Picture of boy being examining by doctor at a tuberculosis sanatorium

Understanding our future through Open Access research about our past...

Strathprints makes available scholarly Open Access content by researchers in the Centre for the Social History of Health & Healthcare (CSHHH), based within the School of Humanities, and considered Scotland's leading centre for the history of health and medicine.

Research at CSHHH explores the modern world since 1800 in locations as diverse as the UK, Asia, Africa, North America, and Europe. Areas of specialism include contraception and sexuality; family health and medical services; occupational health and medicine; disability; the history of psychiatry; conflict and warfare; and, drugs, pharmaceuticals and intoxicants.

Explore the Open Access research of the Centre for the Social History of Health and Healthcare. Or explore all of Strathclyde's Open Access research...

Image: Heart of England NHS Foundation Trust. Wellcome Collection - CC-BY.

Use of expert knowledge to anticipate the future : issues, analysis and directions

Bolger, Fergus and Wright, George (2016) Use of expert knowledge to anticipate the future : issues, analysis and directions. International Journal of Forecasting. pp. 1-28. ISSN 0169-2070 (In Press)

[img]
Preview
Text (Bolger-Wright-IJF-2016-Use-of-expert-knowledge-to-anticipate-the-future)
Bolger_Wright_IJF_2016_Use_of_expert_knowledge_to_anticipate_the_future.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (675kB) | Preview

Abstract

Unless the anticipation problem is routine and short-term, and objective data are plentiful, expert judgment will be needed. Risk assessment is analogous to anticipation of the future in that models need to be developed and applied to data. Since objective data are often scanty, expert knowledge elicitation (EKE) techniques have been developed for risk assessment that allow model development and parametrization using expert judgments with minimal cognitive and social biases. Here, we conceptualize how EKE can be developed and applied to support anticipation of the future. Accordingly, we first define EKE as an entire process, that involves considering experts as a source of data, and that comprises various methods for ensuring the quality of this data, including – selecting the best experts, training experts in normative aspects of anticipation, and combining judgments of several experts – as well as eliciting unbiased estimates and constructs from experts. We detail aspects of the papers that constitute the Special Issue and analyse these in terms of the stages within the EKE future-anticipation process that they address. We identify the remaining gaps in our knowledge. Our conceptualization of EKE to support anticipation of the future is compared and contrasted with the extant research effort into judgmental forecasting.