Megan Crawford
megan crawford

Dr Megan Crawford

Lecturer

 0131 455 4605

  M.Crawford@napier.ac.uk

   

Biography

I work in Data Science and Scenario Planning. My research looks into how individuals and organisations frame and make decisions about the future (biases), structured group techniques (optimisation), and strategy development (impact), with a specialisation in AI integration. My work takes behavioural and complexity science approaches that aim at advancing the UN Sustainable Development Goals. I earned my PhD in Management Science at the University of Strathclyde, MSc in Behavioural & Economic Sciences at Warwick University, and joint BAs in Cognitive Psychology and Philosophy from Texas A&M University-Corpus Christi.

I am Principal Investigator of research lab, Futures and Analytics Research (FAR) Hub, and Deputy Lead of Enterprise Data Intelligence & Analytics in the Business School's newest research centre, Centre for Business Innovations and Sustainable Solutions (CBISS). In 2023, our team secured membership to the prestigious Turing University Network, part of the Alan Turing Institute (the UK's National Institute for AI and Data Science), where I serve as Turing Academic Liaison for the Business School.

Open to doctoral supervision.

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6 results

The value of mass-produced COVID-19 scenarios: A quality evaluation of development processes and scenario content

Journal Article
Crawford, M., & Wright, G. (2022)
The value of mass-produced COVID-19 scenarios: A quality evaluation of development processes and scenario content. Technological Forecasting and Social Change, 183, Article 121937. https://doi.org/10.1016/j.techfore.2022.121937
Hundreds of scenarios were developed across the world in the first six months of 2020, aimed at generating forward-looking conversations, better understanding COVID-19 transmi...

Structured Groups Make More Accurate Veracity Judgments Than Individuals

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 investig...

Delphi with feedback of rationales: How large can a Delphi group be such that participants are not overloaded, de-motivated, or disengaged?

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, 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 pro...

A comprehensive scenario intervention typology

Journal Article
Crawford, M. M. (2019)
A comprehensive scenario intervention typology. Technological Forecasting and Social Change, 149, https://doi.org/10.1016/j.techfore.2019.119748
Scenario planning, as a recognised organisational intervention, has steadily grown in popularity since the mid-20th century. To date, there are arguably as many methods and te...

Using orthographic neighborhood size manipulations to investigate memory deficits in aging memory

Journal Article
Glanc, G. A., Logan, J. M., Grime, M., Anuwe, A., & Thompson, J. (2016)
Using orthographic neighborhood size manipulations to investigate memory deficits in aging memory. Cogent Psychology, 3(1), https://doi.org/10.1080/23311908.2016.1220445
In three previous studies, manipulations of orthographic neighborhood size and orienting task were used to differentiate between item-specific and rela-tional processing in yo...

Delphi Method

Other
Grime, M. M., & Wright, G. (2016)
Delphi Method. https://doi.org/10.1002/9781118445112.stat07879
This article lays out the basic structure of the Delphi method, along with common modifications, and recently developed mixed-model forecasting techniques.Delphi offers a basi...