Decision analysis and risk management

From Opasnet
Jump to navigation Jump to search



Decision analysis and risk management is a university course [1] for Master's Degree Programme in General Toxicology and Environmental Health Risk Assessment ToxEn.

Scope

What is such a good course content about decision analysis and risk management that

Result

Name
Decision analysis and risk management          
ECTS-credits
6
Abbreviation
DARM     

Content

Schedule and contents of the course.
Changes are likely especially in the content, but the dates presented here are more or less fixed.
Date Hours Lecturer Theory lectures and exercises Case study discussions and exercises
28.2. AM (10-13) 3 Jouni, Mikko Practical introduction to course.
  • Objectives, aims, expectations.
  • Content and teaching/study methods.
Introduction to the case study and exercises
  • swine flu vaccination campaign in Finland: effects and side effects?
  • group work: decision analysis study plan
  • individual work: reflections on risk management options and actions
3.3. AM, PM 6 Jouni, Mikko, Marko Introduction to Risk management (theory). What is managed, who is responsible, what is included? Traditional paradigm.
  • Look from decision-maker's point of view: needs, communication, and assessment all included.
  • Openness: RA, RM, RC are not totally separate.
  • Performance: Context about what we actually aim to achieve. How do we know if we succeeded?
  • Developing risk management options.
  • Development of risk assessment questions.
  • Science-policy interface. Why it does not exist.
Beginning of the swine flu story: How the swine flu problem emerged (spring 2009) and spread in the world.
4.3. AM, PM 6 Jouni, Mikko, Marko Opasnet training
  • reading and browsing
  • modes of contribution
  • user accounts / logging in
  • basic editing
  • commenting and discussing content
Swine flu story (summer 2009): Preparedness in Finland and internationally. Vaccination campaigns, counter-campaigns.
  • Should we launch a vaccination campaign?
  • Should I take vaccination? Should I not take vaccination?

Exercise part one begins: make a decision analysis study plan to find out good policies in this case. Which models to use, what to assess?

8.3. AM 3 Jouni Decision analysis: introduction
  • Purpose of assessment: Why it is done
  • Concepts: decisions, objectives, optimization, uncertainty, decision trees

Subjective probabilities

  • Practical exercise
  • Bayesian rule and Bayesian networks.
  • Denis Lindley: Philosophy of probabilities
9.3. AM or PM 3 Jouni 'Decision analysis (continued). Swine flu case as a decision problem: what are the relevant decisions, outcomes and questions in the case?
10.3. AM or PM 3 Jouni Bayesian updating Swine flu story (autumn - winter 2009): First deaths of swine flu (threat was real). Problems with implementation: long queues in health centers. Clear-cut case falls apart. False alarm? Disease was milder than thought.
11.3. AM 3 Jouni Calculation exercise of Bayes
16.3. AM 3 Marko Monte Carlo modeling
17.3. PM 3 Marko Calculation exercise. Connections to use of knowledge.
18.3. PM 3 Jouni Overall view of different models: Producing result from rationale. First drafts of DA study plans. Brief presentations of and discussions about DA study plan drafts.
21.3. AM 3 Jouni Decision making under uncertainty
  • Assessment performance? Quality of evidence? Impacts of uncertainty in decision-making. Hindsight.
  • Use of adjuvants. How similar is the same? Can/Should be aim at zero risk? Benefit-risk comparisons.
  • Acceptability
  • Value of information
  • Analysis of model inputs, outputs, and structure
22.3. AM or PM 3 Jouni, Marko Decision-making under uncertainty (continued). Value of information.
25.3. AM or PM 3 Marko VOI calculation exercise.
29.3. AM or PM 3 Mikko? Full drafts of DA study plans. Presentations of and discussions about study plans. Apply the model to assess the case based on your own research plan. Defend your plan in plenary.
  • Are plans executable? What outputs are expected? Do they serve the intended needs?
  • What should the model do? How should the results be used?
  • The core of a model can go through technical check: does it work?
  • The assessment should link to the outside world: does it produce useful info, is it convincing to users?
30.3. AM or PM 3 Mikko? Trialogue, collective learning Swine flu story: Secret connections to drug industry? Narcolepsy.

Exercise part two begins: Risk management actions and options.

31.3. AM or PM 3 Jouni, Mikko? Inference rules. Scientific method as open discussion. Falsification.
  • Do we need pre-peer-review?

Opasnet and other web tools for risk assessment.

1.4. AM or PM 3 Jouni, Mikko? How methods learned should be applied now? Why openness is needed? Swine flu story (autumn 2010): Vaccination campaign halted. THL remains silent about possible risks. Narcolepsy analysis. Impacts of openness
7.4. PM 3 Jouni, Mikko? Discussion: Lectures of concepts

Structuring of discussions in practice and theory

  • Ready-made texts: discussions and organisation
  • Homework: evaluate relevance - validity of arguments. Discuss in groups the next day.
  • Build a structured discussion out of this in groups.
  • Possibly utilise group writing tools?
Swine flu story (January 2011): Publishing of narcolepsy results and apologies. Searching for the guilty.
8.4. AM or PM 3 Jouni, Mikko
11.4. AM 3 Jouni, Mikko
12.4. AM 3 Jouni, Mikko Final seminar, course feedback. Presentations, discussions, and summary.
Teaching 69 Includes lectures, discussions, and calculation exercises.
Group work, individual work 100
Total hours 169

For slightly more detailed descriptions, see D↷


Learning outcomes
The student will learn about the fundaments of decision analysis; and the connections between societal decision-making and risk assessment. He is able to apply the scientific method and falsification in the context of risk assessment. He also knows how to build an assessment based on the requirements of risk management.     
Learning material
Online course readings in Opasnet: http://en.opasnet.org
Degree Programme(s)
ToxEn, Environment health risk assessment     

Implementation

Time
Spring 2011     

Teaching / Learning Methods

  • Lectures 36 h
  • Tutorial 0 h
  • One-to-One Teaching 0 h
  • Group Work 30 h
  • Independent Study 96 h
  • Web-Based Learning 30 %
Additional Information on Teaching / Learning Methods
Group work is in computer class.     
Teaching Languages
English
Additional Information on Languages
Offered for Students in Other Universities (JOO-opintoja)
YES

ASSESSMENT

Assessment is Based on
  • Written Examination
  • Project
Additional Information
The project will be a practical participation in a risk assessment in Opasnet.          
Assessment
0 (Fail) – 5 (Excellent)
Additional Information

     

Prerequisites

     

Contacts

Organising Departments
Department of environmental science (in collaboration with the National Institute for Health and Welfare)          
Course Director
Jukka Juutilainen     
Teachers
Jouni Tuomisto, Mikko Pohjola, Marko Tainio     
Contact Persons
mikko.pohjola(at)thl.fi     
Registration for the Course
Wossikka     

Further information

Keywords
Risk assessment, decision analysis, Bayesian theory, open assessment, risk management, societal decision making.     
Further Information

Rationale

Background information from other available Risk assessment study programs are provided here: Decision analysis and risk management - background information

Other relevant courses than may have supporting, similar, or overlapping content.

See also discussions about the course content. D↷

See also


Courses and course material on different topics related to risk assessment, decision analysis, and risk management.

Statistics

Exposure

Toxicology

Epidemiology and public health

Risk characterisation

Risk management

Risk and impact assessment

Decision analysis and economy

Open assessment

Miscellaneous

Related further education courses

Possible further education course on the topics of this course to be held under the ERACedu risk analysis training program are e.g.:

  1. "Mini-DARM" (5.-6.5.2011?)
    • a case-study exercise-driven introduction to the fundamentals of decision analysis and risk management
  2. Decision making under uncertainty (19.20.5.2011?)
    • decision modeling and analysis
  3. Discussion in decision making: methods and tools (8.-9.9.2011?)
    • How to manage effective citizen hearings?
  4. Collective learning (29.-30.9.2011?)
    • Participatory assessment and modeling

References


Related files

<mfanonymousfilelist></mfanonymousfilelist>