Decision Science in operational RISK Information Management

From Data to Decisions ….  and then back

Arguments for more r&D in Decision Analytics
By Gilberto Montibeller

INSPIRE Loughborough University School of Business and Economics Bi-Annual Magazine    No. 12      pages 14/15

and other short statements, e.g. on

  • Choice Analytics
  • Facilitated Decision Modelling
  • Forecasting under Uncertainty
  • Information Overload – and Mental Health
  • Pattern Predictions

All these topics are elements of RISK Information Management approaches needed in operational practice.

I have always favoured the idea of checking if in a certain task the current actors can adequately find the solution or should other professions (in this case: Management professionals) should be invited to join for improved results.

Horst Kremers