Submissions Open — Deadline April 13, 2026

2nd Annual
AI Research Symposium
at Hartford AI Day

Showcasing innovative AI research across Connecticut. Co-organized by the Connecticut AI Alliance (CAIA) and the University of Connecticut (UConn).

April 22, 2026
Hartford, Connecticut
Deadline: April 13, 2026
One-Page Abstracts

Abstract Submission Deadline

April 13, 2026
Submit via Google Form

Advancing AI Research Across Connecticut

We invite undergraduate students, graduate students, and faculty members from all Connecticut colleges and universities to submit one-page abstracts of their AI-related research for presentation at the 2nd Annual AI Research Symposium, held as part of Hartford AI Day 2026.

The symposium welcomes submissions based on recently published work, early results from ongoing research, or work currently under review or accepted at other venues. This non-archival format allows researchers to share their latest findings while maintaining the ability to publish elsewhere.

Building on the success of our inaugural 2025 symposium, this year's event continues to bridge academic research with industry applications and foster collaboration across institutions statewide.

Statewide Participation

Open to all CT colleges and universities — undergrad through faculty

Non-Archival

Share published, in-progress, or under-review work freely

Oral & Poster Sessions

12–15 min talks and interactive poster presentations

Research Awards

Best Paper, Best Poster, and Best Student Paper

What We're Looking For

Abstracts addressing any aspect of artificial intelligence are welcome, including but not limited to:

AI Safety & Security

  • Adversarial machine learning & robustness
  • Privacy-preserving techniques & federated learning
  • Trust, fairness, bias mitigation & alignment
  • AI governance, policy & regulation

Applications of AI

  • Healthcare & biomedical NLP
  • Manufacturing, robotics & predictive maintenance
  • Finance, insurance & risk modeling
  • Smart cities, energy & sustainability
  • Education & workforce development

Fundamental AI Techniques

  • Deep learning & foundation models
  • NLP & large language models
  • Computer vision & multimodal learning
  • Multi-agent systems & robotics
  • Explainable & interpretable AI

Emerging Trends

  • Generative AI & creative applications
  • Human-AI interaction & collaboration
  • AI ethics & responsible innovation
  • Quantum computing & AI
  • AI for scientific discovery

How to Submit

  1. 1

    Format

    One-page abstract (max 500 words, excluding title and author info). Submit as a single PDF file.

  2. 2

    Content

    Clearly describe the research problem, methodology, key results or expected contributions, and broader significance.

  3. 3

    Author Information

    Include the paper title, full names and affiliations of all authors, and corresponding author email.

  4. 4

    Non-Archival Policy

    Submissions are non-archival. Published, under-review, or accepted work is welcome if the other venue permits non-archival dual submission.

  5. 5

    Eligibility

    Open to undergrads, grad students, postdocs, and faculty. At least one author must be affiliated with a CT institution. Industry co-authors welcome.

Important Dates

Submission Deadline April 13, 2026
Notification of Acceptance April 16, 2026
Symposium April 22, 2026

Awards

  • Best Research Paper
  • Best Poster Presentation
  • Best Student Paper

All student-led submissions automatically considered for the student award.

Organized By

This symposium is jointly organized by two leading AI initiatives in Connecticut.

Connecticut AI Alliance (CAIA)

A consortium of 21 Connecticut higher education institutions advancing AI research, education, and workforce development statewide.

theccic.org/collaborations/caia

University of Connecticut (UConn)

Connecticut's flagship public research university, with nationally recognized programs in AI, data science, and computing.

uconn.edu

Ready to Share Your Research?

Submit your one-page abstract by April 13, 2026 and join researchers from across Connecticut at Hartford AI Day.