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744-0102-00L 1 Credits WBZ D-USYS

Module 2: Macrocognition and Elicitation of Expert Knowledge

Only for CAS in Collaborative Decision Making Under Uncertainty.
VVZ CR n/a

Last Updated: 2026-02-05 15:53:44

Abstract

This is the second of nine modules for the Certificate of Advanced Studies in Collaborative Decision Making Under Uncertainty. The focus of this module is on the elicitation and use of expert knowledge for collaborative processes.

Objective

The focus of this second module is to introduce participants to the concepts of macrocognition and ways in which expert knowledge can be elicited for collaborative problem solving. The learning objectives are to: - Understand and practice using knowledge maps, influence diagrams, concept mapping and other methods for eliciting expert knowledge. - Apply methods for eliciting unknown unknowns from a group. - Identify the expertise within the group for understanding complexity. - Relate to core challenges identified from Module 1.

Resources

Literature

Includes selected readings from: Kahneman, D., & Klein, G. (2009). Conditions for intuitive expertise: A failure to disagree. American Psychologist, 64(6), 515–526. http://doi.org/10.1037/a0016755 Klein, G. A. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT press. Klein, G. A., Calderwood, R., & Macgregor, D. (1989). Critical Decision Method for Eliciting Knowledge (Vol. 19, pp. 462–472). Presented at the IEEE Transactions on Systems, Man and Cybernetics. http://doi.org/10.1109/21.31053 Crandall, B., Klein, G. A., & Hoffmann, R. R. (2006). Working Minds. Cambridge: MIT Press. Additional readings and exercises will be announced in class.

Learning Materials (Links)

General Information

Language
English
Levels
WBZ
Frequency
Yearly recurring

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Module 2: Macrocognition and Elicitation of Expert Knowledge
The lecturers will communicate the exact lesson times of ONLINE courses.
  • 16.04 Date 14:00-17:00 (ON LI NE)
  • 17.04 Date 09:00-15:00 (ON LI NE)
16 h semesterly

Offered In