Dr. Ross Gore

Dr. Ross Gore

I am Research Associate Professor at Old Dominion University My work focuses on data science and predictive analytics. I am is passionate about extracting useful information from new and diverse data sources to help inform decision making.

Agent-based modelling of values: The case of value sensitive design for refugee logistics

Published in Journal of Artificial Societies and Social Simulation, 2020

We have used value sensitive design as a method to develop an agent-based model of values in humanitarian logistics for refugees. Schwartz’s theory of universal values is implemented in the model in such a way that agents can make value trade-offs, which are operationalized into a measure of refugee wellbeing and a measure of public opinion about how the refugee logistics is being handled. By trying out different ‘value-scenarios’, stakeholders who are responsible for, or involved in refugee logistics can have insights into the effects of various value choices. The model is visualized and made usable as a platform (interactive website) for decision-makers to understand the trade-offs in policies for government and non-government organizations.

Recommended citation: Boshuijzen-van Burken, Christine; Gore, Ross; Dignum, FPM; Royakkers, Lamber; Wozny, Phillip; Shults, F LeRon. (2020). "Agent-based modelling of values: The case of value sensitive design for refugee logistics." Journal of Artificial Societies and Social Simulation. 23(4), 6.
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