How Design of Experiments Can Transform the Way We Innovate



10:30 – 12:00 CET | 9:30 – 11:00 GMT

Can you use structured experiments to solve intractable problems and create novel products?

Trying new things is foundational to innovation. If you work for an organization that is establishing new products or processes; or in an industry characterized by speed, precision or stiff competition; then you may have heard of design of experiments (DOE). With DOE, we actively manipulate factors according to a prespecified plan to gain useful, new understanding of relationships among the inputs and outputs. DOE allows us to make better use of existing data, solve problems we couldn’t solve before, improve our decision making and innovate. The methodology also leads us to new questions we should explore.

George Box once said, “Discovering the unexpected is more important than confirming the known.” And non-intuitive findings and efficiencies gained using DOE can give you a significant competitive advantage.

Join us for a keynote talk and panel discussion where we’ll simplify the term DOE, turning it from overwhelming to imperative. Our speakers passionately advocate for every engineer and scientist to adopt DOE as an essential tool for efficient, effective discovery of practical insights. Attend and you’ll learn the power of DOE to speed innovation; achieve faster, more predictable cycles; and save time. You’ll also hear real-world DOE case studies from prominent organizations that have a lot to share about their successes and challenges implementing a structured approach to experimentation.

Featured Keynote

Timothy Gardner

Timothy Gardner

Founder and CEO, Riffyn

Timothy Gardner is a scientist and leader in the field of synthetic biology. He was previously Vice President of R&D at Amyris, where he led the engineering of yeast strain and process technology for biomanufacturing of renewable chemicals. Gardner has been recognized for his pioneering work by Scientific American, the New Scientist, Nature, Technology Review and the New York Times. He also serves as an adviser to the European Union Scientific Committees, Imperial College London and the Boston University Engineering Alumni Advisory Board.

Panel Discussion

How can you help your organization remain agile and know when a concept will work – and when it won’t? The reality is, many of our processes are far too complex to rely on theory alone. Whenever there is more than one factor – that is, in almost all real-world situations – a design that changes just one factor at a time is inefficient. To properly uncover how factors jointly affect the response, you need to use DOE. Hear real-world examples during a discussion with:

  • Dirk de Bruyn Ouboter, Platform Lead for Electronic Data Capture, Syngenta
  • Sarah Timp, Lab Manager Media Development, Alvotech
  • Victor Guiller, R&D Engineer, FUCHS

What will you learn?

When it comes to solving problems in industrial R&D and manufacturing, we need structured experimentation to gain fundamental knowledge of our systems, processes and products. And once processes are well-defined and predictable, your organization can deliver more confidently on a commercialization timeline. Without this knowledge in an ever-changing world, you run the risk of losing your competitive advantage, profits or business.

You'll gain a better understanding of:

  • Why (and when) effective organizations use DOE. 
  • Why DOE is more effective than one factor at a time (OFAT) experimentation. 
  • How to find the few factors that most affect the response of interest. 
  • The critical role of DOE when running a business with the lowest inventory. 
  • How to build smart designs more quickly and efficiently to save you time and effort and make better use of your resources.
  • Using DOE to make more time to focus on the science you love. 
  • Why more organizations don’t take advantage of DOE – and how to overcome these barriers. 
  • Tips for starting and leading initiatives to strategically try new things at your organization.

Meet the Speakers

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