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NOVEMBER 2019 PROGRAM | Ifpress

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.

SYMPOSIA:

Current Topics in Sensory and Consumer Science

November 11  |  $495

MASTER CLASS:

Introduction to Machine Learning, AI, and Emerging

Computational Tools

November 12 - 13  |  $1,495

The Greenbrier  |  White Sulphur Springs, WV

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

*Contact us for academic and multiple registration discounts.

November 11 - 13, 2019

REGISTRATION

FEE

INCLUDES:

  • Food and beverage refreshments

  • Lunch and a group dinner on Monday and Tuesday

  • Printed manuals of slides and exercises

  • FREE IFPrograms® Tools software and a 3-month free trial of the Professional version

  • Complimentary IFP webinar - choose to attend an upcoming presentation or download a past recording

  • 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

Takasago Intl. Corp., USA

National Advertising Division

SYMPOSIA:
Current Topics in Sensory and Consumer Science
Monday, November 11

8:15am - 10:15am

Stephen McIngvale

Charlene Thrower

Benoît Rousseau

Symposium 1 | Temporal Effects in Sensory and Consumer Science

Topics

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

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

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

10:30am - 12:30pm

Anthony (Manny) Manuele

Dulce Paredes

Daniel Ennis
 

Symposium 2 | Invention and Innovation

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 from major historical success cases <view abstract>

2pm - 4pm

Chris Cole

David Mallen

Annie Ugurlayan

Daniel Ennis

Symposium 3 | Consumer Perception Surveys of Advertising Messages

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:
Introduction to Machine Learning, AI, and Emerging Computational Tools
Tuesday, November 12

8am - Noon
 

William Russ

Daniel Ennis

Introduction

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

  • Why the high interest to Market Researchers and Consumer Scientists?

Overview of Machine Learning Methodologies

  • Neural Networks

  • Natural Language Processing (NLP)

  • Deep Learning Cluster Analysis

  • Decision Trees Random Forests

  • Applications to market research and consumer science

Graph Theory Applications

  • Development of brand component bundles using graph theory

    • Application to a fruit-juice line

  • Visualizing data with Compact Letter Displays (CLDs)

    • Tables of liking and sensory attribute mean differences

Development of Product Lines

  • Optimization

  • Applications of Linear Programming

  • TURF and eTURF 2.0

  • Comprehensive Market Coverage Analysis (CMCA)

    • Selecting optimal TURF solutions​

1pm - 4pm
 

William Russ

Daniel Ennis

Consumer-Centric Product Development and Marketing

  • Portfolio optimization and segment characterization

Computational Advances in Statistical Analysis

  • Bayesian Methods

  • Bootstrapping

  • Simulations

Qualitative Research

  • Eye Tracking

  • Text Analysis

  • Chatbots

Wednesday, November 13

8am - Noon
 

William Russ

Daniel Ennis

Reproducible Research (RR)

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

  • An introduction to RR scripts

Version Control

  • Team-based analysis and reporting

  • Tracking changes over time

  • RStudio and GitHub

Best Practices for Writing and Maintaining Scripts

 

Visualization and Report Automation

 

Summary and Conclusion

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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