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Drugs and (Dis)order Spatial Borderland Biography Afghanistan, 2017-2021
Creator
Brittan, R, Alcis
Angell, M, Alcis
Study number / PID
855739 (UKDA)
10.5255/UKDA-SN-855739 (DOI)
Data access
Open
Series
Not available
Abstract
Geodatabase created to support the research by the Drugs and (dis)order project, investigating the social-political dimensions of illicit drug economies in the context of war to peace transitions in the borderlands of Afghanistan.
The geodatabase contains spatial data for the borderland areas studied on research sites, borderland locations, narcotics (opium production), borderland points of interest, drug routes, administrative boundaries, population, security events, transport and road networks, infrastructure (border barriers, cell tower locations and range, visible lights at night), agriculture, crop cycles and hydrology.Drugs & (dis)order is a Global Challenges Research Fund (GCRF) project generating new evidence on how to transform illicit drug economies into peace economies in Afghanistan, Colombia and Myanmar.
By 2030, more than 50% of the world’s poor will live in fragile and conflict-affected states. And many of today’s armed conflicts are fuelled by illicit drug economies in borderland regions. Trillions of dollars have been spent on the War on Drugs, but securitised approaches have failed. In fact, they often increase state fragility and adversely affect the health and livelihoods of communities and households. In light of these failures, there’s increasing recognition that drug policies need to be more pro-poor and aligned with the Sustainable Development Goals (SDGs). But the evidence base for this policy reform is patchy, politicised and contested.
Drugs & (dis)order is helping to generate pro-poor policy solutions to transform illicit economies into peace economies. To do this we will:
(1) Generate a robust evidence base on illicit drug economies and their effects on armed conflict, public health and livelihoods.
(2) Identify new approaches and policy solutions to build more inclusive development and sustainable livelihoods in drugs affected contexts.
(3) Build a global network of researchers and institutions in Afghanistan, Colombia, Myanmar...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/01/2017 - 31/12/2021
Country
Afghanistan
Time dimension
Not available
Analysis unit
Geographic Unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Geospatial
Data collection mode
Data layers have been sourced from existing geospatial data layers, from Open Street Map and have been created from satellite images.Information on provenance and how each data layer was created, with baseline data sources used, is included in the metadata for each layer within the geodatabase. All layers are also listed in the data register attached.
Funding information
Grant number
ES/P011543/1
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.