I taught decision science at the LSE in a unique Master’s degree course on decision science. The course focus was on helping decision-makers to think more clearly about complex issues in their organisations, and on achieving committed alignment of key players. Mathematical models help to create alignment, but always within a carefully designed social process. In 2017, the LSE's Department of Management cancelled the MSc course on the grounds that it didn't fit with the current emphasis on management theory, but retained the two core courses, behavioural decision theory and decision analysis, which remain as oversubscribed options.
Teaching outside the LSE comes in many forms. I periodically conduct bespoke in-house courses and seminars for organisations that wish to apply decision and risk science. A recent example is a three-day course for a pharmaceutical company on how to create an MCDA model of a drug's benefit-risk balance compared to a placebo . More generally, I teach a four-day course on multi-criteria decision analysis modelling and the software that is used to implement the modelling. The course provides opportunities for learning about facilitation skills and decision conferencing, using role-playing to give participants hands-on experience.
Teaching outside the LSE comes in many forms. I periodically conduct bespoke in-house courses and seminars for organisations that wish to apply decision and risk science. A recent example is a three-day course for a pharmaceutical company on how to create an MCDA model of a drug's benefit-risk balance compared to a placebo . More generally, I teach a four-day course on multi-criteria decision analysis modelling and the software that is used to implement the modelling. The course provides opportunities for learning about facilitation skills and decision conferencing, using role-playing to give participants hands-on experience.
MCDA and Facilitation Skills
This four-day course introduces multi-criteria decision analysis modelling and the software that is used toimplement the modelling. The course provides a brief introduction to the theory behind MCDA, and then a problem posed by a participant is modelled to illustrate how an MCDA model is built with commercial software first developed at the LSE. Two different examples are modelled in the course: (1) evaluating or appraising a few options against many, conflicting objectives and criteria, using the Hiview3 software, and (2) prioritising items in a limited budget to ensure best overall added value in the outcomes, with the Equity 3 software, where value is defined over any combination of a few criteria, including, if appropriate, financial value. Opportunities are provided during the course to learn facilitation and process-consultancy skills for group workshops and decision conferences.
Once-off Lectures
I give once-off presentations to organisations that wish to hear about recent developments and applications of decision science. Here are some examples:
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