ENBIS-20 Online Conference

28 September – 1 October 2020; Online

Active session


Christian Ritter, Independent Consultant and Professor at UCLouvain, Belgium


Monday, 28 September 2020, 17:00-18:00 CEST

Berlin, Paris: 17:00 / London: 16:00 / New York: 11:00 am / Los Angeles: 8:00 am / Ciudad de México, Lima: 10:00 am / São Paulo: 12:00 am / Beijing: 23:00


In this session, you will explore and discuss two fresh open problems. Two volunteers will briefly present an open case they are working on, you'll ask questions and give advice, and Christian will facilitate the meeting to make sure that everybody contributes. It's a session type we experimented with at a few ENBIS conferences which gives participants an opportunity to enter much more deeply into the subjects and we decided to try it out online this time. Be curious ...
Practical information: We are looking for two volunteers to introduce projects they are working on and on which they would like to receive guidance and advice by the ENBIS audience. If you are currently working on a subject and aren't sure how to deal with it or how to do it better, let Christian know and he will see if it could be a case for the ENBIS live session. If selected, you would be asked to briefly introduce the case during the session (7 minute maximum). You can either do it live or via a recorded mini-presentation. Then you should be ready to answer questions from the audience and to actively follow the discussions.


Christian Ritter is an independent statistical consultant and part time. Over 30 years of professional experience, he contributed to hundreds of projects covering experimental designs, exploratory analysis, modeling, reporting and communication. His special interests include computational statistics and simulation applied to industrial statistics, statistical graphics, and of course, improvisation and interaction in teaching and consultancy. 25 years ago, he adapted the Wisconsin course on statistical consulting to the context of UCLouvain and has been teaching it since then. Five years ago, he created an intensive course called 'Junior Data Analyst' which gives quantitative-minded people with degrees in human and social sciences an opportunity to enter careers in data science. It now graduates more than 30 participants per year who fill positions in many different businesses and public services. The key to success in this training is the combination of communication and analytical skills. Facilitating communication to enhance analytics is also the objective of ENBIS Live.


Active session


Sonja Kuhnt, PhD, Professor of Mathematical Statistics at FH Dortmund University of Applied Sciences and Arts, Germany

Shirley Coleman, PhD, Technical Director at Industrial Statistics Research Unit, Newcastle University, UK


Tuesday, 29 September 2020, 17:00-18:00 CEST

Berlin, Paris: 17:00 / London: 16:00 / New York: 11:00 am / Los Angeles: 8:00 am / Ciudad de México, Lima: 10:00 am / São Paulo: 12:00 am / Beijing: 23:00

About the session:

Are you interested in case studies and real-world problems for active learning of statistics? Then come and join us in this interactive session organised by the SIG Statistics in Practice. A famous project for students to apply the acquired knowledge of design of experiments is Box's paper helicopter. Although being quite simple and cheap to build, it covers various aspects of DoE. Beyond this, what other possible DoE projects are realistic in a teaching environment? What are your experiences in using them? Can we think of new ones? There are lots of ideas we could explore, involving more complex scenarios like time series dependents with cross overs, functional data analysis, as well as mixture experiments. We want to share projects, discuss pitfalls and successes and search our mind for new ideas. Come and join us for this session. You may just listen, enjoy and hopefully contribute to the discussion or even share a project idea. Please send an email to Sonja (sonja.kuhnt@fh-dortmund.de) or Shirley (shirley.coleman@newcastle.ac.uk) if you have a hands-on project and are willing to share it with us. The project should be doable within 2-3 teaching lessons and affordable material. If selected, we ask you to introduce the case during the session briefly (5 minute maximum). You can do it either live or via a recorded mini-presentation.


Sonja Kuhnt is a professor of mathematical statistics in the department of computer science at FH Dortmund University of Applied Sciences and Arts. She received her doctoral degree and habilitation in Statistics from TU Dortmund University. Her research interests include the design and analysis of real and computer experiments, categorical data analysis and robust statistics. She serves the statistical community in her function as director of ENBIS and by being an associate editor of CSDA and Statistical Papers.

Shirley Coleman is a Technical Director in the School of Mathematics, Statistics and Physics at Newcastle University. She received her doctoral degree in computer graphics, statistics and morphometry from Newcastle University. Her research interests include the design and analysis of experiments to tackle real challenges and find workable solutions in marine and healthcare sectors, process and manufacturing industry and digital marketing. She serves the statistical community in her function as an Honorary Officer of the Royal Statistical Society, a past president of ENBIS and contributor to academic journals and popular press.


Conference course

All models are wrong – but which are useful?

Thursday, 1 October 2020. 15:00 CEST

Berlin, Paris: 15:00 / London: 14:00 / New York: 9:00 am / Los Angeles: 6:00 am / Ciudad de México, Lima: 8:00 am / São Paulo: 10:00 am / Beijing: 21:00


Volker Kraft (SAS Institute GmbH – JMP Division, Germany)


You have a business or research question, you’ve collected or found appropriate data, and you are ready to analyze. But which analytical methods should you try? And how will you choose a final – hopefully the most useful – model? In this seminar, we will look at several data scenarios and discuss modeling options and a framework for comparison. We will look at how different questions or goals affect the modeling choices we make (Predict? Explain? Find associations?). Models covered will include traditional methods like (penalized) regression, structural equation modeling or tree-based models, as well as unsupervised and supervised machine-learning tools like clustering, neural networks or support vector machines. Comparison techniques will include residual analysis, comparing fit statistics and cross-validation.

In order to support interworking with other software, we will also cover (briefly) how to import data into JMP and how to export model scoring code (e.g. as C, Python or SAS code). We will also show options to share results and visualizations from the model building and assessment phases. 

The format of this course will be a mix of conceptual presentations, live demos and interactive communications. All content will be shared with the participants.
Regarding hands-on, attendees without access to JMP Pro may request a JMP Pro 15 trial version (for Windows or Mac) to explore the workshop examples at their own pace. JMP users may also join the Early Adopter 16 program to try some new features for advanced modelling which will be demonstrated as well. No prior familiarity with JMP is required.

Keywords: Predictive modeling, machine learning, exploratory modeling, model evaluation, statistical thinking.

Short Bio

Volker Kraft is Senior Academic Ambassador for JMP in Europe, fostering and supporting the use of JMP in teaching and research. He holds a Ph.D. in Electrical Engineering (University Bochum, Germany), and used statistical methods extensively in his research in psychoacoustics and speech communication. In later positions at Vodafone and Voxeo he developed a passion for customer advocacy, developing and supporting programmes to foster the effective use of software in business. Drawing on this experience and the success of JMP's Academic Program globally, Volker is charged with enabling teachers, faculty and students in Europe who are interested in JMP to get the most from the software.