Join us on March 25 & 27 for this two part workshop and discover a better way to experiment

Are you seeking a powerful statistical methodology when planning your experimental work? Something that benefits the chemical and processing industries? Design of experiments (DoE) might be just what you need. By adopting DoE, scientists and engineers can:

  • Refine their understanding of how their product, system, or process performs, while exploring the nuanced relationships between inputs and outputs
  • Develop innovative solutions tailored to unique challenges, consistently optimising performance while minimising costs
  • Maximise efficiency by adopting strategies that can reduce experimental time, budget, and resources

Even with its well-documented benefits, DoE is often underutilised, especially for solving specialised or constrained problems. This two-part workshop equips you with the tools you need to tackle these challenges head-on, expanding your expertise in DoE and its application in real-world scenarios.

Discover:

  • Why DoE is a faster, more reliable, and cost-effective approach to solving complex challenges
  • Key terminology and common DoE types
  • New pathways to deepen your knowledge and advance your skills in DoE

The workshop’s hands-on exercises are designed to refine your skills in designing, running, and analysing a simple experiment – all while giving you the chance to ask experts questions in real-time.

Complete both workshop modules to earn a certificate from the Royal Society of Chemistry.

Please note: Closed captions (subtitles in English) are available on this webinar.

Certificates are available for attending both parts of the ‘Design of experiments: Smarter methods, better results’ programme.

Eligibility

Certificates are available to those who either attended the programme live or watched it on-demand after the broadcast date.

The Chemistry World team will check that the below conditions have been met prior to issuing a certificate to you.

  • You must have personally registered for both parts of the programme. You cannot have someone else register on your behalf, nor attend or watch the webinars using someone else’s account.
  • You must have either attended live or watched on-demand both parts of the programme in their entirety by the closing date of 25 April 2025.

How to claim

  • If you attended the programme live then certificates will be automatically issued to the email address you provided at registration within one week of broadcast. You need take no further action.
  • If you view both parts on-demand – after the initial broadcast date – you will receive your certificate within one calendar week of completion. You must watch both parts before the closing date, as claims made after this date will not be honoured.
  • Certificates will normally be issued within 2 weeks of completion of both parts of the workshop.

Please note that your certificate will show your first and last names exactly as you provided at registration. No changes can be made.

Register now

Day 1: Introduction to Design of experiments and Easy DoE

What is DoE? From example case studies, discover why this is such an important tool for scientists and engineers.

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Day 2: Tailored DoE approaches

Sometimes specific experimental challenges need more tailored DoE approaches to solve the problem. This session shows some special cases to fit the design to your problem.

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Meet your JMP experts

Jonas Rinne

 

Photo of Jonas Rinne, Sr. associate systems engineer, JMP

Jonas Rinne is a Senior Associate Systems Engineer for JMP Statistical Discovery. Based in Germany, he provides technical support to customers. Jonas has a background in mechanical engineering, specialising in materials science. Prior to joining JMP, he held a hybrid role as an industrial researcher and academic assistant developing laser welding processes. Jonas holds a PhD in mechanical engineering.

You can find Jonas on LinkedIn here.

 

Owen Jonathan

 

Owen Jonathan, Associate systems engineer, JMP

Owen Jonathan is an Associate Systems Engineer for JMP Statistical Discovery, which creates interactive and highly visual statistical discovery software for scientists and engineers. His role involves identifying critical business issues of customers in the UK and guiding them as they adopt data-driven solutions for their organisations. Owen has a master’s in systems and synthetic biology from Imperial College London, UK. Prior to becoming a Systems Engineer, Owen joined JMP as an intern where he identified design of experiments (DoE) applications in the field of biotechnology and delivered DoE workshops with relevant case studies to synthetic biologists.

You can find Owen on LinkedIn here