Technical Document 1
8th November 2024
This technical report produced by the Hub for Artificial Intelligence in Maternal, Sexual, and Reproductive Health (HASH) details the outcomes of a three-day inception meeting held in December 2022 to launch the ten HASH Phase I subgrantee projects officially. The HASH subgrantees were a combination of students, startup organizations, and established organizations from seven Sub-Saharan African countries. These subgrantees had emerged successfully from a widely advertised competitive Request for Applications. They will conduct 12-18-month research projects on using Artificial Intelligence (AI) to solve identified challenges in Maternal, Sexual, and Reproductive Health (MSRH) in Sub-Saharan Africa. The inception meeting comprised a series of presentations and workshops that facilitated networking, peer learning, expert feedback about the subgrantees’ proposed projects, and a framing of the HASH Network.
The HASH Network is a platform for community, collaboration, and capacity building, and its target members are researchers and innovators working at the intersection of AI and MSRH. To provide value to its members, the HASH team sought to co-create the vision for the HASH Network along with the subgrantees so that it would be framed around the needs and values of stakeholders who our subgrantees represent. At the end of the meeting, the HASH subgrantees were declared as the founding members of the HASH Network. The HASH Leadership achieved their goals of preparing the subgrantees administratively for their projects, understanding the subgrantees’ needs and how to support them, and setting the stage for meaningful engagement and belonging as members of HASH.
This report details the workshop formats and outcomes of the workshops in a way that other organizations with similar needs can replicate. The report also details the outcomes of the discussions to inform stakeholders like academia, policymakers, funders, technology incubators, and practitioners on how to support innovators better in developing AI for the MSRH sector in Sub-Saharan Africa.
Authors
- Elizabeth Oseku; Infectious Diseases Institute.
- Clare Kahuma Allelua; Infectious Diseases Institute.
- Moreen Nanyonjo; Infectious Diseases Institute.
- Dr Rosalind Parkes-Ratanshi; Infectious Diseases Institute.
Download PDF | DOI: https://doi.org/10.48060/tghn.158