Science
Wednesday, October 27

Dr. Daniel M. Ennis

Dr. Benoît Rousseau

William Russ

9am - 1pm EST

Introduction to Machine Learning and Data Science

  • Overview of Machine Learning methodologies

  • Evaluating model performance, cross validation

Application: Sensory, analytic, and machine vision matching

Introduction to Scripting using R

  • Best practices for writing and maintaining scripts

  • The power of scripting libraries

Text Analysis

Reproducible Research

  • What is reproducible research and why should I use it?

Version Control and Decentralized Backups


RStudio and GitHub


Analyzing Social Media Data

2pm - 5pm EST

Graph Theory Principles: Combining Graph Theory and Linear Programming for faster, more extensive analyses

Application: Pizza Project - Menu Optimization

  • Combinations and the concept of cliques

Application: Displaying Rating Means

  • Compact letter displays of rating means using Graph Theory

Thursday, October 28

Dr. Daniel M. Ennis

Dr. Benoît Rousseau

William Russ

9am - 1pm EST

Principles of Unfolding

Unfolding using Landscape Segmentation Analysis® (LSA): A processed-based Machine Learning tool

  • Uncovering Drivers of Liking® space and consumer ideal points

  • Identifying consumer-relevant sensory drivers

  • Predictive Analytics: Generating product portfolios and their optimal sensory profiles

2pm - 5pm EST

Review of Research Steps for Successful Category Appraisals


Selection of Optimal Sample Sets for a Category Appraisal

Application: Baked Goods Project

  • Baked goods category Drivers of Liking® research

  • Unfolding using Landscape Segmentation Analysis® (LSA)

Friday, October 29

9am - Noon EST

Dr. Daniel M. Ennis

Dr. Benoît Rousseau

William Russ

Combining Graph Theory, Linear Programming, and eTURF 2.0

  • Application to the Pizza Project and to the development of a Fruit Juice Line

Combining LSA and Conjoint Analysis

  • Application to a Sour Cream Project

Combining Decision Trees and LSA

  • Application to the Baked Goods Project


Please enter your information below to register for this course. Academics and those registering more than one attendee from the same company are eligible for fee discounts. Please contact Sue Longest (804-675-2980) before registering if you are eligible for a discounted rate.