Tom McDermott
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Tom McDermott has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Adrian Unger
Georgia Institute of Technology Atlanta GA 30332 (USA)
1 shared publication - Dennis J. Folds
Lowell Scientific Enterprises Carrollton GA 30116 USA
1 shared publication - Dylan Shean
Georgia Institute of Technology Atlanta GA 30332 (USA)
1 shared publication - Fabio G da Silva
Georgia Institute of Technology Atlanta GA 30332 (USA)
1 shared publication - Jennifer Nguyen
Georgia Institute of Technology Atlanta GA 30332 (USA)
1 shared publication - Laura B Beebe
Georgia Institute of Technology Atlanta GA 30332 (USA)
1 shared publication
Latest Publications
- 1 July 2020
- Published by Wiley in INCOSE International Symposium
- Vol. 30 (1) , 620-636
Distributed Architecture for Monitoring Urban Air Quality: A Systems Engineering Approach
- 1 July 2020
- Published by Wiley in INCOSE International Symposium
- Vol. 30 (1) , 620-636
Distributed Architecture for Monitoring Urban Air Quality: A Systems Engineering Approach
- 1 July 2020
- Published by Wiley in INCOSE International Symposium
- Vol. 30 (1) , 257-271
Addressing Cognitive Bias in Systems Engineering Teams
Cognitive bias is a general issue in human decision making. It is easy to assume there is less bias in engineering, systems engineering, and program management, as these are generally considered rational processes. However, human decision making is almost always affected by bias. In the systems engineering practice as well as training systems engineers, we find directly addressing principles of human cognition, decision‐making, and bias to be an important part of individual and team learning. In the context of systems engineering competencies, these principles are core to mastery of systems and critical thinking, facilitation, and team dynamics. This paper discusses the characteristics of thinking, cognition, and decision‐making; conceptual approaches in psychology that frame these characteristics in the context of human decisions; common biases that affect decisions in the domain of systems engineering; and application of systems thinking tools to help overcome these issues.
- 1 July 2020
- Published by Wiley in INCOSE International Symposium
- Vol. 30 (1) , 257-271
Addressing Cognitive Bias in Systems Engineering Teams
Cognitive bias is a general issue in human decision making. It is easy to assume there is less bias in engineering, systems engineering, and program management, as these are generally considered rational processes. However, human decision making is almost always affected by bias. In the systems engineering practice as well as training systems engineers, we find directly addressing principles of human cognition, decision‐making, and bias to be an important part of individual and team learning. In the context of systems engineering competencies, these principles are core to mastery of systems and critical thinking, facilitation, and team dynamics. This paper discusses the characteristics of thinking, cognition, and decision‐making; conceptual approaches in psychology that frame these characteristics in the context of human decisions; common biases that affect decisions in the domain of systems engineering; and application of systems thinking tools to help overcome these issues.