DataHow Events & Training

Meet us at our next event or join one of our regular trainings and webinars

2 - 4 October, 2023

University Nova de Lisboa

DataHow is proud to be an integral part of the Hybrid Modeling Summer School for over 10 years and to be a sponsor for the 5th edition in 2023.

The summer school brings academia and industry together to learn and discuss Hybrid models in process industries. The summer school will cover the following topics:

• Benefits and challenges of hybrid modeling
• Present and discuss use cases and applications for Process Development, Process Characterization and Process Optimization/closed Loop application
• Contact with some of the most renowned specialists in academia and industry in the field of hybrid modelling
• Strong practical component with two full afternoon sessions of hands-on training with computers
• Allow participants to independently develop and apply hybrid models

6 - 8  and 13 - 15 November, 2023

Virtual: 6 half-days

Join us over 6 half-days and learn from DataHow's leadership team who are leading innovators in model-based bioprocess development.

The aim of this course is to provide an overview and advanced insight into data analytics and modeling methodologies for process data. The course scope includes:

• Special analysis techniques for process data
• Introduction to multivariate data analysis
• Introduction to machine learning techniques
• Hybrid process modeling based on process data and process know-how
• Model-based process understanding & optimization
• Model-based process monitoring and forecasting
• Application of techniques to industrial use cases

15th June, 2023

Full day: ETH Zurich

DataHow’s 3rd Symposium will bring together industry experts, academia, and innovation providers to discuss the progress of digital innovation in Biopharma. We will discuss the status of digitalization in the industry, and understand what technologies are available and how these may help.

The themes which will be covered will include: 

• The role of data in the (bio)pharma business model  
• Technological possibilities and limits of the digitization of pharmaceutical processes 
• The role of quantitative tools and hybrid models 
• Key technologies and solutions 
• The perspective of regulators 
• Successful industrial implementations 
• Ideas and findings from academic research 
• A look into the future