Engineer & Researcher · Fair AI for Public Systems
SARAL — Algorithmic Welfare Triage
An operator-facing decision-support probe developed to examine how human discretion and rule-based recommendations interact in welfare access settings. The system is archived as a field-deployed prototype and design reference.
Project Nagrik — Exploratory Fieldwork
An exploratory field project across Maharashtra documenting reported experiences of welfare access, digital exclusion, administrative gatekeeping, and institutional trust. The material is presented descriptively and informed the early motivation for SARAL.
I am Parth Mody, an engineer and independent researcher focused on how AI, data science, and institutional design interact within public systems. My work examines how human decision-makers respond to algorithmic recommendations, with a particular interest in administrative discretion, welfare systems, and algorithmic governance.
I combine computational methods, field research, and experimental design to study the interaction between algorithmic decision support and contextual information. My recent work includes SARAL, an operator-facing decision-support system and experimental research platform that examines how contextual signals influence reliance on algorithmic recommendations in welfare eligibility decisions, and Project Nagrik, an exploratory field study on welfare access, digital exclusion, and institutional trust in India.
I am currently completing a Master of Data Science & Decisions at UNSW Sydney. Previously, I earned a Bachelor of Technology in Computer Engineering from NMIMS Mukesh Patel School of Technology Management & Engineering (MPSTME). My current research interests lie at the intersection of algorithmic governance, human-AI decision-making, computational social science, and public-sector technology.