شارك معنا
Tell us who you are and what you would like to do. One short form, and we will take it from there.
Master’s and PhD students join one long-term program, so every thesis adds to the same body of evidence.
The LDQ Cohort is preparing for its first survey wave in October 2027. This year we are reviewing the evidence, building and piloting the survey in Arabic and English, seeking ethics approval at HBKU, Hamad Medical Corporation and Primary Health Care Corporation, and setting up four recruitment streams.
Map what is known about how people with diabetes use search engines, social media and AI chatbots for advice, and how this relates to distress and self-management, with a focus on the Gulf.
Suits: Nursing, pharmacy, public health, health management
Develop the Advice-Source Portfolio, the Digital-Advice Action Checklist and the Advice-Conflict Scale: translation into Arabic, cognitive interviews and first reliability tests.
Suits: Nursing, pharmacy, psychology, statistics
Run the pilot with about 100 adults with type 2 diabetes: test survey length, recruitment through each stream and data quality, and report what to change before Wave 1.
Suits: Nursing, pharmacy, public health, health informatics
Bring together doctors, nurses, pharmacists and diabetes educators in Qatar to agree what safe use of AI for diabetes advice looks like.
Suits: Medicine, nursing, pharmacy, health management
Each year’s students choose a module from a pre-approved library, such as:
PhD and postdoctoral researchers work on AI for diabetes: multimodal prediction, knowledge graphs, efficient AI and physics-informed neural networks. Contact us with your interests.