EAAMO’25 Local | Oxford · EAAMO Conference 2025

Table of Contents

Date: 5–7 November 2025
Location: Linacre College, Oxford

About #

EAAMO ’25 | OXFORD Local brings together researchers from computer science, economics, and the wider social sciences to tackle issues around social good. We believe now is a pivotal moment to reflect on how these disciplines can come together—not least to assess the risks, as well as the opportunities, that AI (and digitisation) brings to this space.

The event will be held alongside the fifth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'25) at the University of Pittsburgh, USA.

As part of the EAAMO‑REDNACECYT Summer of Science 2025, our event will also host indigenous researchers from Latin America. In addition to presenting their work in Oxford, they will also take part in a series of seminars, workshops, and activities in an event in London (8–9 November).

Registration #

Please register by 19 October to help us plan the event. Registration is free.

Important dates #

Early bird submissions by 26 September AoE will be notified by 30 September AoE.
Submission deadline: 5 October AoE.
Submission notification: 12 October AoE.
Registration deadline: 19 October AoE.

If you are a late bird, email us at oxfordlocal@eaamo.org.

Call for Submissions #

We invite submissions that advance access to opportunity for historically underserved and disadvantaged communities while addressing inequitable or unsafe outcomes.

We also accept submissions that have been published elsewhere or that are also being presented at EAAMO’25 (by a co-author).

Submit your work

Topics of interest include #

Machine learning, optimization, and mechanism design approaches to reducing social and economic inefficiencies and unsafe outcomes
Ethical, economic, legal, philosophical, and societal considerations of algorithmically driven systems
Redistributive mechanisms aimed at improving access and achieving equitable outcomes
Micro‑ and macroeconomic impacts of inequality and market inefficiencies
Causal factors of harm, such as exploitative or biased behaviors, market failures, and overall inequities
Uncertainty, safety, privacy, and fairness in allocation and representation systems
Algorithmic and societal challenges in resource‑constrained computing environments
Trustworthy and valid inference in socially consequential domains
Data governance: collection, curation, protection, sharing, and transparency for research on access and equity
Community empowerment tools: algorithmic methods that encourage participation and collective action for the common good
Policy and regulatory design related to data, privacy, fairness, equity, and access to opportunity

Application domains of interest include (among others): civic participation, data economies, discrimination and bias, digital/economic inequalities, economic development, education, environment & climate, food security, healthcare, housing, infrastructure, labor markets, law & policy, low‑ and under‑resourced computing, social and economic mobility, privacy, public services, recommender systems, social work, sustainable development, and transportation.

Submission types may include #

Research papers
Surveys
Position papers
Problem‑ or practice‑driven contributions
Workshops (1h)

We welcome work from academics and practitioners across diverse disciplines and sectors. The reviewing process will be single‑blind and single phase (without rebuttal). The reviewers will also choose a prize winner among all submissions.

Submit your work