Cores

The Admin Core leads the UZIMA-DS Research Hub to ensure quality and efficiency on all required activities as part of the DS-I Africa Initiative. The Admin Core Leads works closely with the DS-I Africa Steering Committee on consortium programs and with the Project and Core Leads on Research Hub issues.

Team

 

Amina Abubakar
Co-Lead
Jessica Baker
Staff
Akbar Waljee
Co-Lead
Eileen Weinheimer-Haus
Staff
Peris Musitia
Research Manager
Chelsea Tatchin
Staff
Daniel Mwandije
Staff
Tom Joe Omollo
Staff
Teresiah Mukera
Staff

The DMAC serves as a resource for facilitating and supporting effective data management and analysis using FAIR (Findable, Accessible, Interoperable, Reusable) principles, for the UZIMA-DS Research Hub, cross-DS-I Africa consortium collaborators, and the DS-I Africa Coordinating Center. The DMAC addresses the following objectives:

  • Support the Research Hub’s data ecosystem through the development and maintenance of data quality assurance measures, standards for statistical code sharing, data reproducibility, sharing and interoperability;
  • Facilitate data analytics utilizing AI/ML methods and to provide analytical support for the Hub’s research projects, and
  • Foster data sharing, interoperability and meta-data approaches across the greater DS-I Africa Consortium.

The long-term goal of the DMAC is to develop a pipeline of data support, data use and data sharing capacity to facilitate high quality research in East Africa with the potential for a model platform that can be scalable, reproducible and shareable.

Team

Farhana Alarakhiya
Consultant
Anthony Ngugi
Overall Lead
Akbar Waljee
Co-Lead
James Orwa
Staff
Zainab Samad
Co-Lead
Saleem Sayani
Consultant
Stephen Wong
Consultant
Zhenke Wu
Co-Investigator
Ji Zhu
Co-Lead
Dorcas Mwigereri
Staff
Nigel Kamotho
Data Specialist
Christopher John
Staff
Amos Bunde
Staff
Antony Kagure
Staff

The DSC aims to bridge the gap between prediction model development, adoption and dissemination into the community using a systematic strategy. We will accomplish this by engaging with key stakeholders from several sectors to identify pathways for sustainable dissemination of predictive models developed in our two Research Projects. To ensure maximal reach to stakeholders, we have established key partnerships which include

  • Public policy makers (e.g., the Kenyan Ministry of Health),
  • Health practitioners through their professional bodies like the Kenya Medical Association and Nursing Council of Kenya,
  • Non-governmental organizations (e.g., Aga Khan Foundation, Aga Khan Health Systems, Clinton Health Access Initiative, and William Davidson Institute), and
  • Community-based organizations (CBO) including those working closely with the AKF.

We will also work with the University of Michigan Ross School of Business and their action-based learning programs that operate in 92 countries, including those in East Africa. These programs will provide a valuable business perspective on how to create sustainable, attainable outcomes from our projects, specifically focusing on commercialization and scalability of the tools and solutions we create.

Amina Abubakar
Core Co-Lead
Nancy Booker
Core Co-Lead
Noni Mumba
Core Co-Lead
Peris Musitia
Research Manager
Shitemi Khamadi
Staff
Daniel Mwandije
Project Officer
Tom Joe Omollo
Project Assistant
Teresiah Mukera
Communication Officer