Foundational Research

Algorithmic Economics

Research on how algorithms shape market dynamics, pricing strategies, and economic opportunities.

Research Overview

The Algorithmic Economics research area investigates how algorithms and automated systems are reshaping economic structures, market dynamics, and financial systems. Our interdisciplinary approach combines economics, computer science, and social science to understand the implications of algorithmic decision-making in economic contexts.

We examine how algorithmic systems influence pricing strategies, market competition, labor allocation, and wealth distribution. Our research aims to develop governance frameworks that promote economic efficiency while ensuring fairness, transparency, and equitable outcomes in algorithmically-mediated markets.

Key Research Areas

Algorithmic Market Design

Analyzing how algorithmic matching systems, recommendation engines, and automated marketplaces influence market efficiency, competition, and consumer welfare.

Automated Trading Systems

Investigating the impacts of high-frequency trading algorithms, robo-advisors, and autonomous financial systems on market stability, volatility, and systemic risk.

Algorithmic Labor Platforms

Examining how algorithmic management systems in gig economy platforms and digital labor markets affect worker autonomy, income stability, and labor rights.

Distributional Economics

Studying how algorithmic systems influence wealth distribution, economic opportunity, and access to financial services across different demographic groups.

Upcoming Research Projects

Algorithmic Pricing Observatory

A monitoring system tracking algorithmic pricing practices across digital platforms to identify patterns of price discrimination, collusion, and market manipulation.

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Market Concentration Index

Developing metrics to measure how algorithmic systems contribute to market concentration and barriers to entry across different digital sectors.

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Algorithmic Labor Rights Framework

Creating governance standards for algorithmic management systems that protect worker rights, autonomy, and economic security in platform-based employment.

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Research Details

Established

2025

Get Involved

We welcome collaboration with researchers, policymakers, industry partners, and civil society organizations.