DSI-AFRICA-MUDSReH Datathon Registration Form

Theme: AI for Africa: Evaluating Artificial Intelligence Through an African Lens

"Africa is not a testing ground — it is a launchpad."

Overview

This registration captures participant background, technical and health-domain experience, collaboration preferences, ethics readiness, and logistics for the DSI-Africa-MUDSReH Health Datathon.

Step 1 of 7 Personal & Background Information

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1. Personal & Background Information

First Name *

Last Name *

Email Address *

Phone Number

Country of Residence *

City / Province

Institution / Organisation *

Gender *

Age Range *

Current Role *

Field of Study/Work *

Highest Level of Education *

3. Health Domain Knowledge

Health domains experienced in

Ophthalmology

Cardiology

Oncology

Radiology

Epidemiology

Mental Health

Public Health

Worked with EHRs? *

AI medical imaging models familiarity

Health data types worked with

What health problem do you most want to solve through AI/data? *

4. Team & Collaboration

How are you attending? *

Role in team

Collaboration preference *

5. Ethics & Compliance

Healthcare data privacy regulations awareness

Data ethics / responsible AI training *

I agree to handle all health data ethically and confidentially. *

6. Motivation & Expectations

Why are you joining this health datathon? *

What do you hope to learn? *

Attended datathon/hackathon before? *

7. Logistics & Accessibility

Accessibility accommodations

Dietary requirements

Attendance format *