Yemeni Synthetic Society

Name: Yemeni Synthetic Society
Published: 2024-08-07
License: https://creativecommons.org/licenses/by/4.0

Principal Investigator(s): View help for Principal Investigator(s) Elham Al-kholani, Inclusive Development Reseach Center, Sana'a University, Sana'a City, Yemen; Adnan AL-SANOY, Faculty of Agriculture, Food and Environment, Sana'a University, Sana'a City, Yemen; Abdualmajed Ahmed AL-KHULAIDI, Faculty of Computer and Information Technology, Sana'a University, Sana'a City, Yemen

Version: View help for Version V1

Name	File Type	Size	Last Modified
Codebooks.txt	text/plain	1.3 KB	08/07/2024 01:18:PM
Dataset of Yemeni synthetic society 2024-07-15.csv	text/csv	2.4 MB	08/07/2024 12:25:PM
README.txt	text/plain	1.4 KB	08/07/2024 01:18:PM

Project Citation:

Al-kholani, Elham, AL-SANOY, Adnan, and AL-KHULAIDI, Abdualmajed Ahmed. Yemeni Synthetic Society. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-08-07. https://doi.org/10.3886/E208373V1

Project Description

Summary: A synthetic society that replicates the characteristics of the local society can provide a valuable testing ground for the purpose of building an agent-based simulation model aimed at assessing and extrapolating the impact of Qat consumption of Yemeni society regarding to health, economy, and social aspects, as well as predicting the effects of local public policies on Qat consumption in Yemen. While synthetic society datasets are available for several countries, there is currently no synthetic society data for Yemen. This study proposes the creation of a synthetic society dataset for individuals at a detailed level in Yemen. This synthetic society was generated using a genetic algorithm based on multiple census data, several general statistical studies, and surveys on households and Qat consumption in Yemen, which include detailed or aggregated socio-demographic attributes such as age, sex, income, education level, employment status, stage of consumption, etc. We designed an efficient fitness function computation based on a hybrid distance, enabling us to incorporate over one hundred statistics and generate an artificial society comprising more than one hundred thousand artificial agents with an SRMSE of 0.231 compared to the statistics of the real society.

Scope of Project

Subject Terms: Generation; Synthetic; Society

Geographic Coverage: Yemen

Time Period(s): 1998 – 2014 (To synthesize the demographic attributes of the artificial Yemeni society and the attributes related to Qat consumption, we relied on the results from several surveys. The Qat Consumption Survey, conducted in "East, Middle, and North Africa Region. Towards Qat Demand Reduction. (2007)" covered 4,027 Yemenis aged 12 and above across seven of Yemen's 21 Governorates, representing various regions including northern, southern, coastal, highland, and desert areas. These Governorates encompass both qat production regions and areas where qat cultivation is not feasible. The survey included major urban and several rural districts in each Governorate, covering regions with longstanding qat chewing traditions as well as areas where its use is more recent. A total of 41 out of 332 districts in the country were included in the survey. The questionnaire underwent field testing in Sana'a City in April 2006, and after necessary revisions, it was launched nationwide in April and May 2006. Additionally, we utilized the Yemen Household Survey conducted in 1998, which covered 97,544 individuals, as well as the survey conducted in 2014, which involved 20,052,956 individuals. We also considered the Labor Force Survey of the Republic of Yemen, conducted on 8,407,000 individuals, to obtain attributes related to work. Other studies on smaller samples were also taken into account, such as that of "Kennedy, John G. The flower of paradise: the institutionalized use of the drug qat in North Yemen. Vol. 10. Springer Science )

Collection Date(s): 7/1/2024 – 7/31/2024 (Data generated in July 2024)

Universe: People of yemen

Data Type(s): census/enumeration data; program source code

Methodology

Collection Mode(s): other

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Published Versions

V1 [2024-08-07]

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