Peash Saha (Computing) – Improving Efficiency of Societal Services for the Vulnerable through Algorithmic Approach

A social choice represents the collective decision of the individuals based on their preferences over the alternatives. There are societal services operated by governmental or non-governmental organizations which implement a social choice model. For example, the allocation of shelters to homeless individuals considers both the preferences of homeless individuals and the shelters. However, the preferences of such vulnerable populations may not be as structured as required in the system for them to receive an effective service. Peash’s research focus is on building a unified preference system to reflect the unconventionality in the natural preferences of the vulnerable attempting to access such services. The novel fairness criteria are defined as an end goal of such allocation of services to improve the service for more individuals and broader communities. Peash designs algorithmic solutions to satisfy such fairness requirements on unified preference models. The research outcome has the potential to improve the operational efficiency of ongoing societal services by providing services to more individuals as required. For upcoming interviews check out the Grad Chat webpage on Queen’s University School of Graduate Studies & Postdoctoral Affairs website – https://www.queensu.ca/grad-postdoc/research/share/grad-chat