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Integrated Uncertainty in Knowledge Modelling and Decision Making IUEM 2022 18 20, March, 2022REGISTRATION FORM (Registration only with online access to proceedings) Please send this form by email
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01
Identify the sources of uncertainty in the knowledge being integrated
02
Determine the level of certainty associated with each source of uncertainty
03
Consider the impact of each source of uncertainty on the overall knowledge being integrated
04
Document the uncertainties and their impacts in a structured manner
05
Use appropriate methods and tools to address and communicate the integrated uncertainty in knowledge

Who needs integrated uncertainty in knowledge?

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Researchers who are integrating knowledge from multiple sources
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Decision-makers who need to consider uncertainty in their decision-making process
03
Policy makers who rely on integrated knowledge to develop policies
04
Scientists working on complex interdisciplinary projects
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Integrated uncertainty in knowledge refers to the inclusion of uncertainties and potential errors in the knowledge or information being shared.
All individuals or organizations involved in sharing knowledge or information are required to file integrated uncertainty in knowledge.
Integrated uncertainty in knowledge can be filled out by identifying potential uncertainties and errors in the information being shared and providing detailed explanations or disclaimers.
The purpose of integrated uncertainty in knowledge is to increase transparency and accountability by acknowledging potential errors or uncertainties in the information being shared.
Integrated uncertainty in knowledge requires reporting on potential uncertainties, errors, and limitations in the knowledge or information being communicated.
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