Dublin AI Research · Dublin & Tri-Valley

Test the hypothesis.
Publish the evidence.

Join a student research team to design an original AI study, execute reproducible experiments, and produce a reviewed paper, documented code, and findings ready for public presentation.

Join a research team See how a project becomes a paper

Founding cohort2026–27 research targets

3–6active projects

20+vetted research ideas

8–12week fellowship

1public symposium

A publication-grade research pipeline

Rigor begins before
the first experiment.

Every team works to the same demanding, visible standard.

Question

Find the gap. Define why it matters.

Design

Choose data, baselines, and metrics.

Experiment

Run, document, reproduce, refine.

Review

Internal critique, then expert feedback.

Publish

Paper, poster, code, and public talk.

Prestigious publication & presentation pathways

Credible work deserves
a serious destination.

Targets scale with project maturity—from student journals and regional symposia to leading research conferences.

01 · Flagship ML conferenceNeurIPS

Machine learning · AI · interdisciplinary research

02 · Leading ML conferenceICLR

Representation learning · deep learning · broad ML

03 · Focused research workshopsAAAI Workshops

Specialized AI topics · collaborative workshop tracks

04 · International conferenceIEEE BigData

Data science · analytics · scalable systems

05 · Computing education forumSIGCSE Posters

Computing education · posters · work in progress

06 · Regional presentationUniversity Symposia

Local audiences · faculty feedback · public presentation

07 · High-school journalNHSJS

Original student research · peer review · publication

08 · Student research symposiumJSHS

Regional research paper · oral presentation · poster