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Outputs (6)

Structured Groups Make More Accurate Veracity Judgments Than Individuals (2021)
Journal Article
Hamlin, I., Bolger, F., Vasilichi, A., Belton, I., Crawford, M. M., Sissons, A., …Wright, G. (2021). Structured Groups Make More Accurate Veracity Judgments Than Individuals. Applied Cognitive Psychology, 35(6), 1600-1607. https://doi.org/10.1002/acp.3892

Groups often make better judgments than individuals, and recent research suggests that this phenomenon extends to the deception detection domain. The present research investigated whether the influence of groups enhances the accuracy of judgments, an... Read More about Structured Groups Make More Accurate Veracity Judgments Than Individuals.

A comprehensive scenario intervention typology (2021)
Presentation / Conference
Crawford, M. (2021, September). A comprehensive scenario intervention typology. Presented at YouTube series: Futures and Foresight Papers Explained, Online

Megan Crawford, presents her 2020 paper, "A comprehensive scenario intervention typology" published in Technological Forecasting and Social Change. Megan talks about how the paper was sparked by a need for clearer directions in scenario planning impl... Read More about A comprehensive scenario intervention typology.

Futures and Analytics Research (FAR) Hub (2021)
Presentation / Conference
Crawford, M., & Smith, M. (2021, September). Futures and Analytics Research (FAR) Hub. Paper presented at OR63 Online: Creating a better future, Online

Our team would like to present our recent development of an inclusive online learning centre for students and faculty, as a call to action, post-pandemic. The FAR Hub is an online resource for teaching, skill building, and knowledge exchange, with a... Read More about Futures and Analytics Research (FAR) Hub.

Delphi with feedback of rationales: How large can a Delphi group be such that participants are not overloaded, de-motivated, or disengaged? (2021)
Journal Article
Belton, I., Wright, G., Sissons, A., Bolger, F., Crawford, M. M., Hamlin, I., …Vasilichi, A. (2021). Delphi with feedback of rationales: How large can a Delphi group be such that participants are not overloaded, de-motivated, or disengaged?. Technological Forecasting and Social Change, 170, Article 120897. https://doi.org/10.1016/j.techfore.2021.120897

In this paper, we investigate the effect of Delphi group size and opinion diversity on group members’ information load as well as on their overall experience of the Delphi process - in terms of task involvement (enjoyment and interest) and in terms o... Read More about Delphi with feedback of rationales: How large can a Delphi group be such that participants are not overloaded, de-motivated, or disengaged?.

Mass-Produced COVID-19 Scenarios (2021)
Presentation / Conference
Crawford, M., & Wright, G. (2021, June). Mass-Produced COVID-19 Scenarios. Paper presented at Regions in Recovery: Building Sustainable Futures – Global E-Festival, Online