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NOVEMBER 2020 PROGRAM | Ifpress

November 3 - 6, 2020

SYMPOSIA:

Current Topics in Sensory and Consumer Science

November 3  |  $495

MASTER CLASS:

New Developments in Analytic Methods: Machine Learning, Drivers of Liking®, and Portfolio Optimization

November 4 - 6  |  $1,495

Presented at The Greenbrier

White Sulphur Springs, WV

 

 

 

 

 

Live streaming via Zoom

Entire Program: $1,890 ($100 discount)

*Contact us for academic and multiple registration discounts.

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.

REGISTRATION

FEE

INCLUDES:

  • Food and beverage refreshments, and lunch on Tuesday, Wednesday, and Thursday

  • Printed manuals of slides and exercises

  • 3-month free trial of the IFPrograms® Professional

  • 3 complimentary IFP webinars - choose from our library of 30 topics

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

The instructors for this course will be:

The Institute for Perception

The Institute for Perception

The Institute for Perception

Crowell & Moring

Loeb & Loeb

MolsonCoors Beverage Company (retired)

MolsonCoors Beverage Company

Takasago Intl. Corp., USA

National Advertising Division

SYMPOSIA:
Current Topics in Sensory and Consumer Science
Tuesday, November 3
Symposium 1 | Temporal and In-the-Moment Effects in Sensory and Consumer Science

8:15am - 10:15am EST

Stephen McIngvale

Dr. Charlene Thrower

Dr. Benoît Rousseau

Topics

  • Beer foam: Product changes over time and its influence on hedonics <view abstract>

  • Temporal and in-the-moment effects on consumer perception in the hair care category <view abstract>

  • Effect of time delays on discrimination performance <view abstract>

Symposium 2 | Invention and Innovation

10:30am - 12:30pm EST

Anthony (Manny) Manuele

Dr. Dulce Paredes

Dr. Daniel M. Ennis
 

Topics

  • Innovation in the beer industry

  • Eyeing Innovation – Ideation, Inspiration, and Implementation

    • Case Study: The Rise of Botanicals

  • Dual roles in invention and innovation with illustrations – major historical success cases from 1765 to today <view abstract>

Symposium 3 | Consumer Perception Surveys of Advertising Messages

2pm - 4pm EST

Chris Cole

David Mallen

Annie Ugurlayan

Dr. Daniel M. Ennis

Topics

  • When consumer perception surveys are needed and not needed in litigation

  • Current status of the design and analysis of consumer perception surveys

  • Surveys the NAD has accepted and rejected and why

  • New developments for better design, data collection, and analysis of consumer takeaway surveys

MASTER CLASS:
New Developments in Analytic Methods: Machine Learning, Drivers of Liking®, and Portfolio Optimization
Wednesday, November 4

8am - Noon EST
 

Dr. Daniel M. Ennis

Dr. Benoît Rousseau

William Russ

Introduction

  • What is meant by Machine Learning and Artificial Intelligence (AI)?

Synergistic Analytics: Connecting Advanced and Emerging Methods to Achieve New Insights
 

Computer Vision and Inspection


Overview of Machine Learning Methodologies

Sensory and Marketing Insights - Scenario 1: Pizza Project - Menu Optimization

  • Introduction to Graph Theory - Combinations and the concept of cliques

  • Networks Using Graph Theory - Computational advances in compact letter displays

1pm - 4pm EST
 

Sensory and Marketing Insights - Scenario 2: Baked Good Project - Drivers of Liking® Research

  • Review of research steps for successful category appraisals

  • Synergistic Analytics: Combining Graph Theory and Linear Programming

    • Selection of optimal sample sets for category appraisal for Baked Good Project

Tools to Minimize Experimental Biases and Optimize Test Design

Thursday, November 5

8am - Noon EST
 

Dr. Daniel M. Ennis

Dr. Benoît Rousseau

William Russ

Sensory and Marketing Insights - Scenario 2: Baked Good Project - research continues...

  • Baked good category Drivers of Liking® research

  • Unfolding using Landscape Segmentation Analysis® (LSA):

    • A processed-based Machine Learning tool

    • Uncover Drivers of Liking® space and consumer ideal points

    • Identify consumer-relevant sensory drivers

    • Generate product portfolios and their optimal sensory profiles

1pm - 4pm EST
 

Synergistic Analytics: Combining Graph Theory, Linear Programming, and eTURF 2.0

  • Application to Scenario 1: Pizza Project for menu optimization

  • Application to a fruit juice line

Synergistic Analytics: LSA and Conjoint Analysis

  • Application to a sour cream project

Synergistic Analytics: Combining Decision Trees and LSA

  • Application to Scenario 2: Baked Good Project with multiple variable characterization of uncovered consumer segments

Friday, November 6

8am - Noon EST
 

Dr. Daniel M. Ennis

Dr. Benoît Rousseau

William Russ

Introduction to R Programming
 

Qualitative Research

  • Eye tracking, text analysis, and chatbots

Reproducible Research (RR)

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

  • Introduction to RR, scripts, and version control

Version Control

  • Team-based analysis and reporting

  • Tracking changes over time

  • RStudio and GitHub

Best Practices for Writing and Maintaining Scripts

Visualizations and Report Automation

Register

Please enter your information below to register for this course. Those registering 2 or more attendees from the same company are eligible for a 20% discount on the 2nd registration. Please contact Sue Longest before registering if you are eligible for a discounted rate. 

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