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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Randy Basham
Full-Text PDF XML 500 Views
DOI:10.17265/2328-2134/2018.12.002
Affiliation(s)
University of Texas at Arlington, Texas, United States
ABSTRACT
International social work
is facing an exponentially growing number of critical challenges in developing
nations in meeting essential social needs as well as the distribution of
material goods, social and economic resources and the provision, and effective
services delivery to populations of need. There is a need to respond rapidly to
populations in need and adapt to quickly changing socio-economic conditions.
However, the resources needed to evaluate data and make effective decisions to
provide support are often limited by the availability of trained data analysts
who can interpret statistical findings and make relevant service delivery
decisions for such communities of need. Modern computing technology shows
promise of providing a graphical evaluation approach to enriching understanding
of the available information. Thereby, the need to make critical decisions is
augmented for those decision-makers that are working most closely with
marginalized groups. A recent research effort undertaken by the Adventist
Development and Relief Agency (ADRA) sought to provide administrators and
policy-makers with information regarding the associations between social
capital, economic development, and food security in the mountain region of Perú.
Survey data collection and descriptive statistical analysis were used to
provide information on the relationship between socio-economic development
services and the emergence of social capital needed to develop effective human
self-support systems. This paper demonstrates how to provide a graphical
interface between areas of economic need and development initiatives. A visual
exploration of data patterns would serve to inform human service decision-makers
as they develop policies and programs. Visualization of data helps to enrich
meaning and understanding of core areas of population need. This enhanced
information format can identify needs for social policy development and improve
the delivery of critical services and resources. This paper will
provide a conceptual argument for considering data visualization methods in the
evaluation of significant needs for, at risk, international populations. The
paper will also present a number of examples for improving data evaluation and
the understanding of need through data visualization methods through widely
available computing technology. Procedures for graphically representing data
will be demonstrated using the Perú survey, and applications for social policy
formulation will be discussed.
KEYWORDS
data visualization techniques, inform social policy, program development
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