The SnB program consists not only of invited and contributed plenary sessions, but also pre-conference courses, poster session and many opportunities to network. SnB offers a great opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration.

Check back soon for a description of pre-conference courses and to get the full SnB program. Meanwhile please find below the scientific topics that will be adressed:

  • Adaptative trials: from Bayesian approaches to reinforcement learning
  • Open, replicable, understandable science
  • Regulatory point of view
  • The data in the data science: integrating heterogeneous data & generating
    synthetic data
  • Causality, causal inference beyond randomization
  • Flexible modelling, model uncertainty, model specifications
  • High dimensional data
  • Lessons learned from Covid19, Accelerated drug development