Who changes?
Test whether equivalent measured performance conceals differences in the people, items, evidence or decisions acted on.
RIDI & decision intelligence →Who this is for
Students who can turn interest into a testable question.
Best fit includes students in computing, data, AI, biomedical informatics or education technology who can engage with literature, data or software and explain their reasoning clearly.
Open research directions
Choose a question, not a generic topic.
These are not ready-made thesis titles. They are entry points into questions that can become inspectable projects.
What does missing knowledge hide?
Study biomedical knowledge completeness and drug interactions before inference.
D3 · D4 →What does the category mean?
Connect job architecture and classification to workforce and institutional decisions that can be reviewed.
MIYAR & Kinetic HR →What counts as readiness?
Test whether a learner can explain and defend judgment and evidence, not merely produce an output.
iSCARB & AI-enabled education →The path
How a question becomes a project.
Start small. The first goal is to demonstrate reasoning and execution, not to write a giant proposal.
Define a decision or phenomenon you can examine.
Read enough to know what is established and what is missing.
Build a small analysis, experiment or prototype.
Explain the result, its limits and what should change next.
Send this
A strong first message has five parts.
- Your program and stageUndergraduate, master's or PhD.
- A specific question3–5 lines explaining the problem and why it deserves testing.
- What you have readTwo or three papers or systems related to the question.
- What you can build or analyzeData, code, an experiment, evidence review or a prototype.
- Evidence of capabilityA GitHub link, report or prior project when available.
Ready to reach out?
Send the question and the evidence you have already started.
I do not need a long message. I need to see how you think and what you can do now.