Difference between revisions of "Talk:Kuopio Risk Assessment Workshop 2008"
From Testiwiki
(New section: Draft Lecture outline -- ~~~~) |
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| − | Lecture 2: Mikko | + | Lecture 2: General assessment framework (Mikko) |
| − | * purpose of | + | * purpose of assesments |
| − | * process, product and use | + | ** to describe reality (variables) |
| − | ** | + | ** to serve a specific need (assessments + variable scoping) |
| + | * properties of good assessments | ||
| + | ** quality of content, applicability, efficiency | ||
| + | * societal context of assessments | ||
| + | ** process, product and use | ||
| + | * general assessment processes | ||
| + | ** observation | ||
| + | ** information collection, manipulation and synthesis | ||
| + | ** management of assessment process | ||
| + | * universal products | ||
| + | ** assessment, variable, context, (class), causal diagram | ||
* open participation | * open participation | ||
** why open participation? | ** why open participation? | ||
| − | *** | + | *** acceptability, efficiency and relevance |
| − | ** | + | ** implications of allowing open participation |
| − | + | * other relevant related concepts | |
| − | * | + | ** [[Glossary]] |
| − | ** | ||
| − | Lecture 3: Information structure of ORA Jouni | + | Lecture 3: Information structure of ORA: object internal structure (Jouni) |
* name, scope, definition, result | * name, scope, definition, result | ||
** data, causality, unit, formula | ** data, causality, unit, formula | ||
** data connections vs. causal connections | ** data connections vs. causal connections | ||
** content, description and discussion | ** content, description and discussion | ||
| − | |||
| − | |||
| − | |||
| − | Lecture 4: Information structure: | + | Lecture 4: Information structure: relations between objects (Mikko) |
| − | + | * variable, assessment, context, (class) | |
| − | * variable, assessment, context (class | + | * presenting variables and assessments as causal diagrams |
| − | |||
| − | * | ||
| − | |||
| − | |||
| − | |||
| − | Lecture 5: Participation | + | Lecture 5: Participation in assessments (Mikko) |
* discussion, commenting and argumentation | * discussion, commenting and argumentation | ||
| − | *argumentation theory ([[:en:pragma-dialectics|pragma-dialectics]]) | + | * argumentation theory ([[:en:pragma-dialectics|pragma-dialectics]]) |
| − | *argument is always about a statement | + | * argument is always about a statement |
| − | **validity of an argument | + | ** validity of an argument |
| − | **attack | + | ** attack |
| − | **defend | + | ** defend |
| − | **signature | + | ** signature |
| − | Lecture 6: | + | Lecture 6: moderation and quality control (Jouni) |
| − | |||
* reader, contributor, moderator, board of moderators | * reader, contributor, moderator, board of moderators | ||
* different levels of protection | * different levels of protection | ||
| Line 79: | Line 79: | ||
| − | Lecture 7: Evaluating performance | + | Lecture 7: Evaluating assessment performance (Mikko) |
| − | |||
* properties of good RA | * properties of good RA | ||
| − | ** | + | ** quality of content |
| − | **applicability | + | ** applicability |
| − | **efficiency | + | ** efficiency |
* relations between properties and information structure | * relations between properties and information structure | ||
| + | * evaluation as an inherent part of the process | ||
| + | |||
| − | Lecture 8: | + | Lecture 8: Addressing uncertainties (Jouni) |
* probabilistic (real) uncertainties: informativeness, calibration about result | * probabilistic (real) uncertainties: informativeness, calibration about result | ||
* model "uncertainties": about definition | * model "uncertainties": about definition | ||
* relevance: about scope | * relevance: about scope | ||
* variability vs uncertainty | * variability vs uncertainty | ||
Revision as of 08:53, 7 February 2008
Post your questions and comments here
If you have any questions and or comments regarding anything related to the workshop, please post them here and we will try to sort them out. -- Mikko Pohjola 10:10, 5 February 2008 (EET)
Draft Lecture outline -- Jouni 16:19, 6 February 2008 (EET)
Lecture 1: Introduction to Open Risk Assessment (ORA) Jouni
- Forget everything you knew about risk assessment
- During this week, we will describe a new approach to risk assessment. It has new developments from the theoretical foundation all the way to practical computer tools.
- a new ontological foundation
- strictly object-oriented approach
- a new structure for objects
- traditional methods for processing information, but organised in a more systematic way
- tools that enable open collaboration
- data sources that are directly available and applicable
- ORA is about information processing. The information is about the real world.
- It is practical to describe the ORA work as processes, and the information as products.
- General processes: observation, info collection, synthesis, management
- A major aim of the system is to make the work systematic, reuse existing pieces of information, and save time and resources.
- What is the most efficient way of doing ORA?
- Practical way: short discussions only; all questions put into wiki and answered by the following day.
- critical scientific disciplines you should be aware of
- decision analysis
- probability theory
- graph theory
- pragma-dialectics argumentation theory
Lecture 2: General assessment framework (Mikko)
- purpose of assesments
- to describe reality (variables)
- to serve a specific need (assessments + variable scoping)
- properties of good assessments
- quality of content, applicability, efficiency
- societal context of assessments
- process, product and use
- general assessment processes
- observation
- information collection, manipulation and synthesis
- management of assessment process
- universal products
- assessment, variable, context, (class), causal diagram
- open participation
- why open participation?
- acceptability, efficiency and relevance
- implications of allowing open participation
- why open participation?
- other relevant related concepts
Lecture 3: Information structure of ORA: object internal structure (Jouni)
- name, scope, definition, result
- data, causality, unit, formula
- data connections vs. causal connections
- content, description and discussion
Lecture 4: Information structure: relations between objects (Mikko)
- variable, assessment, context, (class)
- presenting variables and assessments as causal diagrams
Lecture 5: Participation in assessments (Mikko)
- discussion, commenting and argumentation
- argumentation theory (pragma-dialectics)
- argument is always about a statement
- validity of an argument
- attack
- defend
- signature
Lecture 6: moderation and quality control (Jouni)
- reader, contributor, moderator, board of moderators
- different levels of protection
- openly available page
- page closed; discussion available
- discussion managed by moderator, contributions via nuggets
Lecture 7: Evaluating assessment performance (Mikko)
- properties of good RA
- quality of content
- applicability
- efficiency
- relations between properties and information structure
- evaluation as an inherent part of the process
Lecture 8: Addressing uncertainties (Jouni)
- probabilistic (real) uncertainties: informativeness, calibration about result
- model "uncertainties": about definition
- relevance: about scope
- variability vs uncertainty
