GHAIN MENA
Call For Proposals
CALL SUMMARY
The Global Health and Artificial Intelligence Network in the Middle East and North Africa region (GHAIN MENA) is a 3-year project led by the E-Sahha Program at the Global Health Institute. Supported by the International Development Research Centre (IDRC), GHAIN MENA aims to empower researchers from different institutions of the MENA region to design and implement responsible AI-based digital health interventions through partnerships and tailored capacity building.
PRIORITY AREAS
Submitted proposals should focus on responsible AI-based digital interventions that support at least one of the following priority areas:
TRACKS
Proposals should fall under one of these tracks:
Research Track
This track supports exploratory research studies that aim to generate evidence on the effectiveness of proposed responsible AI-based digital health interventions targeting at least one of the priority areas stated above.
Innovation Track
This track supports the development, testing, and scaling of innovative AI-based solutions that have the potential for long-term impact on at least one of the priority areas stated above. It also entails the use of applied research where a prototype/application/concept already exists and requires advancement. This track may, among many other possibilities, produce a system as an output.
ELIGIBILITY CRITERIA
To be eligible to apply to the GHAIN MENA grant, the primary applicant must:
BUDGET
A total of $300,000 is allocated for the GHAIN MENA sub-grants, which will be awarded to six (6) selected projects, with a maximum of $50,000 per project.
HOW TO APPLY
To apply to the GHAIN MENA call for proposals, please fill in the application form below. For more details, please download our Call for Proposals .
Selected grantees will be contacted via email by the GHAIN MENA team to initiate the sub-granting process in September 2023.
Deadline to Apply: July 31, 2023, at 11:59 p.m. (Beirut time; GMT+3:00).
-
-
MAY 2023
-
JULY 2023
-
SEPTEMBER 2023
-
APPLICATION FORM
Application Form is closed