Design of Experiments

• On-Demand Webinar Mastering Analytical Development: Implementing DOE for the ICH Q14 Enhanced ApproachThis insightful webinar guides you through the enhanced approach described in the recently updated ICH Q14 guidance and then demonstrates the tools needed to implement design and analysis of DOE.
• Data Insight Optimize Your Processes with Interactive Statistical ModelsLearn how to make sustainable, cost-effective, and data-driven decisions through model building.
• Time to Innovate Cerba Research: Achieving Process Excellence with Design of ExperimentsWatch this video in which Marie Gerus-Durand from Cerba Research explains how Design of Experiments offers a strategic approach for professionals aiming to refine their operations for improved outcomes.
• Data Insight Problem Solving with Design of Experiments: Navigating Complex Challenges in R&D and Manufacturing Discover how design of experiments (DOE) can enhance industrial R&D, streamline operations, and improve efficiency.
• Data Insight Maximizing Insights, Minimizing Effort: Intuitive Data Visualization for Scientists and Engineers Explore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders.
• Time to Innovate Miltenyi Biotec: Mastering Decision-Making in Process Engineering: An Exploration of Design of ExperimentsWatch this video and get the knowledge and tools you need to make data-driven decisions using DOE.
• Data Insight Tolerating Input Variation: How to Design for Robust Production ProcessesEnsure consistent high-quality output and operational efficiency during the transition from development to routine manufacturing.
• On-Demand Webinar Getting started with Design of Experiments (DoE)This series of three one-hour workshops provides the necessary know-how and resources you will need to get started with DOE, including inspirational examples of the use of DoE in the many aspects of bringing products to the market.
• On-Demand Webinar Smarter Innovation with Design of ExperimentsIn this series we’ll learn how to effectively implement (or expand) the use of design of experiments at your organization.
• Statistically Speaking Synergies of Designed Data Collection and Big DataIn this Statistically Speaking, Christine Anderson-Cook while she discusses Big Data and Designed Data Collection and the synergy between the two.
• Statistically Speaking The Same, Similar, or Different? The Probability of Agreement Methodology for Evaluating Practical EquivalenceNathaniel Stevens emphasizes the utility of collecting evidence in favor of equality rather than against it, providing an overview of the probability of agreement framework for evaluating data in this way.
• Time to Innovate Synthomer: Making Data-Based Decisions in R&D and Manufacturing with Modern Design of ExperimentsJoin this webinar and learn how to get going with Design of Experiments (DOE), where to acquire DOE know-how during your adoption journey, and what to do to encourage others to follow.
• Data Insight When Spreadsheets Are Not Enough: Get More out of Your DataLearn how to gain insight into the relationships in higher dimensional data, using integrated data management, dynamic graphs and statistics.
• Statistically Speaking DOE: A Critical Component in the Data Scientist’s ToolboxFather-daughter duo Dr. Christopher Nachtsheim and Dr. Abby Nachtsheim discuss applications where DOE approaches have been successfully used for strategic development of synthetic data sets for test and evaluation of ML algorithms.
• Time to Innovate Design experiments to be robust to input variationDuring the Ondemand, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.
• Data Insight How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
• Data Insight Improving Existing ProcessesIn this webinar you will attain a deeper understanding of products and processes when some of the variables are measured at higher frequencies than others.
• Data Insight Generating Insights from DataIn this webinar you will learn the importance of using your domain knowledge, experience and intuition alongside statistical and machine learning methods.
• Statistically Speaking Making Discoveries Easier with Design of ExperimentsJoin us for keynote talks and a panel discussion where we’ll simplify DOE.
• Time to Innovate Symrise: Mastering complex processes with Design of ExperimentsLearn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
• Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
• Time to Innovate Solvay: Industrial data science for chemical process perfectionJoin us for a JMP sponsored webinar with Solvay data scientist Francisco Navarro to learn how to better understand chemical processes
• Time to Innovate Imperial College: Teaching Design of Experiments to chemists: lessons from Imperial College LondonFirst-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
• Time to Innovate Synthace: Accelerating process development with automated Design of ExperimentsJoin us to learn how Synthace’s software platform, Antha, empowers scientists to automate Design of Experiments (DoE) for optimising bioprocesses
• Technically Speaking Design of Experiments With Mixtures: A Case Study in Plastics FormulationsIn this 30-minute webinar, Wendy Tseng will show you how mixture experiments can be used to accelerate formulation development, optimize product characteristics and minimize costs.
• Statistically Speaking The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
• Statistically Speaking Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation