A serious program for ambitious students

Build work you can stand behind.

Advanced training, disciplined experimentation, expert review, and a documented body of original work.

Flagship program8–12 weeks

Student AI Research Fellowship

A focused 8–12 week path to a paper, code repository, research poster, and public presentation.

01

Train

Methods · literature · statistics · ethics

02

Research

Question · data · baseline · experiments

03

Publish

Review · report · code · presentation

Paper or reportResearch posterGitHub repositorySymposium talk
Project recordPublic archive

Every contribution stays visible.

  • 01Abstract, authors, and mentor
  • 02Question, methods, and results
  • 03Paper, poster, code, and data
  • 04Permanent citation information
Flagship public forumSpring 2027

Dublin Student AI Research Symposium

Opening keynoteStudent talksPoster sessionResearch workshopsIndustry panelStudent awards

Worked example · Urban perception

How one question becomes a public result.

Could computer vision help identify higher-risk pedestrian intersections in Dublin?

  1. 01 · FrameDefine the question

    Specify the study area, risk measure, and claim the project will test.

  2. 02 · ReviewStudy prior work

    Compare established street-safety, computer-vision, and geospatial methods.

  3. 03 · BuildPrepare the evidence

    Assemble public data, document labels, and establish a reproducible baseline.

  4. 04 · TestRun the experiments

    Evaluate performance, inspect failures, and repeat the analysis across conditions.

  5. 05 · ReviewDefend the result

    Respond to PI critique, mentor feedback, limitations, and competing explanations.

  6. 06 · PublishMake the work public

    Release the report, code, poster, project page, and symposium presentation.