Cyber security data restrictions, e.g. due to fear of bad publicity, hinder systematic investigation of information security issues. We argue that group model building is a promising method to help mitigate such restrictions: 1) Models emerge from even incomplete and inaccurate data; 2) group model building helps develop a trustful relationship between data owners (clients) and modelers; 3) the iterative nature of group model building leads to increasingly structurally richer and more useful models, thus boosting further client interest and trust. We describe our experiences using a case for the transition to eOperations in the oil and gas industry. We analyze the outcome of two group model building workshops, the follow-up meetings and interview. We show the trajectory for how we gain access to data, how we developed and improve a model, what insights the client learned, and more important, how we build up trust with the client during this process.

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Date created

• 2006 July 23-2006 July 27

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

32937c7b43e3e015509bb71fd40d2054

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Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Part of

f9377a3ac7b50b1fca5e04fb6d679ec2

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives