• 2.1 An introduction to Module 2

  • 2.1.1 Whose assessments are more valuable?

• 2.2 Calibration questions

  • 2.2.1 Questions of interest and calibration questions

• 2.3 Calibration score

  • 2.3.1 The calibration score
  • 2.3.2 Empirical probability vectors
  • 2.3.3 Kullback-Leibler divergence
  • 2.3.4 Computing calibration scores
  • 2.3.5 Summary calibration score

• 2.4 Accurate and statistical accurate predictions

  • 2.4.1 Perfect calibration score
  • 2.4.2 “Best” predictions?
  • 2.4.3 Calibration score and accuracy

• 2.5 Expert’s distributions

  • 2.5.1 How to construct experts’ distributions
  • 2.5.2 Constructing experts’ distribution functions

• 2.6 Information score

  • 2.6.1 The information score
  • 2.6.2 Computing information scores for questions
  • 2.6.3 Computing the information score for experts
  • 2.6.4 Summary information score

• 2.7 Which expert is more informative?

  • 2.7.1 Back to the watermelons

• 2.8 The calibrations score vs. the information score

  • 2.8.1 Which score do you think is more important?
  • 2.8.2 Reflection time

• 2.9 Wrap up of Module 2

  • 2.9.1 What have you learned during this module?