Using scenarios to forecast outcomes of a refugee crisis
Article
Wicke, L., Dhami, M., Onkal, D. and Belton, I. 2022. Using scenarios to forecast outcomes of a refugee crisis. International Journal of Forecasting. 38 (3), pp. 1175-1184. https://doi.org/10.1016/j.ijforecast.2019.05.017
Type | Article |
---|---|
Title | Using scenarios to forecast outcomes of a refugee crisis |
Authors | Wicke, L., Dhami, M., Onkal, D. and Belton, I. |
Abstract | The Syrian civil war has led to millions of Syrians fleeing the country, and has resulted in a humanitarian crisis. By considering how such socio-political events may unfold, scenarios can lead to informed forecasts that can be used for decision-making. We examined the relationship between scenarios and forecasts in the context of the Syrian refugee crisis. Forty Turkish students trained to use a brainstorming technique generated scenarios that might follow within six months of the Turkish government banning Syrian refugees from entering the country. Participants generated from 3-6 scenarios. Over half were rated as ‘high’ quality in terms of completeness, relevance/pertinence, plausibility, coherence, and transparency (order effects). Scenario quality was unaffected by scenario quantity. Even though no forecasts were requested, participants’ first scenarios contained from 0-17 forecasts. Mean forecast accuracy was 45% and this was unaffected by forecast quantity. Therefore, brainstorming can offer a simple and quick way of generating scenarios and forecasts that can potentially help decision-makers tackle humanitarian crises. |
Keywords | Scenario generation, forecasting, brainstorming, refugees humanitarian crisis |
Publisher | Elsevier |
Journal | International Journal of Forecasting |
ISSN | 0169-2070 |
Publication dates | |
Online | 25 Oct 2019 |
10 Jun 2022 | |
Publication process dates | |
Deposited | 06 Feb 2020 |
Accepted | 25 Oct 2019 |
Output status | Published |
Accepted author manuscript | License |
Copyright Statement | Copyright: © 2019. This author's accepted manuscript version is made available under the CC-BY-NC-ND 4.0 license. |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ijforecast.2019.05.017 |
Language | English |
https://repository.mdx.ac.uk/item/88w47
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