Leads two strategic initiatives at IDinsight (1) machine learning work on innovation team and (2) projects based in the US focused on local poverty issues.
Ben Brockman is a Associate Director at IDinsight, based in Washington, D.C.
In his role on the innovation team Ben leads IDinsight's machine learning initiative and is working to build a practice focused on bringing IDinsight's services to disadvantaged communities in the US. His current work has focused on helping with Educate Girls to scale the use of machine learning to locate out of school children across Northern India and using predictive analytics to improve IDinsight’s internal data collection and research tools.
Previously, Ben spent 3 years with IDinsight in Asia and Africa as one of the organizations original batch of Associates. Over those years, Ben worked on a sanitation RCT in Cambodia, a pediatric HIV care evaluation in Zambia, and on a variety of projects in India (based in Bangalore, Delhi, and Patna).
Prior to rejoining IDinsight in 2017, Ben worked on the Hillary Clinton presidential campaign both at headquarters and as an organizing fellow.
Ben holds a bachelor's degree in International Relations, magna cum laude, from the University of Pennsylvania and an MPA in International Development (MPA/ID) from the Harvard Kennedy School, where he was a Center for Public Leadership Dubin Fellow.
List of Projects
"Can Machine Learning Double Your Social Impact?" (with Jeff McManus, Andrew Fraker, and Buddy Shah). Stanford Social Innovation Review, February 20, 2019. (Article)
“A Cluster Randomised Trial on the Impact of Integrating Early Infant HIV Diagnosis with the Expanded Programme on Immunization on Immunization and HIV Testing Rates in Rural Health Facilities in Southern Zambia” (with Wang P, Mwango A, Moberley S, Connor AL, Kalesha-Masumbu P, et al.). PLoS ONE, October 29, 2015: 10(10): e0141455. doi:10.1371/journal.pone.0141455. (Article)