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Webinars

The Institute for Perception hosts a quarterly webinar series. These webinars, which are 75 minutes in length, include the opportunity to ask questions in real-time during the presentation and a PDF copy of the slides following the webinar.

Recordings of webinars are also available for purchase, and include PDF copies of the slides presented.

More information on our upcoming webinars and past webinars is available below.

Upcoming Webinars

Check back for more information on our upcoming webinars. Interested in staying up-to-date on our webinar happenings? Join our mailing list and we'll send you notifications when registration opens up for these events and when new webinars are announced!

UPCOMING WEBINARS

PAST WEBINARS

Past Webinars

Our completed webinar offerings are listed below. Recordings are available for $289 or $145 with an IFPresentations™ subscription.

Sensory Difference Tests

Replicated Preference Testing to Diagnose Consumer Segmentation

Taught by Dr. Daniel Ennis

An Introduction to Thurstonian Modeling – PART 1

Taught by Dr. Benoît Rousseau

Advances in Tetrad Testing

Taught by Dr. John Ennis

Precision of Measurement in Sensory Difference Testing

Taught by Dr. John Ennis

How to Calculate Consumer Relevant Risk using Sensory Difference Tests

Taught by Dr. John Ennis

Predicting Future Product Success: Capitalizing on Historical Consumer Data

Taught by Dr. Benoît Rousseau and Dr. Daniel Ennis

Sensory Discrimination Testing: Linking Internal Panelists and Consumers

Taught by Dr. Benoît Rousseau

Introduction to Thurstonian Modeling for Discrimination Testing

Taught by Dr. Benoît Rousseau

Preference without a Significant Sensory Difference? A Solution

Taught by Dr. Benoît Rousseau

An Introduction to Thurstonian Modeling – PART 2

Taught by Dr. John Ennis

Developing Consumer Relevant Action Standards for Sensory Difference Testing

Taught by Dr. Benoît Rousseau

Discrimination Testing with Batch-to-Batch Variability

Taught by Dr. Benoît Rousseau

Derived Preference and Difference from Applicability Scoring

Taught by Dr. Daniel Ennis and Dr. Benoît Rousseau

Developments in Discrimination Testing for Sensory Equivalence

Taught by Dr. Benoît Rousseau

Selecting the Right Sensory Method: A Step-by-Step Guide

Taught by Dr. Benoît Rousseau

Advertising Claims Support

Supporting Count-Based Sensory Advertising Claims

Taught by Dr. John Ennis

Claiming Equivalence, Unsurpassed, and Superiority Simultaneously

Taught by Dr. Daniel Ennis

Odor Elimination Claim Substantiation

Taught by Dr. Daniel Ennis

Issues in Supporting “Up-to” Claims

Taught by Dr. Daniel Ennis

Supporting Numerical Superiority Claims

Taught by Dr. Daniel Ennis and Dr. Benoît Rousseau

Drivers of Liking® and Landscape Segmentation Analysis®

Mapping Techniques to Link Consumer and Expert Data

Taught by Dr. Benoît Rousseau

Maximizing Consumer Insights by Contrasting Blind and Branded Test Findings

Taught by Dr. Benoît Rousseau

Unfolding Financial Markets

Taught by Dr. Daniel Ennis

Thurstonian Models Part 2: Drivers of Liking®

Taught by Dr. Daniel Ennis

Understanding the Consumer: Preference Mapping vs. LSA®

Taught by Dr. Benoît Rousseau

Predicting Future Product Success: Capitalizing on Historical Consumer Data

Taught by Dr. Benoît Rousseau and Dr. Daniel Ennis

Drivers of Liking® with Incomplete Block Designs and Missing Data

Taught by Dr. Daniel Ennis

Combinatorial Tools

Hiding in Plain Sight: Finding New Opportunities using Graph Theory

Taught by Dr. John Ennis

eTURF 2.0: A Cutting Edge TURF Solution for Datasets of All Sizes

Taught by Dr.John Ennis

Introduction to TURF

Taught by William Russ and Dr. Daniel Ennis

Introduction to Graph Theoretic Tools

Taught by Dr. John Ennis

Large TURF Problems: Finding Custom Solutions

Taught by Dr. John Ennis

Design Issues in Product Tests and Surveys

The Science of Answering Questions

Taught by Dr. Daniel Ennis

Removing Experimental Biases in Sensory and Consumer Research Data

Taught by Dr. Benoît Rousseau

Developments in Applicability and CATA Scoring

Taught by Dr. John Ennis

Sequential Product Testing:
Minimizing Bias and Increasing Data Reliability

Taught by Dr. Benoît Rousseau and Dr. Daniel Ennis

Innovation

Invention and Innovation

Taught by Dr. Daniel Ennis

From Invention to Innovation

Taught by Dr. Daniel Ennis

Machine Learning

Action Standards for Machines and Humans in Quality Assurance

Taught by Dr. Daniel Ennis and Benoit Rousseau

Text Analysis of Open-Ends

Taught by Dr. John Ennis and William Russ

Synergistic Analytics: Turbo-Charging Consumer Analytics (Part 2)

Taught by Dr. Daniel Ennis and William Russ

R for Sensory Scientists: Part 2

Taught by William Russ

A Three-Step Approach to Characterizing Consumer Segmentation via Machine Learning

Taught by Dr. John Ennis and William Russ

Synergistic Analytics: Turbo-Charging Consumer Analytics (Part 1)

Taught by Dr. Daniel Ennis and William Russ

R for Sensory Scientists: Part 1 (Foundations)

Taught by William Russ

R for Sensory Scientists: Part 3

Taught by William Russ

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