Bridging the gap between computational logic and human behavior.

I am a Professor of Computational Sociology and Director of the Algorithmic Ethics Lab. My research explores how large-scale data systems influence social stratification and community resilience in urban environments.

Currently, I am investigating the long-term impacts of predictive policing algorithms on neighborhood cohesion. My work aims to provide policymakers with data-driven frameworks for more equitable technological governance.

Professor Elena Vance

Photo: University Press, 2023

Selected
Publications

Algorithmic Bias in Municipal Resource Allocation

Journal of Social Computing, Vol 14, Issue 3 • October 2023

A quantitative analysis of how automated resource distribution systems in three major metropolitan areas inadvertently reinforce historical redlining boundaries.

The Silent Observer: Surveillance and Public Trust

American Sociological Review, Vol 88 • February 2022

Examining the correlation between visible surveillance infrastructure and reported levels of institutional trust among diverse community demographics.

Data Deserts: The Cost of Digital Exclusion

Oxford University Press • Monograph, 2021

Current
Teaching

This seminar investigates the social implications of algorithmic decision-making. We will cover topics ranging from bias in machine learning models to the philosophy of artificial intelligence.

Download Syllabus (PDF)

An introductory course designed to equip students with the ethical frameworks necessary to navigate a data-saturated world. Focus on privacy, consent, and digital ownership.

Download Syllabus (PDF)