emerging leader finalist:
caleb parker
Each year the Triangle Global Health Consortium recognizes emerging leaders in North Carolina who have demonstrated significant promise and a commitment to improving the health of the world's communities.
​​We are excited to announce our 3 finalists and celebrate their leadership, innovation and spirit of collaboration! Learn more about Caleb Parker below, view our other Ward Cates Emerging Leader finalists, and cast your vote to help choose our 2017 Ward Cates Emerging Leader Award winner. The winning individual will be profiled on the TGHC website and in communications materials and will be presented with the award at the Triangle Global Health Consortium's Annual Award Celebration on May 2 at Top of the Hill Restaurant in front of many of the top regional leaders in global health.
​
​Voting is now closed as of Friday, April 14 at 5:00 pm (ET).
​
To learn more about about the Ward Cates Emerging Leader award, click here.
Dr. Ward Cates
Caleb Parker, MA
Caleb Parker, a graduate of the Geography MA program at East Carolina University, has been with FHI 360 for ten years, supporting the organization’s global health scientific objectives with his skills in geospatial analysis and qualitative research. After getting his start mainly as a qualitative analyst on projects involving HIV, maternal health, neglected tropical diseases, and gender-based violence, Mr. Parker saw opportunities for utilization of geographic visualization and analysis to better understand complex phenomena.
Over the years, he has refined his technical and theoretical application of geospatial relationships to a variety of global health issues and has actively shared those skills. Mr. Parker developed an ArcGIS training workshop and manual designed for staff working on health and development programs, and has provided this training for more than 140 staff in 12 countries to enable project teams to map their field-based data in support of program and policy decision-making. For example, he helped create a spatial model to estimate travel time for women needing comprehensive health services in an obstetric emergency in Mozambique and developed scenarios to determine the potential impact to reduce that travel time by upgrading services of facilities in key areas.