Call for Posters

The Sixth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (ACM EAAMO ’26) will take place November 5–7, 2026, at Ludwig-Maximilians-Universität München in Munich, Germany.

We hereby invite submissions to the Work-in-Progress Poster Session.

Work-in-Progress Poster Session #

We invite submissions presenting early-stage, ongoing, or recently completed research and practice-driven work of interest to the EAAMO community.

• Authors are required to provide a title and abstract through the submission form.
• Submission of a full paper is optional but encouraged.
• Reviews will focus primarily on alignment with the mission of EAAMO and the work’s likely interest to conference participants.
• At least one author of each accepted poster must register for the conference and present the work.

Please note that poster presentations do not constitute an accepted paper and remain fully compatible with future submission of the work to peer-reviewed venues. Accepted submissions will not be published in the ACM conference proceedings. This session will be separated from the Highlighted Posters session associated with accepted papers.

Submission link: https://forms.gle/fXMcu9tu9cNRmPjb9

Submission deadline: September 7, 2026, Anywhere on Earth

Author notification: October 1, 2026

Areas of Interest #

We invite submissions on topics, methodologies, and approaches including, but not limited to:

• ethical, economic, legal, philosophical, and societal considerations of algorithmically-driven interventions
• redistributive mechanisms for improving access to opportunity and equitable outcomes
• micro- and macroeconomic consequences of inequality and market inefficiencies
• determinants and causes of harm, including inequitable outcomes, market failures, exploitative behavior, and economic inefficiencies
• machine learning, optimization, and mechanism design for alleviating inefficiencies, inequitable, and unsafe economic and social outcomes
• human-AI interaction for improving accessibility and outcomes
• AI and algorithm evaluation
• uncertainty, safety, privacy, and equity in allocative and representational systems
• algorithmic, ethical, policy, and societal challenges in computing in resource-constrained settings
• reliable, trustworthy, and valid inference in societally-consequential domains
• data collection, curation, governance, protection, and sharing efforts for work related to improving access to opportunity
• algorithmic approaches and tools to encourage participation, empower, and organize communities for the collective good
• regulation and policy design related to data, privacy, equity, fairness, and access to opportunity

Application areas of interest include civic participation, data economies, discrimination and bias, digital and economic inequalities, economic development, education, environment and climate, food security, healthcare, housing, infrastructure, labor markets, law and policy, low- and under-resourced computing, social and economic mobility, privacy, public service provision, recommender systems, social work, sustainable development, and transportation. Our broad list of topics illustrates how various perspectives and disciplinary approaches can triangulate progress on focus areas of shared interest.

Sincerely,

EAAMO Work-In-Progress Poster Chairs:

• Felipe Verastegui (Columbia University)
• Lisa Bondo Andersen (LMU Munich)