Join us Online July 28-30, 2020

Over three days, you will get the opportunity to listen to lectures, participate in Zoom breakout rooms, and engage with other attendees!

The online workshop will be held from 10:00 am - 2:30 pm CST each of the three days.

Registration is no longer available for this course.

Is your job at risk of being replaced by a machine?

Machine Learning, a sub-branch of Artificial Intelligence (AI), is not only altering the manufacturing landscape but also the roles that people will play in future employment. It is important for us to embrace the coming changes and be prepared for this new nature of work. One way of remaining relevant is to develop an understanding of emerging computational tools that keeps humans in the loop by conducting work that cannot be automated. 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.

Agenda Overview

July 28th, 10:00 am - 2:30 pm CST

• Overview of machine learning methodologies
• Networks using graph theory
• Sensory and Marketing Insights Scenarios
• Optimization, applications of linear programming

July 29th, 10:00 am - 2:30 pm CST

• Synergistic Analytics
• Consumer-centric product development and marketing
• Qualitative Research
• Reproducible research (RR)

July 30th, 10:00 am - 2:30 pm CST

• Version control
• Best practices for writing and maintaining scripts
• Visualizations and report automation
  

IFT Members Save on Registration Fees

• IFT Member: $600
• Non-Member: $765
• Student: $300

Instructors

Dr. Daniel M. Ennis, Ph.D.

Dr. Daniel Ennis has doctorates in both food science and mathematical & statistical psychology. He is also a Professional Statistician accredited by the American Statistical Association. Dr. Ennis has published extensively on mathematical models for human decision making and was the first to show that humans possess a transducer in the chemical senses. In 2001, he solved the degeneracy problem in multidimensional unfolding.

Danny is a recipient of the Sensory and Consumer Sciences Achievement Award from IFT and also the ASTM David R. Peryam Award in recognition of “outstanding contributions to the field of basic and applied sensory science.” Dr. Ennis consults globally and has served as an expert witness in a wide variety of advertising cases.

Dr. Benoît Rousseau, Ph.D.

Dr. Rousseau received his food engineering degree from AgroParisTech in Paris, France and holds a PhD in sensory science and psychophysics from the University of California, Davis. He has 25 years of experience in managing projects in the field of sensory and consumer science, actively working with clients in the US, Asia, Latin America, and Europe. His theoretical and experimental research has led to numerous journal articles as well as several book chapters. Benoît is well known for his advanced presentation skills, where his use of sophisticated visual tools greatly contributes to the success of The Institute for Perception communications, short courses, and webinars. Dr. Rousseau has also been appointed as a visiting professor at Chuo University in Japan.

William Russ

William (Will) Russ is a Computational Market Researcher and Lead Programmer for The Institute for Perception. Will has a BS in Applied Mathematics and frequently works on internet surveys for product development, marketing, and regulatory compliance. His research interests include optimization, machine learning, graph theory, and numerical analysis. Will has taught principles of data science and machine learning with applications to sensory and consumer science, including consumer surveys.