14 - 18 September 2026
White City Campus, 911今日黑料
Each day begins with lectures introducing theoretical concepts, followed by a seminar and a practical session to illustrate these concepts.
Learning outcomes
After Exposome Analytics, students will be:
- familiar with the concepts and challenges of the analysis of both external and internal exposome data
- able to implement integrative analysis of high-dimensional (blocks of) exposome data
- able to develop rigorous and reproducible research in the field of exposome analytics
- able to produce and interpret visualisations of results
- able to adopt a causal approach to analyse exposome data and charcaterise potential embodiement of external exposures.
Who would benefit
Exposome Analytics is designed for academics (students and researchers) and industry scientists (pharmaceuticals, insurance, food industries) with experience in analysing large and complex data sets. Ideal candidates include researchers seeking to deepen their knowledge in data analysis and integration for exposome research. Proficiency in basic statistics and R statistical software is desirable.
Participants should bring their own laptops.
There is space for 40 participants.
Scientific programme
The Scientific Programme will be provided at a later date.
Course fees
£1300 for IHEN members and Exposome projects
£1500 academics
£2000 Private