Posters will be organized into four thematic areas:

1. Accessibility: We investigate how AI can help make the world more accessible, including AI work related to disability, aging, neurodiversity, and mental health. Work in this pillar advances AI through the lens of making technology and the world more accessible and to enhance the independence of all populations.
2. Learning: We study how AI can be used to further education, to understand human cognition, and to advance the creation, acquisition, and dissemination of knowledge across individuals, teams, and organizations. This research includes building bridges between AI and educational technologies, cognitive science, neuroscience, and journalism.
3. Sustainability: We study how AI can address critical environmental and resource challenges across climate, food security, agriculture, aquaculture, as well as the civic, public health, and business implications of these challenges. This pillar focuses on how AI can contribute to sustainable solutions for pressing global challenges, as well as how AI can itself be made more sustainable.
4. Social Justice: We research the relationship between AI and important societal issues, including digital inequality, policy, and the social and historical contexts that shape technology development and deployment. This pillar examines how AI technologies interact with and impact various aspects of society and explores approaches to ensure AI development serves the broader public good.

Campus-wide submissions will be reviewed by an AIM faculty committee and evaluated for alignment with the institute’s mission to advance artificial intelligence in service of people and society. Priority will be given to proposals that reflect the following:

• Mission Alignment: Demonstrates meaningful connection to AI in service of people and society, including ethical, accessible, and socially responsible applications or inquiry. Projects may engage applied or human-centered AI, and/or advance foundational AI areas (e.g., machine learning, language technologies, computer vision, robotics, data science, or related computational methods) that underpin responsible and impactful AI development. Strong proposals reflect AIM’s interdisciplinary vision of advancing AI foundations alongside work that examines and benefits human, societal, and cultural outcomes.
• Interdisciplinary Engagement: Reflects collaboration across disciplines or fields of practice, or clearly situates the work within broader interdisciplinary conversations aligned with AIM’s pillars.
• Scholarly or Pedagogical Contribution: Presents original research, course innovation, or applied work that advances understanding, practice, or impact in AI and society.
• Clarity & Public-Facing Communication: Communicates ideas with clarity and accessibility to an interdisciplinary audience that includes faculty, students, leadership, and external partners.
• Community & Student Integration (when applicable): Meaningfully incorporates student researchers, community partnerships, or collaborative learning models that reflect AIM’s commitment to inclusive knowledge creation.

Final selections will also consider overall program balance across thematic tracks to ensure a cohesive and representative symposium showcase.

We welcome proposals from:

• Faculty across all colleges
• AIM Affiliates
• Graduate and undergraduate students
• Interdisciplinary research teams
• Course development and pedagogical initiatives
• Applied or community-engaged AI projects

Student involvement is strongly encouraged.

Submit your proposals here

All proposals must be completed through the submission form and include:

• Poster title
• 150-200 word abstract
• Track selection
• Author list and affiliations
• Any power or special setup needs

Posters should be no larger than 36"x24" (landscape orientation and submitted in a print-ready PDF following this template.