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
https://issuu.com/marketing-web/docs/67161_inspire_issuu/26 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.