The ENBIS 2026 conference offers a rich and engaging scientific programme, bringing together experts from academia and industry to discuss current challenges, methodological advances, and impactful applications of statistics and data science. The programme is designed to foster exchange, collaboration, and inspiration across disciplines and sectors.
ENBIS-26 Keynote Speakers
The conference will feature five keynote lectures delivered by leading experts, combining invited international speakers and distinguished ENBIS award recipients.
Invited Keynote Speakers
- Laura Maria Sangalli (Politecnico di Milano, Italy)
[Short abstract to be included soon] - Laura Maria Sangalli’s work focuses on spatial statistics and functional data analysis, with impactful applications in environmental and biomedical sciences.
- Peter Bühlmann (ETH Zürich, Switzerland)
[Short abstract to be included soon] - Peter Bühlmann is internationally recognised for his contributions to high-dimensional statistics, machine learning, and causal inference, with wide-ranging applications across science and industry.
ENBIS Award Keynote Speakers
- Bradley Jones – 2026 Box Medal
[Short abstract to be included soon]
Recognised for his outstanding contributions to the development and application of statistical methods in business and industry, particularly in design of experiments and industrial quality improvement . - Sophie Carr (Bays Consulting, England)– 2026 Best Manager Award
Sophie Carr’s keynote will explore the role of statistics and data science in addressing societal challenges, with a focus on communication, ethics, and interdisciplinary collaboration. Her work highlights the impact of statistical thinking beyond academia, particularly in industry and decision-making contexts. - Fabio Centofanti (KU Leuven, Belgium)– 2026 Young Statistician Award
[Short abstract to be included]
His work focuses on robust statistics, functional data analysis, and statistical process monitoring, addressing challenges in complex and high-dimensional data .
Titles and abstracts for all keynote lectures will be progressively announced.
ENBIS-26 Invited Sessions
A central component of the ENBIS 2026 programme is the set of invited sessions, which showcase cutting-edge developments and practical applications across a wide range of domains. These sessions bring together experts from academia, industry, and institutions, creating opportunities for exchange and discussion on both methodological advances and real-world challenges.
The programme includes sessions on:
- Statistics and Data Science in Technological Fields, addressing current challenges and innovative methodological proposals, including adaptive designs for clinical trials.
- Uncertainty Quantification and Sensitivity Analysis, with contributions on explainability, functional ANOVA, and advanced sensitivity measures.
- Data Science for Climate and Environment, focusing on predictive methods and applications in environmental and climate sciences.
- Efficient Learning for AI Models, exploring the interface between artificial intelligence and statistical methodology.
- Specialised Sessions in Metrology, Statistical Engineering, and Industrial Applications, including topics such as digital twins, machine vision systems, and reference data generation.
- Editors’ Corner and Institutional Sessions (e.g. INFORMS, ISBIS, national ENBIS groups), offering perspectives from journals, professional societies, and international initiatives.
Interactive, hands-on sessions form a particularly engaging part of the programme, providing participants with the opportunity to delve deeply into the topics and practically apply the concepts discussed:
- Teaching and Learning in Statistics, with a focus on sharing educational resources, exercises, and practical approaches.
- AI Tools for Data Science, Research, and Teaching, highlighting practical tools and emerging workflows.
Among the highlights is one of the most dynamic and immersive sessions of ENBIS-26 — ENBIS-Live: Open Problem Solving in Action!
This is no ordinary talk. In this fast-paced, high-energy session, statisticians and data scientists roll up their sleeves to tackle real-world open problems — live and on the spot. Think of it as a collaborative brain trust powered by the collective wisdom and creativity of the ENBIS community.
Here’s how it works: Got a tricky problem? Volunteer to present it in 7 minutes. Outline the background, the data science or statistical angle, and where you're stuck. Need clarity? The audience asks their burning questions. Have ideas? The floor opens to contributions, suggestions, and insights from the crowd. Wrap-up: The problem owner reflects on the input, and the session host ties it all together.
Each problem gets 20–30 minutes of focused, expert attention. We’ll feature 2–3 open problems — so come ready to think, question, suggest, and be inspired!
This year we would like to take it one step further to test how AI fares as a collaborative problem solver.
Got a challenge you'd like to throw into the ring or want to use your AI skills for one or more problems? Contact Jennifer Van Mullekom (vanmuljh@vt.edu) and be part of this one-of-a-kind problem-solving spectacle.
Bring your brains. Bring your curiosity. And let’s solve some problems — ENBIS-style!
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