Talk:Decision analysis and risk management

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Revision as of 15:00, 8 February 2011 by Marko (talk | contribs) (Lectures related to uncertainty: new section)
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Draft synopsis

For a draft synopsis of the course, see a previous version.

Case study exercise (draft)

Imagine that the Ministry of Social and Health affairs of Finland has given you an assignment to assess the case of AH1N1 (aka swine flu) vaccinations and the sudden increase in narcolepsy among young people in Finland. Consider yourself as an expert in protecting and promoting public health. The minister expects your assessment to shed light on e.g following aspects of the issue:

  • Did something go wrong? If so, what, when, and why?
  • How could have things been done better? What, when, and why?
  • With the knowledge we have now in this situation, what could/should be done?
  • What can be learned about this case regarding possible similar urgent public health risk management situations in the future?
  • Are there any more general risk management or other lessons to learn from this case?

The case study exercise is done in two parts; the first pertaining more to decision analysis (DA), the second more to risk management (RM). The first part is group work, while the second is individual work (can also be agreed otherwise if needed).

For non-ToxEn students participating in the course it could be considered that the lectures and exercises, the DA study plan, and the Discussion and conclusions regarding RM options are worth 2 study credits each (or should it be 3, 2, and 1 respectively?). For ToxEn students all the parts of the course are obligatory.

Part one: Decision analysis study plan

group work (~3-5 people/group)

Based on the lecture and exercise contents, the materials and discussions regarding the swine flu/narcolepsy case on the course, as well as all your own expertise and opinions, work out a plan how a DA study could/should be made. The plan should address at least the following:

  1. Background description
    • purpose of the study
    • main question(s) related to the case
    • relevant actors related to the case
    • roles of different actors related to the case
    • timeline of major events
    • expected outputs and impacts of the study
  2. Decision analysis study plan
    • decisions considered
    • outcomes of interest that the decisions (are intended to) have influence on
    • the factors (variables) that link decisions to their (intended) outcomes
    • different sources of information
    • all the above at certain different timepoints along the progress of the case
      • which timepoints?
      • what knowledge emerged between different timepoints?
      • how does the model change from a timepoint to another?
    • analyses over the model and its parts

The DA study plans are intended to be worked on gradually alongside the lectures and exercises, and progress will be presented to and discussed with other students as well as lecturers in classroom a few times during the course. In the end of exercice part 1, the group will present the final plan to other students as well as lecturers in classroom. If possible, the final DA study plans will be, at least partly, executed by means of the demonstrator model that will be developed for demonstration purposes on the course. At least the possible results that could be achievable according to the plan will be discussed at the presentation of the plan. Results (actual or anticipated) are added to the plan.

(part 1 can be considered as corresponding roughly to the introduction and methods sections of a scientific article, or to the scope and definition attributes of an assessment object in open assessment)

Part two: Discussion and conclusions regarding risk management options and actions

Planned as individual work, but can also be combined as a part of the group work if so desired

Following the work done in exercise part 1, and taking account of the discussions regarding the plans by different groups in, consider what does (may) a decision analysis study tell, what can the results be used for, and how? Think that you are explaining the DA study results to the social and health minister.

  1. What does the analysis tell?
    • were the right decisions made?
    • what decisions should have been made?
    • could things have gone in a different way?
    • what implications other courses of events would have had? What would it have required?
    • is possible that such could have happened in reality?
  2. What can be concluded?
    • if anything, what went wrong? why?
    • if a somewhat similar situation occurred, what should be done?
    • if possible, what should be done in preparation?

(part 2 can be considered as corresponding roughly to the discussion and conclusions sections of a scientific article, and also to the conclusions sub-attribute of an assessment in open assessment).

Basis for evaluating the case study exercises

The main point is not to write long and detailed texts of any specific topic within this course. Instead the idea is to try to make use of what has been taught on the course by combining them in relation to a practical question. Most important issues in evaluating the exercises are:

  • general clarity of thought
  • comprehension and description of the big picture
  • meaningful connections between the aspects of the case
  • application of the knowledge and methods provided in lectures, exercises and discussions along the course
  • ability to argue for or against different statements or actions

Practical case study guidance

The DA study plans will be written in Heande, a password protected project-wiki, similar to Opasnet (this site). The writing can take place directly within Heande, or the text can be copied to Heande from external documents. However, the evaluation of the group's work will be done based only on the material on the group's Heande-page. The Heande-pages will be opened for each group, creation of user accounts, and the basics of wiki-editing will be taught in practical classroom exercises in the beginning of the course. In case of problems with Heande or just need of advice, feel free to contact the lecturers.

Also the individual discussions and conclusions regarding risk management options actions will be written and evaluated similarly in Heande.

The course participants are encouraged to actively discuss own and others work. In addition to oral classroom discussions the discussion can take place in Heande. Also the principles, tools, and practices of discussing in a wiki-system will be presented and instructed in practical classroom exercises during the course. Activity in discussing the exercise topics in Heande will be considered as a benefit in evaluating the group and individual works. Discussions may address the group's or individual's own works as well as other groups and individual works.

Suunnittelussa huomioonotettavaa

  • aikataulurajoitteet
  • tila-, väline- yms. vaatmukset
  • tilavaraukset
  • videointi, koneet, verkko?
  • DA-mallin kehikko
  • infomateriaali omatoimiseen työhön
    • case
    • käsitteistö ja teoria
  • perusasialuennot ? työnjako, suunnitelmat, tausta- ja esitysmateriaalit
  • harjoitustehtävät ? peruskäsitteistö yms. / DA-case / kyselyt kurssin kuluessa

Lectures related to uncertainty

I was briefly discussing with Jouni from the uncertainty, Monte-Carlo and Value of Information path of the lectures.

I think this “path” has three main pieces:

  • What is uncertainty, how to identify uncertainty etc. This could include all kind of issues like expert elicitation, data analysis, literature search, expert estimates, modelers estimate etc.
  • How to implement uncertainty to the calculations? Thus, how to actually combine uncertainties from different sources and/or how to create uncertainty functions. This could be divided to two different parts, Bayes and Monte-Carlo, since these two are the two most common ways of implementing uncertainty to the assessment.
  • Third phase consist sensitivity analysis and value of information. Thus, these are methods that are applied after the model is done and after the uncertainties have been implemented.

I think the basic idea of this is already included in the course structure, but we could try to make it clearer in the lecturing structure?